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Complex Networks & Their Applications VI

Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Chantal Cherifi

    1. University of Lyon 2, Lyon, France

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  2. Hocine Cherifi

    1. University of Burgundy, Dijon, France

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  3. Márton Karsai

    1. École Normale Supérieure de Lyon, Lyon, France

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  4. Mirco Musolesi

    1. University College London, London, United Kingdom

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  • Presents recent research on complex networks and their applications
  • Gathers the edited proceedings of the sixth International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2017) conference which took place in Lyon, France on November 29 – December 1, 2017
  • Presents state-of-the-art research on complex networks, including various research directions
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 689)

Included in the following conference series:

Conference proceedings info: COMPLEX NETWORKS 2017.

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About this book

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.

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Keywords

Table of contents (103 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Network Measures

    1. Front Matter

      Pages 1-1
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    2. A Comparison of Approaches to Computing Betweenness Centrality for Large Graphs

      • John Matta
      Pages 3-13

    3. Cycle-Centrality in Economic and Biological Networks

      • Pierre-Louis Giscard, Richard C. Wilson
      Pages 14-28

    4. A Game Theoretic Neighbourhood-Based Relevance Index

      • Giulia Cesari, Encarnación Algaba, Stefano Moretti, Juan A. Nepomuceno
      Pages 29-40

    5. The Impact of Partially Missing Communities on the Reliability of Centrality Measures

      • Christoph Martin
      Pages 41-52

    6. Consistent Estimation of Mixed Memberships with Successive Projections

      • Maxim Panov, Konstantin Slavnov, Roman Ushakov
      Pages 53-64

    7. Reducing Pivots of Approximated Betweenness Computation by Hierarchically Clustering Complex Networks

      • Angelo Furno, Nour-Eddin El Faouzi, Rajesh Sharma, Eugenio Zimeo
      Pages 65-77

    8. Power Network Equivalents: A Network Science Based K-Means Clustering Method Integrated with Silhouette Analysis

      • D. Sharma, K. Thulasiraman, D. Wu, J. N. Jiang
      Pages 78-89

  3. Link Analysis and Ranking

    1. Front Matter

      Pages 91-91
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    2. Newton’s Gravitational Law for Link Prediction in Social Networks

      • Akanda Wahid -Ul- Ashraf, Marcin Budka, Katarzyna Musial-Gabrys
      Pages 93-104

    3. Efficient Outlier Detection in Hyperedge Streams Using MinHash and Locality-Sensitive Hashing

      • Stephen Ranshous, Mandar Chaudhary, Nagiza F. Samatova
      Pages 105-116

    4. Layer-Wise Model Stacking for Link Prediction in Multilayer Networks. Case of Scientific Collaboration Networks

      • Gali-Ketema Mbogo, Alexander Visheratin, Stepan Rakitin
      Pages 117-126

    5. Evolutionary Community Mining for Link Prediction in Dynamic Networks

      • Nazim Choudhury, Shahadat Uddin
      Pages 127-138

    6. Rank Aggregation for Course Sequence Discovery

      • Mihai Cucuringu, Charles Z. Marshak, Dillon Montag, Puck Rombach
      Pages 139-150

  4. Community Structure

    1. Front Matter

      Pages 151-151
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    2. Community-Based Feature Selection for Credit Card Default Prediction

      • Qiucheng Wang, Yanmei Hu, Jun Li
      Pages 153-165

    3. Tracking Bitcoin Users Activity Using Community Detection on a Network of Weak Signals

      • Cazabet Remy, Baccour Rym, Latapy Matthieu
      Pages 166-177

    4. Vertex Deduplication Based on String Similarity and Community Membership

      • Ryan McConville, Weiru Liu, Jun Hong
      Pages 178-189

    5. Motif-Based Community Detection in Multiplex Networks

      • Clara Pizzuti, Annalisa Socievole
      Pages 190-201
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Other volumes

  1. Complex Networks & Their Applications VI

Editors and Affiliations

  • University of Lyon 2, Lyon, France

    Chantal Cherifi

  • University of Burgundy, Dijon, France

    Hocine Cherifi

  • École Normale Supérieure de Lyon, Lyon, France

    Márton Karsai

  • University College London, London, United Kingdom

    Mirco Musolesi

About the editors


Bibliographic Information

  • Book Title: Complex Networks & Their Applications VI

  • Book Subtitle: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)

  • Editors: Chantal Cherifi, Hocine Cherifi, Márton Karsai, Mirco Musolesi

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-72150-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-72149-1Published: 27 November 2017

  • Softcover ISBN: 978-3-319-89149-1Published: 07 September 2018

  • eBook ISBN: 978-3-319-72150-7Published: 24 November 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXV, 1288

  • Number of Illustrations: 66 b/w illustrations, 358 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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