Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches

✍ Scribed by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 246
• Series: Springer Proceedings in Complexity
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-x
Front Matter ....Pages 1-1
An Empirical Study of the Effect of Noise Models on Centrality Metrics (Soumya Sarkar, Abhishek Karn, Animesh Mukherjee, Sanjukta Bhowmick)....Pages 3-21
Emergence and Evolution of Hierarchical Structure in Complex Systems (Payam Siyari, Bistra Dilkina, Constantine Dovrolis)....Pages 23-62
Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective (Mary Warner, Bharat Sharma, Udit Bhatia, Auroop Ganguly)....Pages 63-79
Front Matter ....Pages 81-81
Automatic Discovery of Families of Network Generative Processes (Telmo Menezes, Camille Roth)....Pages 83-111
Modeling User Dynamics in Collaboration Websites (Patrick Kasper, Philipp Koncar, Simon Walk, Tiago Santos, Matthias Wölbitsch, Markus Strohmaier et al.)....Pages 113-133
Interaction Prediction Problems in Link Streams (Thibaud Arnoux, Lionel Tabourier, Matthieu Latapy)....Pages 135-150
The Network Source Location Problem in the Context of Foodborne Disease Outbreaks (Abigail L. Horn, Hanno Friedrich)....Pages 151-165
Front Matter ....Pages 167-167
Network Representation Learning Using Local Sharing and Distributed Matrix Factorization (LSDMF) (Pradumn Kumar Pandey)....Pages 169-181
The Anatomy of Reddit: An Overview of Academic Research (Alexey N. Medvedev, Renaud Lambiotte, Jean-Charles Delvenne)....Pages 183-204
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
Back Matter ....Pages 237-244

✦ Subjects

Physics; Data-driven Science, Modeling and Theory Building; Complexity; Computational Social Sciences; Complex Systems