Dynamics On and Of Complex Networks III
Springer International Publishing (Verlag)
978-3-030-14682-5 (ISBN)
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.
Part1. Network Structure.- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics.- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems.- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective.- Part2. Network Dynamics.- Chapter4. Automatic Discovery of Families of Network Generative Processes.- Chapter5. Modeling User Dynamics in Collaboration Websites.- Chapter6. The Problem of Interaction Prediction in Link Streams.- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks.- Part3. Theoretical Models and applications.- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF).- Chapter9. The Anatomy of Reddit: An Overview of Academic Research.- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective.
Erscheinungsdatum | 15.05.2019 |
---|---|
Reihe/Serie | Springer Proceedings in Complexity |
Zusatzinfo | X, 244 p. 76 illus., 68 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 541 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
Schlagworte | community detection • Complexity • Computational Social Sciences • Data-driven Science, Modeling and Theory Building • generating random networks • inferring network structure • Information Diffusion • nodes in empirical networks • nonlinear dynamics on networks |
ISBN-10 | 3-030-14682-0 / 3030146820 |
ISBN-13 | 978-3-030-14682-5 / 9783030146825 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich