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Measuring user influence in a co-reviewer network

  • Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Identifying influential people in social networks is considered an important task in marketing. These people can be employed by merchants to share reviews for their products in order to ensure that a product is exposed to a large number of people at a very low price. This technique is one of the viral marketing techniques. In this paper, we use a co-purchase network to identify influential users by considering both centrality measures as well as users' reviewing records such as the number of reviews shared, the number of votes, etc. Thus, by relying on these two considerations, we are able to extract influential users as well as identifying and determining their characteristics and how they differ from regular users. Also, we are able to conclude that most influential measures do not correlate. As a result, choosing the right measure is critical.

Original languageEnglish
Title of host publication2018 9th International Conference on Information and Communication Systems, ICICS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-232
Number of pages6
ISBN (Electronic)9781538643662
DOIs
StatePublished - 4 May 2018
Externally publishedYes
Event9th International Conference on Information and Communication Systems, ICICS 2018 - Irbid, Jordan
Duration: 3 Apr 20185 Apr 2018

Publication series

Name2018 9th International Conference on Information and Communication Systems, ICICS 2018
Volume2018-January

Conference

Conference9th International Conference on Information and Communication Systems, ICICS 2018
Country/TerritoryJordan
CityIrbid
Period3/04/185/04/18

Keywords

  • co-purchase network
  • co-reviewer network
  • influential users
  • network analysis
  • viral marketing

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