Complex Networks IX / Cornelius, Sean ; Coronges, Kate ; Gonçalves, Bruno ; Sinatra, Roberta ; Vespignani, Alessandro  

Público ISBD Ningún comentario para este título. Título : 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: Teoría de grafos  Sociología  Inteligencia Computacional  Inteligencia artificial  Dinámica  Teorías 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 raíces en las ciencias físicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos, computacionales. Herramientas y teorías 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 físicas, 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 línea, 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: Teoría de grafos  Sociología  Inteligencia Computacional  Inteligencia artificial  Dinámica  Teorías 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 raíces en las ciencias físicas, de la información y sociales, el estudio de redes complejas proporciona un conjunto formal de métodos matemáticos, computacionales. Herramientas y teorías 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 físicas, 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 línea, 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 [...]

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