Información del autor
Autor Gonçalves, Bruno |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsquedaComplex Networks IX / Cornelius, Sean ; Coronges, Kate ; Gonçalves, Bruno ; Sinatra, Roberta ; Vespignani, Alessandro
TÃtulo : Complex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018 Tipo de documento: documento electrónico Autores: Cornelius, Sean, ; Coronges, Kate, ; Gonçalves, Bruno, ; Sinatra, Roberta, ; Vespignani, Alessandro, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XV, 350 p. 90 ilustraciones, 81 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-73198-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales que trabajan en distintos dominios y disciplinas de investigación para medir, modelar y visualizar redes complejas. Recoge los trabajos presentados en la 9ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2018 en Boston, MA en marzo de 2018. Con raÃces en las ciencias fÃsicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos, computacionales. Herramientas y teorÃas para describir, prescribir y predecir dinámicas y comportamientos de sistemas complejos. A pesar de su diversidad, ya sea que los sistemas estén compuestos de redes fÃsicas, tecnológicas, informativas o sociales, comparten muchos principios organizativos comunes y, por lo tanto, pueden estudiarse con enfoques similares. Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la toma de decisiones en grupo, la conectividad cerebral y celular, la controlabilidad y resiliencia de la red, el activismo en lÃnea, los sistemas de recomendación y la seguridad cibernética. Nota de contenido: Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi–supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? -- Dynamic Visualization of Citation Networks and Detection of Influential Node Addition -- A Trust-Based News Spreading Model -- Discovering Mobility Functional Areas: A Mobility Data Analysis Approach -- Estimating Peer Influence Effects Under Homphily: Randomized Treatments and Insights. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Complex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018 [documento electrónico] / Cornelius, Sean, ; Coronges, Kate, ; Gonçalves, Bruno, ; Sinatra, Roberta, ; Vespignani, Alessandro, . - 1 ed. . - [s.l.] : Springer, 2018 . - XV, 350 p. 90 ilustraciones, 81 ilustraciones en color.
ISBN : 978-3-319-73198-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales que trabajan en distintos dominios y disciplinas de investigación para medir, modelar y visualizar redes complejas. Recoge los trabajos presentados en la 9ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2018 en Boston, MA en marzo de 2018. Con raÃces en las ciencias fÃsicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos, computacionales. Herramientas y teorÃas para describir, prescribir y predecir dinámicas y comportamientos de sistemas complejos. A pesar de su diversidad, ya sea que los sistemas estén compuestos de redes fÃsicas, tecnológicas, informativas o sociales, comparten muchos principios organizativos comunes y, por lo tanto, pueden estudiarse con enfoques similares. Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la toma de decisiones en grupo, la conectividad cerebral y celular, la controlabilidad y resiliencia de la red, el activismo en lÃnea, los sistemas de recomendación y la seguridad cibernética. Nota de contenido: Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi–supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? -- Dynamic Visualization of Citation Networks and Detection of Influential Node Addition -- A Trust-Based News Spreading Model -- Discovering Mobility Functional Areas: A Mobility Data Analysis Approach -- Estimating Peer Influence Effects Under Homphily: Randomized Treatments and Insights. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 Tipo de documento: documento electrónico Autores: Gonçalves, Bruno, ; Menezes, Ronaldo, ; Sinatra, Roberta, ; Zlatic, Vinko, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XIV, 262 p. 88 ilustraciones, 75 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-54241-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro recopila los trabajos presentados en la 8.ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2017 en Dubrovnik, Croacia, del 21 al 24 de marzo de 2017. CompleNet tiene como objetivo reunir a investigadores y profesionales que trabajan en áreas relacionadas con redes complejas. Las últimas dos décadas han sido testigos de un aumento exponencial en el número de publicaciones dentro de este campo. Desde los sistemas biológicos hasta la informática, desde los sistemas económicos hasta los sociales, las redes complejas se están volviendo omnipresentes en muchos campos de la ciencia. Es esta naturaleza interdisciplinaria de las redes complejas lo que CompleNet pretende abordar. En las últimas décadas se ha visto el surgimiento de redes complejas como lenguaje con el que se puede describir y comprender adecuadamente una amplia gama de fenómenos complejos en campos tan diversos como la fÃsica, la informática y la medicina (por nombrar algunos). Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la controlabilidad de la red, la estructura social, el comportamiento en lÃnea, los sistemas de recomendación y la estructura de la red. Nota de contenido: Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network. Tipo de medio : Computadora Summary : This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 [documento electrónico] / Gonçalves, Bruno, ; Menezes, Ronaldo, ; Sinatra, Roberta, ; Zlatic, Vinko, . - 1 ed. . - [s.l.] : Springer, 2017 . - XIV, 262 p. 88 ilustraciones, 75 ilustraciones en color.
