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Complex Networks VI

Proceedings of the 6th Workshop on Complex Networks CompleNet 2015

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Giuseppe Mangioni

    1. Dip. di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Catania, Italy

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  2. Filippo Simini

    1. Dept. of Engineering Mathematics, University of Bristol, Clifton, United Kingdom

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  3. Stephen Miles Uzzo

    1. New York Hall of Science, New York, USA

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  4. Dashun Wang

    1. College of Information Sciences and Technology, Pennsylvania State University, University Park, USA

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  • Recent research on Complex Networks
  • Results of the 6th Workshop on Complex Networks CompleNet held 25-27 March 2015 in New York, US
  • Focuses on the interdisciplinary nature of complex-network approach including contributions that span fields from biology to computer sciences, from economics to social sciences

Part of the book series: Studies in Computational Intelligence (SCI, volume 597)

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Table of contents (22 papers)

  1. Front Matter

    Pages 1-9
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  2. A Flexible Fitness Function for Community Detection in Complex Networks

    • Fabrício Olivetti de França, Guilherme Palermo Coelho
    Pages 1-12

  3. Finding Network Motifs Using MCMC Sampling

    • Tanay Kumar Saha, Mohammad Al Hasan
    Pages 13-24

  4. Analysis of the Robustness of Degree Centrality against Random Errors in Graphs

    • Sho Tsugawa, Hiroyuki Ohsaki
    Pages 25-36

  5. A Model for Ambiguation and an Algorithm for Disambiguation in Social Networks

    • Janaína Gomide, Hugo Kling, Daniel Figueiredo
    Pages 37-44

  6. Measuring the Generalized Friendship Paradox in Networks with Quality-Dependent Connectivity

    • Naghmeh Momeni, Michael G. Rabbat
    Pages 45-55

  7. Expected Nodes: A Quality Function for the Detection of Link Communities

    • Noé Gaumont, François Queyroi, Clémence Magnien, Matthieu Latapy
    Pages 57-64

  8. Core-Periphery Models for Graphs Based on their δ-Hyperbolicity: An Example Using Biological Networks

    • Hend Alrasheed, Feodor F. Dragan
    Pages 65-77

  9. Fast Optimization of Hamiltonian for Constrained Community Detection

    • Keisuke Nakata, Tsuyoshi Murata
    Pages 79-89

  10. Selecting Seed Nodes for Influence Maximization in Dynamic Networks

    • Shogo Osawa, Tsuyoshi Murata
    Pages 91-98

  11. Neighbourhood Distinctiveness: An Initial Study

    • A. Hecker, C. J. Carstens, K. J. Horadam
    Pages 99-110

  12. An Efficient Estimation of a Node’s Betweenness

    • Manas Agarwal, Rishi Ranjan Singh, Shubham Chaudhary, S. R. S. Iyengar
    Pages 111-121

  13. Sentiment Classification Analysis of Chinese Microblog Network

    • Xiaotian Wang, Chuang Zhang, Ming Wu
    Pages 123-129

  14. Techniques for Brain Functional Connectivity Analysis from High Resolution Imaging

    • A. C. Leitão, A. P. Francisco, R. Abreu, S. Nunes, J. Rodrigues, P. Figueiredo et al.
    Pages 131-138

  15. A Two-Parameter Method to Characterize the Network Reliability for Diffusive Processes

    • Madhurima Nath, Stephen Eubank, Mina Youssef, Yasamin Khorramzadeh, Shahir Mowlaei
    Pages 139-148

  16. Analysis of the Effects of Communication Delay in the Distributed Global Connectivity Maintenance of a Multi-robot System

    • Vinícius A. Battagello, Carlos H. C. Ribeiro
    Pages 149-157

  17. Inter-layer Degree Correlations in Heterogeneously Growing Multiplex Networks

    • Babak Fotouhi, Naghmeh Momeni
    Pages 159-170

  18. Dynamics of Conflicting Beliefs in Social Networks

    • Shuwei Chen, David H. Glass, Mark McCartney
    Pages 171-178

  19. Building Mini-Categories in Product Networks

    • Dmitry Zinoviev, Zhen Zhu, Kate Li
    Pages 179-190

  20. Categorical Framework for Complex Organizational Networks: Understanding the Effects of Types, Size, Layers, Dynamics and Dimensions

    • Chris Arney, Kate Coronges
    Pages 191-200
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Keywords

About this book

Elucidating the spatial and temporal dynamics of how things connect has become one of the most important areas of research in the 21st century. Network science now pervades nearly every science domain, resulting in new discoveries in a host of dynamic social and natural systems, including: how neurons connect and communicate in the brain, how information percolates within and among social networks, the evolution of science research through co-authorship networks, the spread of epidemics and many other complex phenomena.

Over the past decade, advances in computational power have put the tools of network analysis in the hands of increasing numbers of scientists, enabling more explorations of our world than ever before possible. Information science, social sciences, systems biology, ecosystems ecology, neuroscience and physics all benefit from this movement, which combines graph theory with data sciences to develop and validate theories about the world around us.

This book brings together cutting-edge research from the network science field and includes diverse and interdisciplinary topics such as: modeling the structure of urban systems, behavior in social networks, education and learning, data network architecture, structure and dynamics of organizations, crime and terrorism, as well as network topology, modularity and community detection.

Editors and Affiliations

  • Dip. di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Catania, Italy

    Giuseppe Mangioni

  • Dept. of Engineering Mathematics, University of Bristol, Clifton, United Kingdom

    Filippo Simini

  • New York Hall of Science, New York, USA

    Stephen Miles Uzzo

  • College of Information Sciences and Technology, Pennsylvania State University, University Park, USA

    Dashun Wang

Bibliographic Information

  • Book Title: Complex Networks VI

  • Book Subtitle: Proceedings of the 6th Workshop on Complex Networks CompleNet 2015

  • Editors: Giuseppe Mangioni, Filippo Simini, Stephen Miles Uzzo, Dashun Wang

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-16112-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-16111-2Published: 27 March 2015

  • Softcover ISBN: 978-3-319-38650-8Published: 09 October 2016

  • eBook ISBN: 978-3-319-16112-9Published: 14 March 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 232

  • Number of Illustrations: 22 b/w illustrations, 52 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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