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Complex Networks VII

Proceedings of the 7th Workshop on Complex Networks CompleNet 2016

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Hocine Cherifi

    1. LE2I , UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

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  2. Bruno Gonçalves

    1. New York University, Center for Data Science, USA

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  3. Ronaldo Menezes

    1. BioComplex Laboratory, Computer Sciences, Florida Institute of Technology, Melbourne, FL, USA

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  4. Roberta Sinatra

    1. 111 Dana, Physics Department, Northeastern University, Boston, USA

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  • Recent research on Complex Networks
  • Results of the 7th Workshop on Complex Networks CompleNet held 23-25
  • March 2016 in Dijon, France
  • Focuses on the interdisciplinary nature of complex-network approach including contributions that span fields from biology to computer sciences, from economics to social sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 644)

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Table of contents (28 papers)

  1. Front Matter

    Pages i-ix
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  2. Theory of Complex Networks

    1. Front Matter

      Pages 1-1
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    2. Spanning Edge Betweenness in Practice

      • Andreia Sofia Teixeira, Francisco C. Santos, Alexandre P. Francisco
      Pages 3-10

    3. Predictive Partitioning for Efficient BFS Traversal in Social Networks

      • Damien Fay
      Pages 11-26

  3. Multilayer Networks

    1. Front Matter

      Pages 27-27
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    2. Temporal Multi-layer Network Construction from Major News Events

      • Borut Sluban, Miha Grčar, Igor Mozetič
      Pages 29-41

  4. Controllability of Networks

    1. Front Matter

      Pages 43-43
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    2. Sensitivity of Network Controllability to Weight-Based Edge Thresholding

      • Barnabé Monnot, Justin Ruths
      Pages 45-61

  5. Algorithms for Networks

    1. Front Matter

      Pages 63-63
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    2. Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services

      • Riccardo Guidotti, Michele Berlingerio
      Pages 65-78

    3. Particle Filtering as a Modeling Tool for Anomaly Detection in Networks

      • Ibrahima Gueye, Joseph Ndong
      Pages 79-92

    4. The Marginal Benefit of Monitor Placement on Networks

      • Benjamin Davis, Ralucca Gera, Gary Lazzaro, Bing Yong Lim, Erik C. Rye
      Pages 93-104

  6. Community Detection

    1. Front Matter

      Pages 105-105
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    2. Analysis of the Temporal and Structural Features of Threads in a Mailing-List

      • Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S’niehotta, Qinna Wang, Matthieu Latapy
      Pages 107-118

    3. Incorporation of Social Features in the Naming Game for Community Detection

      • Thais Gobet Uzun, Carlos Henrique Costa Ribeiro
      Pages 119-131

    4. A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

      • Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo
      Pages 133-144

    5. Improving Network Community Structure with Link Prediction Ranking

      • Mingming Chen, Ashwin Bahulkar, Konstantin Kuzmin, Boleslaw K. Szymanski
      Pages 145-158

    6. A Subgraph-Based Ranking System for Professional Tennis Players

      • David Aparício, Pedro Ribeiro, Fernando Silva
      Pages 159-171

    7. Returners and Explorers Dichotomy in Web Browsing Behavior—A Human Mobility Approach

      • Hugo S. Barbosa, Fernando B. de Lima Neto, Alexandre Evsukoff, Ronaldo Menezes
      Pages 173-184

  7. Dynamics and Spreading Phenomena on Networks

    1. Front Matter

      Pages 185-185
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Keywords

About this book

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 just 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 ranging from network controllability, social structure, online behavior, recommendation systems, and network structure. This book includes the peer-reviewed list of works presented at the 7th Workshop on Complex Networks CompleNet 2016 which was hosted by the Université de Bourgogne, France, from March 23-25, 2016. The 28 carefully reviewed and selected contributions in this book address many topics related to complex networks and have been organized in seven major groups: (1) Theory of Complex Networks, (2) Multilayer networks, (3) Controllability of networks, (4) Algorithms for networks, (5) Community detection, (6) Dynamics and spreading phenomena on networks, (7) Applications of Networks.

Editors and Affiliations

  • LE2I , UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    Hocine Cherifi

  • New York University, Center for Data Science, USA

    Bruno Gonçalves

  • BioComplex Laboratory, Computer Sciences, Florida Institute of Technology, Melbourne, FL, USA

    Ronaldo Menezes

  • 111 Dana, Physics Department, Northeastern University, Boston, USA

    Roberta Sinatra

Bibliographic Information

  • Book Title: Complex Networks VII

  • Book Subtitle: Proceedings of the 7th Workshop on Complex Networks CompleNet 2016

  • Editors: Hocine Cherifi, Bruno Gonçalves, Ronaldo Menezes, Roberta Sinatra

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-30569-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-30568-4Published: 14 March 2016

  • Softcover ISBN: 978-3-319-80839-0Published: 25 April 2018

  • eBook ISBN: 978-3-319-30569-1Published: 10 March 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 378

  • Number of Illustrations: 127 b/w illustrations, 17 illustrations in colour

  • Topics: Computational Intelligence, Applications of Graph Theory and Complex Networks, Artificial Intelligence, Complexity

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