ISBN : 978-3-319-54241-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro recopila los trabajos presentados en la 8.ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2017 en Dubrovnik, Croacia, del 21 al 24 de marzo de 2017. CompleNet tiene como objetivo reunir a investigadores y profesionales que trabajan en áreas relacionadas con redes complejas. Las últimas dos décadas han sido testigos de un aumento exponencial en el número de publicaciones dentro de este campo. Desde los sistemas biológicos hasta la informática, desde los sistemas económicos hasta los sociales, las redes complejas se están volviendo omnipresentes en muchos campos de la ciencia. Es esta naturaleza interdisciplinaria de las redes complejas lo que CompleNet pretende abordar. En las últimas décadas se ha visto el surgimiento de redes complejas como lenguaje con el que se puede describir y comprender adecuadamente una amplia gama de fenómenos complejos en campos tan diversos como la fÃsica, la informática y la medicina (por nombrar algunos). Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la controlabilidad de la red, la estructura social, el comportamiento en lÃnea, los sistemas de recomendación y la estructura de la red. Nota de contenido: Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network. Tipo de medio : Computadora Summary : This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Complex Networks X : Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Tipo de documento: documento electrónico Autores: Cornelius, Sean P., ; Granell Martorell, Clara, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: X, 183 p. 58 ilustraciones, 49 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-14459-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales que trabajan en distintos dominios y disciplinas de investigación para medir, modelar y visualizar redes complejas. Recoge los trabajos presentados en la Décima Conferencia Internacional sobre Redes Complejas (CompleNet) en Taragona, España, marzo de 2019. Con raÃces en las ciencias fÃsicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos y herramientas computacionales. y teorÃas para describir, prescribir y predecir dinámicas y comportamientos de sistemas complejos. A pesar de su diversidad, ya sea que los sistemas estén compuestos de redes fÃsicas, tecnológicas, informativas o sociales, comparten muchos principios organizativos comunes y, por lo tanto, pueden estudiarse con enfoques similares. Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la toma de decisiones en grupo, la conectividad cerebral y celular, la controlabilidad y resiliencia de la red, el activismo en lÃnea, los sistemas de recomendación y la seguridad cibernética. Este texto será de interés para estudiantes e investigadores en el campo. . Nota de contenido: Observability of dynamical networks from graphic and symbolic approaches -- Exploratory factor analysis of graphical features for link prediction in social networks -- An efficient approach for counting occurring induced subgraphs -- A Generalized Configuration Model with Degree Correlations -- Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models -- Spread and control of misinformation with heterogeneous agents -- Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking -- Combining path-constrained random walks to recover link weights in heterogeneous information networks -- The Structure and Evolution of an Offline Peer-to-Peer Financial Network -- Modelling students' thematically associated knowledge: Networked knowledge from affinity statistics -- Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction -- Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter -- Social Media Vocabulary Reveals Education Attainment of Populations -- Exploring the role and nature of interactions between Institutes in a Local Affiliation Network. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. This text will appeal to students and researchers in the field. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Complex Networks X : Proceedings of the 10th Conference on Complex Networks CompleNet 2019 [documento electrónico] / Cornelius, Sean P., ; Granell Martorell, Clara, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, . - 1 ed. . - [s.l.] : Springer, 2019 . - X, 183 p. 58 ilustraciones, 49 ilustraciones en color.
