An author-reader influence model for detecting topic-based influencers in social media

Jonathan Herzig, Yosi Mass, Haggai Roitman

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


This work addresses the problem of detecting topic-based influencers in social media. For that end, we devise a novel behavioral model of authors and readers, where authors try to influence readers by generating "attractive" content, which is both relevant and unique, and readers can become authors themselves by further citing or referencing content made by other authors. The model is realized by means of a content-based citation graph, where nodes represent authors with their generated content and edges represent reader-to-author citations. To find the top influencers for a given topic, we first profile the content of authors (nodes) and citations (edges) and derive topic-based similarity scores to the topic, which further model the unique and relevant topic interests of users. We then present three different extensions of the Topic-Sensitive PageRank algorithm that exploit the similarity scores to find topic-based influencers. We evaluate our solution on a large real-world dataset that was gathered from Twitter by measuring information diffusion in social networks. We show that, overall, our methods outperform several state-of-the-art methods. This work further serves as an evidence that the topic uniqueness aspect in user interests within social media should be considered for the influencers detection task; this is in comparison to previous works that have solely focused on detecting topic-based influencers using the combination of link structure and topic-relevance.

Original languageEnglish
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Print)9781450329545
StatePublished - 2014
Externally publishedYes
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: 1 Sep 20144 Sep 2014

Publication series

NameHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media


Conference25th ACM Conference on Hypertext and Social Media, HT 2014


  • social media
  • topic-based influencers

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