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Autor Sinatra, Roberta |
Documentos disponibles escritos por este autor (2)
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 [...]
