Influence maximization in large social networks: Heuristics, models and parameters

N. Sumith, B. Annappa, Swapan Bhattacharya

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Online social networks play a major role not only in socio psychological front, but also in the economic aspect. The way social network serves as a platform of information spread, has attracted a wide range of applications at its doorstep. In recent years, lot of efforts are directed to use the phenomenon of vast spread of information, via social networks, in various applications, ranging from poll analysis, product marketing, identifying influential users and so on. One such application that has gained research attention is the influence maximization problem. The influence maximization problem aims to fetch the top influential users in the social networks. The aim of the paper is to provide a comprehensive analysis on the state of art approaches towards identifying influential users. In this review, we discuss various challenges and approaches to identify influential users in online social networks. This review concludes with future research direction, helping researchers to bring possible improvements to the existing body of work.

Original languageEnglish
Pages (from-to)777-790
Number of pages14
JournalFuture Generation Computer Systems
Volume89
DOIs
Publication statusPublished - 12-2018

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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