Detecting events in online social networks: Definitions, trends and challenges

Nikolaos Panagiotou, Ioannis Katakis, Dimitrios Gunopulos

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

43 Citations (Scopus)

Abstract

Event detection is a research area that attracted attention during the last years due to the widespread availability of social media data. The problem of event detection has been examined in multiple social media sources like Twitter, Flickr, YouTube and Facebook. The task comprises many challenges including the processing of large volumes of data and high levels of noise. In this article, we present a wide range of event detection algorithms, architectures and evaluation methodologies. In addition, we extensively discuss on available datasets, potential applications and open research issues. The main objective is to provide a compact representation of the recent developments in the field and aid the reader in understanding the main challenges tackled so far as well as identifying interesting future research directions.

Original languageEnglish
Title of host publicationSolving Large Scale Learning Tasks
Subtitle of host publicationChallenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
EditorsStefan Michaelis, Nico Piatkowski, Marco Stolpe
PublisherSpringer Verlag
Pages42-84
Number of pages43
ISBN (Print)9783319417059
DOIs
Publication statusPublished - 1 Jan 2016
EventEuropean Conference on Machine Learning, ECML 1989 - Montpellier, France
Duration: 4 Dec 19896 Dec 1989

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9580
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Machine Learning, ECML 1989
Country/TerritoryFrance
CityMontpellier
Period4/12/896/12/89

Keywords

  • Event detection
  • Social media
  • Stream processing

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