Research Article
SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network
@ARTICLE{10.4108/eai.13-7-2018.163985, author={Abdul Samad and Mamoona Qadir and Ishrat Nawaz and Muhammad Arshad Islam and Muhammad Aleem}, title={SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={7}, number={23}, publisher={EAI}, journal_a={INIS}, year={2020}, month={4}, keywords={Centrality, Social Network Analysis, Ranking, Influential User}, doi={10.4108/eai.13-7-2018.163985} }- Abdul Samad
Mamoona Qadir
Ishrat Nawaz
Muhammad Arshad Islam
Muhammad Aleem
Year: 2020
SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network
INIS
EAI
DOI: 10.4108/eai.13-7-2018.163985
Abstract
Majority of researcher are attracted by the social network analysis due to the rush of people towards social network. Along with many problems, social network analysis is facing an interesting problem that is ranking of users in social network which is gaining more attention due to the increasing number of social users. Measuring centrality of nodes in a social graph, have been important issue in social network analysis. Lot of centrality methods have been proposed in this regard. In this paper, hop based centrality measures called SAM is purposed. To investigate the measure, we applied on various dataset. In comparisons, on all these social graphs, we obtain better results than other centrality measures (i.e., Degree, PageRank, Betweeness and Closeness) using SIR model.
Copyright © 2020 Abdul Samad, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
