Complex Networks & Their Applications VI

1. Front Matter

   Pages i-xxv

   PDF

2. Network Measures

   1. Front Matter

      Pages 1-1

      PDF

   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

      PDF

   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

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.

• Complex Networks
• Complex Networks 2017
• Network Models
• Network Dynamics
• Network Analysis

• 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

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