Twitris: A System for Collective Social Intelligence

TitleTwitris: A System for Collective Social Intelligence
Publication TypeBook Chapter
Year of Publication2014
AuthorsAmit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang
EditorReda Alhajj, Jon Rokne
Book TitleEncyclopedia of Social Network Analysis and Mining
Edition1
ChapterTwitris: A System for Collective Social Intelligence
Pagination2240-2253
PublisherSpringer-Verlag New York
CityNew York
ISSN Number978-1-4614-6171-5
KeywordsCitizen sensing, Community evolution, Event analysis on social media, Interaction Network, People-Content-Network Analysis, Real-time social media analysis, Semantic Perception, semantic social web, Sentiment-Emotion-Intent Analysis, Social Computing, Social data analysis, Social Media, social media analysis, Spatio-temporal-thematic analysis, twitris, Web 3.0
Abstract

Twitris, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties and focusing on multi-dimensional analysis of sptatio-temporal-thematic, people-content-network and sentiment-emotion-subjectivity facets. Twitris also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the system's integration and analysis abilities. It has applications for studying and analyzing social sensing and perception of a broad variety of events: politics and elections, social movements and uprisings, crisis and disasters, entertainment, environment, decision making and coordination, brand management, campaign effectiveness, etc.

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