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Dynamics On and Of Complex Networks III

Machine Learning and Statistical Physics Approaches

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Fakhteh Ghanbarnejad

    1. Institute of Theoretical Physics, Technical University of Berlin, Berlin, Germany

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  2. Rishiraj Saha Roy

    1. Max Planck Institute for Informatics, Saarbrücken, Germany

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  3. Fariba Karimi

    1. Department of Computational Social Science, GESIS, Leibniz Institute for the Social Science, Köln, Germany

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  4. Jean-Charles Delvenne

    1. Université Catholique de Louvain, Louvain-la-Neuve, Belgium

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  5. Bivas Mitra

    1. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

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  • Presents views and results from leading experts in network science
  • Contains many illustrations, tables, as well as pseudocode samples

Part of the book series: Springer Proceedings in Complexity (SPCOM)

Included in the following conference series:

Conference proceedings info: DOOCN 2017.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-x
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  2. Network Structure

    1. Front Matter

      Pages 1-1
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    2. An Empirical Study of the Effect of Noise Models on Centrality Metrics

      • Soumya Sarkar, Abhishek Karn, Animesh Mukherjee, Sanjukta Bhowmick
      Pages 3-21

    3. Emergence and Evolution of Hierarchical Structure in Complex Systems

      • Payam Siyari, Bistra Dilkina, Constantine Dovrolis
      Pages 23-62

    4. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective

      • Mary Warner, Bharat Sharma, Udit Bhatia, Auroop Ganguly
      Pages 63-79

  3. Network Dynamics

    1. Front Matter

      Pages 81-81
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    2. Automatic Discovery of Families of Network Generative Processes

      • Telmo Menezes, Camille Roth
      Pages 83-111

    3. Modeling User Dynamics in Collaboration Websites

      • Patrick Kasper, Philipp Koncar, Simon Walk, Tiago Santos, Matthias Wölbitsch, Markus Strohmaier et al.
      Pages 113-133

    4. Interaction Prediction Problems in Link Streams

      • Thibaud Arnoux, Lionel Tabourier, Matthieu Latapy
      Pages 135-150

    5. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks

      • Abigail L. Horn, Hanno Friedrich
      Pages 151-165

  4. Theoretical Models and Applications

    1. Front Matter

      Pages 167-167
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    2. Network Representation Learning Using Local Sharing and Distributed Matrix Factorization (LSDMF)

      • Pradumn Kumar Pandey
      Pages 169-181

    3. The Anatomy of Reddit: An Overview of Academic Research

      • Alexey N. Medvedev, Renaud Lambiotte, Jean-Charles Delvenne
      Pages 183-204

    4. Learning Information Dynamics in Online Social Media: A Temporal Point Process Perspective

      • Bidisha Samanta, Avirup Saha, Niloy Ganguly, Sourangshu Bhattacharya, Abir De
      Pages 205-236

  5. Back Matter

    Pages 237-244
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  1. Dynamics On and Of Complex Networks III

Keywords

About this book

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes.


The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.

Editors and Affiliations

  • Institute of Theoretical Physics, Technical University of Berlin, Berlin, Germany

    Fakhteh Ghanbarnejad

  • Max Planck Institute for Informatics, Saarbrücken, Germany

    Rishiraj Saha Roy

  • Department of Computational Social Science, GESIS, Leibniz Institute for the Social Science, Köln, Germany

    Fariba Karimi

  • Université Catholique de Louvain, Louvain-la-Neuve, Belgium

    Jean-Charles Delvenne

  • Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Bivas Mitra

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