Principles of Social Networking

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 International Symposium Frontiers of Research in Speechand Music (FRSM 2020). He is also an editor of multi-authored book, title "Health Informatics: A Computational Perspective in Healthcare", in the book series of Studies in Computational Intelligence, Springer.



Ripon Patgiri has received his Bachelor Degree from Institution of Electronics and Telecommunication Engineers, New Delhi in 2009. He has received his M.Tech. degree from Indian Institute of Technology Guwahati in 2012. He has received his Doctor of Philosophy from National Institute of Technology Silchar in 2019. After M.Tech. degree, he has joined as Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar in 2013. He has published numerous papers in reputed journals, conferences, and books. His research interests include distributed systems, file systems, Hadoop and MapReduce, big data, bloom filter, storage systems, and data-intensive computing. He is a senior member of IEEE. He is a member of ACM