A survey on real-time event detection from the Twitter data stream

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The proliferation of social networking services has resulted in a rapid growth of their user base, spanning across the world. The collective information generated from these online platforms is overwhelming, in terms of both the amount of content produced every moment and the diversity of topics discussed. The real-time nature of the information produced by users has prompted researchers to analyse this content, in order to gain timely insight into the current state of affairs. Specifically, the microblogging service Twitter has been a recent focus of researchers to gather information on events occurring in real time. This article presents a survey of a wide variety of event detection methods applied to streaming Twitter data, classifying them according to shared common traits, and then discusses different aspects of the subtasks and challenges involved in event detection. We believe this survey will act as a guide and starting point for aspiring researchers to gain a structured view on state-of-the-art real-time event detection and spur further research in this direction.
LanguageEnglish
Pages443-463
Number of pages21
JournalJournal of Information Science
Volume44
Issue number4
Early online date17 Mar 2017
DOIs
Publication statusPublished - 1 Aug 2018

Fingerprint

twitter
event
proliferation
networking
time

Keywords

  • event detection
  • microblog
  • social media
  • survey
  • Twitter

Cite this

@article{f0f94056b0034d8f9a3dc01259e8c267,
title = "A survey on real-time event detection from the Twitter data stream",
abstract = "The proliferation of social networking services has resulted in a rapid growth of their user base, spanning across the world. The collective information generated from these online platforms is overwhelming, in terms of both the amount of content produced every moment and the diversity of topics discussed. The real-time nature of the information produced by users has prompted researchers to analyse this content, in order to gain timely insight into the current state of affairs. Specifically, the microblogging service Twitter has been a recent focus of researchers to gather information on events occurring in real time. This article presents a survey of a wide variety of event detection methods applied to streaming Twitter data, classifying them according to shared common traits, and then discusses different aspects of the subtasks and challenges involved in event detection. We believe this survey will act as a guide and starting point for aspiring researchers to gain a structured view on state-of-the-art real-time event detection and spur further research in this direction.",
keywords = "event detection, microblog, social media, survey, Twitter",
author = "Mahmud Hasan and Orgun, {Mehmet A.} and Rolf Schwitter",
year = "2018",
month = "8",
day = "1",
doi = "10.1177/0165551517698564",
language = "English",
volume = "44",
pages = "443--463",
journal = "Journal of Information Science",
issn = "0165-5515",
publisher = "SAGE Publications",
number = "4",

}

A survey on real-time event detection from the Twitter data stream. / Hasan, Mahmud; Orgun, Mehmet A.; Schwitter, Rolf.

In: Journal of Information Science, Vol. 44, No. 4, 01.08.2018, p. 443-463.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - A survey on real-time event detection from the Twitter data stream

AU - Hasan, Mahmud

AU - Orgun, Mehmet A.

AU - Schwitter, Rolf

PY - 2018/8/1

Y1 - 2018/8/1

N2 - The proliferation of social networking services has resulted in a rapid growth of their user base, spanning across the world. The collective information generated from these online platforms is overwhelming, in terms of both the amount of content produced every moment and the diversity of topics discussed. The real-time nature of the information produced by users has prompted researchers to analyse this content, in order to gain timely insight into the current state of affairs. Specifically, the microblogging service Twitter has been a recent focus of researchers to gather information on events occurring in real time. This article presents a survey of a wide variety of event detection methods applied to streaming Twitter data, classifying them according to shared common traits, and then discusses different aspects of the subtasks and challenges involved in event detection. We believe this survey will act as a guide and starting point for aspiring researchers to gain a structured view on state-of-the-art real-time event detection and spur further research in this direction.

AB - The proliferation of social networking services has resulted in a rapid growth of their user base, spanning across the world. The collective information generated from these online platforms is overwhelming, in terms of both the amount of content produced every moment and the diversity of topics discussed. The real-time nature of the information produced by users has prompted researchers to analyse this content, in order to gain timely insight into the current state of affairs. Specifically, the microblogging service Twitter has been a recent focus of researchers to gather information on events occurring in real time. This article presents a survey of a wide variety of event detection methods applied to streaming Twitter data, classifying them according to shared common traits, and then discusses different aspects of the subtasks and challenges involved in event detection. We believe this survey will act as a guide and starting point for aspiring researchers to gain a structured view on state-of-the-art real-time event detection and spur further research in this direction.

KW - event detection

KW - microblog

KW - social media

KW - survey

KW - Twitter

UR - http://www.scopus.com/inward/record.url?scp=85030123275&partnerID=8YFLogxK

U2 - 10.1177/0165551517698564

DO - 10.1177/0165551517698564

M3 - Article

VL - 44

SP - 443

EP - 463

JO - Journal of Information Science

T2 - Journal of Information Science

JF - Journal of Information Science

SN - 0165-5515

IS - 4

ER -