This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.
Centrality Measures : A Tool to Identify Key Actors in Social Networks.- Network Centrality Measures role and importance in Social Networks.- Temporal Network Motifs: Structure roles, Computational issues and its Applications.- Link Prediction on Social Networks based on Centrality Measures.
Anupam Biswas received his Ph.D. degree in computer science and engineering from Indian Institute of Technology (BHU), Varanasi, India. He has received his M. Tech. and B. E. Degree in computer science and engineering from Nehru National Institute of Technology Allahabad, Prayagraj, India and Jorhat Engineering College, Jorhat, Assam, India respectively. He is currently working as an Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar, Assam. He has published several research papers in reputed international journals, conference and book chapters. His research interests include Social network analysis, Computational music, Machine learning, Fuzzy systems, Information retrieval, and Evolutionary computation. He has served as Program Chair of International Conference on Big Data, Machine Learning and Applications (BigDML 2019). He is serving as General Chair of 25th Il