Chapter 17
Network Clustering
Srinivasan Parthasarathy
The Ohio State UniversityColumbus, OHsrini@cse.ohio-state.edu
S M Faisal
The Ohio State UniversityColumbus, OHfaisal@cse.ohio-state.edu
17.1 Introduction
Networks are ubiquitous—ranging from network of computers in the World Wide Web, to connections between users on social networks, from Protein–Protein Interaction (PPI) networks to citation network among authors, from follower–followee network (on Twitter and similar networks) to dependency structure between constituent tasks of a large program. Recent advances in technology have resulted in a diverse range of domains generating network data. Some example domains range from social [120, 169] to biological [81] from scientific [37, 119] to ...
Get Data Clustering now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.