#tag: Meme or event?

Dimitrios Kotsakos, Panos Sakkos, Ioannis Katakis, Dimitrios Gunopulos

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

5 Citations (Scopus)

Abstract

Users in social networks use hashtags for various reasons, some of them being serving search purposes, gaining attention or popularity or starting new conversation - thus, creating viral memes. In this paper we address the problem of classifying these hashtags in different categories, based on whether they represent a real life event or a social network generated meme. We compute a set of language-agnostic features to aid the classification of hashtags into events and memes and we provide an extensive study of the behavior that characterizes memes and events. We focus on Twitter social network, we apply our methods on a big dataset and reveal interesting characteristics of the two classes of hashtags.

Original languageEnglish
Title of host publicationASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
EditorsMartin Ester, Guandong Xu, Xindong Wu, Xindong Wu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-394
Number of pages4
ISBN (Electronic)9781479958771
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China
Duration: 17 Aug 201420 Aug 2014

Conference

Conference2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
Country/TerritoryChina
CityBeijing
Period17/08/1420/08/14

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