Publication Type : Conference Paper
Publisher : ACM Conference on Hypertext and Social Media (HT),
Source : Proc. 27th ACM Conference on Hypertext and Social Media (HT)
Url : https://dl.acm.org/doi/abs/10.1145/2914586.2914613
Campus : Coimbatore
Year : 2016
Abstract : In this paper, we present a new algorithm to identify non-overlapping like-minded communities in a social network and compare its performance with Girvan-Newman algorithm, Lovain method and some well-known hierarchical clustering algorithms on Twitter and Filmtipset datasets.
Cite this Research Publication : T. S. Deepak, H. Adhya, S. Kejriwal, B. Gullapalli and S. Shannigrahi. A New Hierarchical Clustering Algorithm to Identify Non-overlapping Like-minded Communities. Proc. 27th ACM Conference on Hypertext and Social Media (HT), 319-321, 2016.