Expertise in social networks: How do experts differ from other users?

Benjamin D. Horne, Dorit Nevo, Jesse Freitas, Heng Ji, Sibel Adali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Expertise location is a difficult task, with expertise often being implied and liable to change. In this paper we propose a heuristic-based approach for automated identification of expertise on Twitter. We collect tweets from experts and nonexperts in different domains and compute different types of features based on the heuristics regarding properties of the messages written and rewteeted by the experts. We show that these heuristics provide us with interesting insights regarding how experts differ from other user groups which can help guide future studies in this areas and algorithms for expertise location.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PublisherAAAI Press
Pages583-586
Number of pages4
ISBN (Electronic)9781577357582
StatePublished - 2016
Externally publishedYes
Event10th International Conference on Web and Social Media, ICWSM 2016 - Cologne, Germany
Duration: May 17 2016May 20 2016

Publication series

NameProceedings of the 10th International Conference on Web and Social Media, ICWSM 2016

Other

Other10th International Conference on Web and Social Media, ICWSM 2016
CountryGermany
CityCologne
Period5/17/165/20/16

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this