Online Social Networks: Perspectives, Applications and Developments


Chee Wei Tan (Editor)
College of Science and Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China

Series: Computer Science, Technology and Applications
BISAC: COM014000

This book consists of contributions from preeminent experts in the field of network science, signal processing and machine learning, focusing on the theoretical and algorithmic aspects of online social networking technologies. As online social networks provide an important and diverse medium for spreading and disseminating various types of information, this book offers new perspectives and applications of these large-scale networks in engineering cyber intelligence.

The book introduces and explains how to design predictive analytics and computational tools, but also presents insights into forward-engineering new applications such as community detection, rumor source detection and large-scale online learning. Mathematical tools based on statistical inference, graph theory and machine learning as well as real-world data analysis are provided to help readers understand the advances in cyber intelligence. As such it is a valuable resource for graduate students and researchers in understanding the developments of online social networking technologies.
(Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. Generalized Modularity Embedding: A General Framework for Network Embedding
(Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang, Duan-Shin Lee and Ping-En Lu, Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.)

Chapter 2. Epidemic Source Detection in Complex Networks
(Roxana Alexandru and Pier Luigi Dragotti, Imperial College London, London, England)

Chapter 3. Subgraph Network for Expanding Structural Feature Space with Application to Graph Data Mining
(Jinhuan Wang, Kunfeng Qiu, Yalu Shan, Qi Xuan and Guanrong Chen, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, and others)

Chapter 4. Online Information Spreading and Source Identification
(Feng Ji, Wenchang Tang, Jielong Yang and Wee Peng Tay, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore)

Chapter 5. The Pagerank Bipartite Graph Ranking: Online Chat Group Recommendation
(Man Fai Wong, Ching Nam Hang and Chee Wei Tan, Department of Computer Science, City University of Hong Kong, Hong Kong)

Chapter 6. Parallel Counting of Subgraphs in Large Graphs: Pruning and Hierarchical Clustering Algorithms
(Ching Nam Hang, Pei-Duo Yu and Chee Wei Tan, Department of Computer Science, City University of Hong Kong, Hong Kong)

Chapter 7. Social Learning Network and Its Applications in Large Scale Online Education through Chatbot
(Lin Ling and Chee Wei Tan, Department of Computer Science, City University of Hong Kong, Hong Kong)

Chapter 8. Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms
(Pei-Duo Yu, Chee Wei Tan and Hung-Lin Fu, City University of Hong Kong, Hong Kong)


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