A novel approach for social behavior analysis of the blogosphere

Reza Zafarani, Mohammad Amin Jashki, Hamidreza Baghi, Ali A. Ghorbani

Research output: Chapter in Book/Entry/PoemConference contribution

8 Scopus citations

Abstract

The web, as a real mass medium, has become an invaluable data source for Information Extraction and Retrieval systems. Digital authoring is a relatively new style of communication, usually facilitated by computer networks and the Internet. We believe that the behavior of the people in cyberspace can be a representative of the real social behaviors and that this data can be employed to analyze the behavior of a society. In this paper we have used blogs as the main representative of this digital data. A system of blog analyzing, named Blogizer, has been designed to analyze these blogs. The system employs two specific measurements to determine the level of citizen engagement. The detailed analysis and the proof of concept case study provides promising results. Based on the obtained results, more than 70.52% of the topic assignments and 58.10% of the significance assignments were ascribed successfully.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Intelligence - 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, Proceedings
Pages356-367
Number of pages12
DOIs
StatePublished - 2008
Externally publishedYes
Event21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008 - Windsor, Canada
Duration: May 28 2008May 30 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5032 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008
Country/TerritoryCanada
CityWindsor
Period5/28/085/30/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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