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 [...] |
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