Blog site profiling through influence style detection

Luke Kien Weng Tan*, Jin Cheon Na, Yin Leng Theng, Kuiyu Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we characterize blog site influence by detecting their engagement style, persuasion style, and persona. Specifically, we propose comparative text similarity methods to measure the influence styles among linked blogs, and use sentiment analysis to detect the persona of a blog site. Two influential blog sites were analyzed in our study. In contrast to previous studies based on a limited influence scope, which indicated similar influence-level for both blog sites, our proposed approach gave in-depth profiles that differentiated the two sites in terms of their influence styles.

Original languageEnglish
Title of host publicationThe Outreach of Digital Libraries
Subtitle of host publicationA Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings
Pages329-332
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012 - Taipei, Taiwan, Province of China
Duration: Nov 12 2012Nov 15 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7634 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012
Country/TerritoryTaiwan, Province of China
CityTaipei
Period11/12/1211/15/12

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • blog influence profiling
  • Influence detection
  • sentiment analysis

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