Modern and Interdisciplinary Problems in Network Science : A Translational Research Perspective /
Modern and Interdisciplinary Problems in Network Science : A Translational Research Perspective /
edited by Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib and Yongtang Shi.
- First edition.
- 1 online resource (300 pages) : 220 illustrations, text file, PDF
Includes bibliographical references and index.
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 Rendn 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
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.
9781351237307
Complex networks.
Dynamics using networks.
Graphical models.
Machine learning.
Network analysis (Planning)
Electronic books.
Includes bibliographical references and index.
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 Rendn 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
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.
9781351237307
Complex networks.
Dynamics using networks.
Graphical models.
Machine learning.
Network analysis (Planning)
Electronic books.