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World Wide Web / Real-time web / Text messaging / Twitter / Websites / Cluster analysis / Microblogging / Internet privacy / England riots / Statistics / Social media / Technology


Identifying and Characterizing User Communities on Twitter during Crisis Events Aditi Gupta∗ , Anupam Joshi† , Ponnurangam Kumaraguru∗ ∗ Indraprastha Institute of Information Technology, Delhi, India
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Document Date: 2012-08-27 02:34:32


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File Size: 167,61 KB

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City

washington / Longueville / london / birmingham / new york / /

Company

Twitter / Yahoo / /

Country

United States / Bahamas / United Kingdom / England / /

Currency

USD / /

/

Event

Natural Disaster / Man-Made Disaster / /

Facility

Indraprastha Institute of Information Technology / /

IndustryTerm

prominent online social media / spectral clustering algorithm / social media / social media content / online social media / mining / social networks / computing / /

Organization

University of Maryland Baltimore County / idf / Indraprastha Institute of Information Technology / /

Person

Virginia Earthquake / Angelina Jolie / Anupam Joshi / /

Position

general users / rt / General / /

Product

Streaming / /

ProgrammingLanguage

Java / /

ProvinceOrState

Piedmont / Hawaii / /

Technology

Java / Information Technology / API / spectral clustering algorithm / Data Mining / /

URL

http /

SocialTag