Complex Networks VIII / Gonçalves, Bruno ; Menezes, Ronaldo ; Sinatra, Roberta ; Zlatic, Vinko  

Público ISBD Ningún comentario para este título. Título : 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: Teoría de grafos  Sociología  Inteligencia Computacional  Inteligencia artificial  Dinámica  Teorías 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 física, 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 línea, 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: Teoría de grafos  Sociología  Inteligencia Computacional  Inteligencia artificial  Dinámica  Teorías 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 física, 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 línea, 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 [...]

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