Description
Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics range from analyzing mathematical properties of network-based methods to applying them to application areas. By covering this broad range of topics, the book aims to fill a gap in the contemporary literature in disciplines such as physics, applied mathematics and information sciences.
Table of Contents
Table of Contents
Chapter 1: The Spread of Strategies Predicted by Artificial Intelligence in Networks
Chunyan Zhang, Nankai University, China
Chapter 2: The Spread of Multiple Strategies in the Complex Networks
Jenlei Zhang, Nankai University, China
Chapter 3: The epidemic spreading processes in complex networks, Chengyi Xia, Tianjin University of Technology, China
Chapter 4: Measurements for Investigating complex networks
Z. Chen; Y. Shi; M. Dehmer; Nankai University, China, Austria
Chapter 5: Overview of Social Media Content and Network Analysis
Mohammed Ali Al-Garadi, University of Malaya, Kuala Lumpur, Malaysia
Chapter 6: Analysis of Critical Infrastructure Network
D. Rehak, P. Senovsky, M. Hromada; VSB – Technical University of Ostrava, Czech Republic
Chapter 7: Evolving Networks and their Vulnerabilities,
Abbe Mowshowitz, Valia Mitsou, Graham Bent
Chapter 8: Review of structures and dynamics of economic complex networks: Large scale payment network of Estonia
Stephanie Rendón de la Torre, Tallinn University of Technology, Estonia
Chapter 9: Predicting Macroeconomic Variables using Financial Networks Properties
Petre Caraiani, Institute for Economic Forecasting, Romanian Academy, Romania
Chapter 10: Anomaly Detection in Complex Networks
Yaser Yasami, Department of Computer Engineering, Payame Noor University (PNU), Tehran, Iran
Chapter 11: Finding Justice through Network Analysis
Radboud Winkels, PPLE College Amsterdam, Holland