ISBN : 978-3-030-14459-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Inteligencia artificial Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales que trabajan en distintos dominios y disciplinas de investigación para medir, modelar y visualizar redes complejas. Recoge los trabajos presentados en la Décima Conferencia Internacional sobre Redes Complejas (CompleNet) en Taragona, España, marzo de 2019. Con raÃces en las ciencias fÃsicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos y herramientas computacionales. y teorÃas para describir, prescribir y predecir dinámicas y comportamientos de sistemas complejos. A pesar de su diversidad, ya sea que los sistemas estén compuestos de redes fÃsicas, tecnológicas, informativas o sociales, comparten muchos principios organizativos comunes y, por lo tanto, pueden estudiarse con enfoques similares. Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la toma de decisiones en grupo, la conectividad cerebral y celular, la controlabilidad y resiliencia de la red, el activismo en lÃnea, los sistemas de recomendación y la seguridad cibernética. Este texto será de interés para estudiantes e investigadores en el campo. . Nota de contenido: Observability of dynamical networks from graphic and symbolic approaches -- Exploratory factor analysis of graphical features for link prediction in social networks -- An efficient approach for counting occurring induced subgraphs -- A Generalized Configuration Model with Degree Correlations -- Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models -- Spread and control of misinformation with heterogeneous agents -- Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking -- Combining path-constrained random walks to recover link weights in heterogeneous information networks -- The Structure and Evolution of an Offline Peer-to-Peer Financial Network -- Modelling students' thematically associated knowledge: Networked knowledge from affinity statistics -- Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction -- Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter -- Social Media Vocabulary Reveals Education Attainment of Populations -- Exploring the role and nature of interactions between Institutes in a Local Affiliation Network. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. This text will appeal to students and researchers in the field. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 Tipo de documento: documento electrónico Autores: Barbosa, Hugo, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, ; Mangioni, Giuseppe, ; Menezes, Ronaldo, ; Oliveira, Marcos, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XVI, 404 p. 163 ilustraciones, 134 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-40943-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales de diversas disciplinas (desde sociologÃa, biologÃa, fÃsica e informática) que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. Este volumen contiene contribuciones presentadas en la 11.ª Conferencia Internacional sobre Redes Complejas (CompleNet) en Exeter, Reino Unido, del 31 de marzo al 3 de abril de 2020. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas. a lo informativo y lo social. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Part I Theory -- Condensed Graphs: a generic framework for accelerating subgraph census computation -- Group cohesion assessment in networks; Node Classiï¬cation with Bounded Error Rates -- Assessment of the effectiveness of random and real-networks based on the asymptotic entropy -- Unsupervised Strategies to Network Topology Reconï¬guration Optimization with Limited Link Addition -- Embedding of Signed Networks Focusing on Both Structure and Relation -- Power of Nodes Based on Their Interdependence -- Asymmetric Node Similarity Embedding for Directed Graphs -- Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions -- Part II Processes -- Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots? -- Collective Decision-Making on Triadic Graphs.-Reconstruction of Demand Shocks in Input-Output Networks -- Part III Biomedical Applications -- Boolean Threshold Networks as Models of Genotype-Phenotype Maps -- Subsystem Cooperation in Complex Networks - Case Brain Network -- Network-Based Approach for Modeling and Analyzing Coronary Angiography.-Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors -- Part IV Social Media Analysis -- Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efï¬cacy of Neighborhoods -- A Longitudinal Analysis of Vocabulary Changes in Social Media -- Communities of Human Migration in Social Media: An Experiment in Social -- Demographic analysis of music preferences in streaming service networks -- Part V Mobility Networks -- Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model over Urban Street Networks -- Optimisation of Signal Timings in a Road Network -- Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration -- Dynamic Network of United States Air Transportation at Multiple Levels -- Part VI Economical Networks -- Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends -- Finding the Worldwide Industrial Transfer Pattern under the Perspective of Econophysics -- Similarity Analysis in Multilayer Temporal Food Trade Network -- Transactional Compatible Representations for High Value Client Identiï¬cation: A Financial Case Study -- Part VII Social Problems -- A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin American country -- Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms -- Diversity Analysis Exposes Unexpected key Roles in Multiplex Crime Networks -- Part VIII Science of Science -- Policy-Relevant Science: The Depth and Breadth of Characterizing the Dynamics of Academic Afï¬liations: A Network Science Approach. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 [documento electrónico] / Barbosa, Hugo, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, ; Mangioni, Giuseppe, ; Menezes, Ronaldo, ; Oliveira, Marcos, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVI, 404 p. 163 ilustraciones, 134 ilustraciones en color.
ISBN : 978-3-030-40943-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: TeorÃa de grafos SociologÃa Inteligencia Computacional Dinámica TeorÃas no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Clasificación: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales de diversas disciplinas (desde sociologÃa, biologÃa, fÃsica e informática) que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. Este volumen contiene contribuciones presentadas en la 11.ª Conferencia Internacional sobre Redes Complejas (CompleNet) en Exeter, Reino Unido, del 31 de marzo al 3 de abril de 2020. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas. a lo informativo y lo social. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Part I Theory -- Condensed Graphs: a generic framework for accelerating subgraph census computation -- Group cohesion assessment in networks; Node Classiï¬cation with Bounded Error Rates -- Assessment of the effectiveness of random and real-networks based on the asymptotic entropy -- Unsupervised Strategies to Network Topology Reconï¬guration Optimization with Limited Link Addition -- Embedding of Signed Networks Focusing on Both Structure and Relation -- Power of Nodes Based on Their Interdependence -- Asymmetric Node Similarity Embedding for Directed Graphs -- Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions -- Part II Processes -- Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots? -- Collective Decision-Making on Triadic Graphs.-Reconstruction of Demand Shocks in Input-Output Networks -- Part III Biomedical Applications -- Boolean Threshold Networks as Models of Genotype-Phenotype Maps -- Subsystem Cooperation in Complex Networks - Case Brain Network -- Network-Based Approach for Modeling and Analyzing Coronary Angiography.-Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors -- Part IV Social Media Analysis -- Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efï¬cacy of Neighborhoods -- A Longitudinal Analysis of Vocabulary Changes in Social Media -- Communities of Human Migration in Social Media: An Experiment in Social -- Demographic analysis of music preferences in streaming service networks -- Part V Mobility Networks -- Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model over Urban Street Networks -- Optimisation of Signal Timings in a Road Network -- Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration -- Dynamic Network of United States Air Transportation at Multiple Levels -- Part VI Economical Networks -- Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends -- Finding the Worldwide Industrial Transfer Pattern under the Perspective of Econophysics -- Similarity Analysis in Multilayer Temporal Food Trade Network -- Transactional Compatible Representations for High Value Client Identiï¬cation: A Financial Case Study -- Part VII Social Problems -- A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin American country -- Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms -- Diversity Analysis Exposes Unexpected key Roles in Multiplex Crime Networks -- Part VIII Science of Science -- Policy-Relevant Science: The Depth and Breadth of Characterizing the Dynamics of Academic Afï¬liations: A Network Science Approach. Tipo de medio : Computadora Summary : This book aims to bring together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 Tipo de documento: documento electrónico Autores: Teixeira, Andreia Sofia, ; Pacheco, Diogo, ; Oliveira, Marcos, ; Barbosa, Hugo, ; Gonçalves, Bruno, ; Menezes, Ronaldo, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: VIII, 133 p. 48 ilustraciones, 40 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-81854-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: teorÃa del sistema TeorÃa de grafos Ciencias de la Computación Inteligencia artificial Sistemas complejos Ciencia de los datos Clasificación: 530.1 Resumen: Este libro contiene contribuciones presentadas en la 12.ª Conferencia Internacional sobre Redes Complejas (CompleNet), del 24 al 26 de mayo de 2021. CompleNet es una conferencia internacional sobre redes complejas que reúne a investigadores y profesionales de diversas disciplinas, desde sociologÃa, biologÃa, fÃsica e informática. ciencia, que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas, informativas y sociales. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Effects of Hidden Users on Cascade-based Community Detection -- Game of Thieves and WERW-Kpath: Two Novel Measures of Nodes and Edges Centrality for Mafia Networks -- Common Knowledge on Facebook Communication Networks: Models and Experimental Findings -- Logistics Route Planning in Agent-Based Simulation and its Optimization Represented in Higher-Order Markov-Chain Networks -- Degree-Degree Correlation in Networks with Preferential Attachment Based Growth -- On Measuring the Diversity of Organizational Networks -- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research -- MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity -- Modelling Damage Propagation in Complex Networks: Life Exists in Half-chaos -- Information Seeking as an Evolutionary Game -- How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?. Tipo de medio : Computadora Summary : This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 [documento electrónico] / Teixeira, Andreia Sofia, ; Pacheco, Diogo, ; Oliveira, Marcos, ; Barbosa, Hugo, ; Gonçalves, Bruno, ; Menezes, Ronaldo, . - 1 ed. . - [s.l.] : Springer, 2021 . - VIII, 133 p. 48 ilustraciones, 40 ilustraciones en color.
ISBN : 978-3-030-81854-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: teorÃa del sistema TeorÃa de grafos Ciencias de la Computación Inteligencia artificial Sistemas complejos Ciencia de los datos Clasificación: 530.1 Resumen: Este libro contiene contribuciones presentadas en la 12.ª Conferencia Internacional sobre Redes Complejas (CompleNet), del 24 al 26 de mayo de 2021. CompleNet es una conferencia internacional sobre redes complejas que reúne a investigadores y profesionales de diversas disciplinas, desde sociologÃa, biologÃa, fÃsica e informática. ciencia, que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas, informativas y sociales. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Effects of Hidden Users on Cascade-based Community Detection -- Game of Thieves and WERW-Kpath: Two Novel Measures of Nodes and Edges Centrality for Mafia Networks -- Common Knowledge on Facebook Communication Networks: Models and Experimental Findings -- Logistics Route Planning in Agent-Based Simulation and its Optimization Represented in Higher-Order Markov-Chain Networks -- Degree-Degree Correlation in Networks with Preferential Attachment Based Growth -- On Measuring the Diversity of Organizational Networks -- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research -- MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity -- Modelling Damage Propagation in Complex Networks: Life Exists in Half-chaos -- Information Seeking as an Evolutionary Game -- How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?. Tipo de medio : Computadora Summary : This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
