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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
JoVE 杂志
行为学
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JoVE 杂志 行为学
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

DOI:
10.3791/58851-v

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08:53 min

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May 31, 2019

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, ,
1School of Social Sciences and Psychology,Western Sydney University, 2Institute for Sustainable Industries and Liveable Cities (ISILC),Victoria University, 3Centre for Regional Economic and Social Research,Sheffield Hallam University

Chapters

  • 00:04Title
  • 00:25Online Community Data Extraction
  • 01:42Calculation Social Media Activity Made and Received by Each Client
  • 02:46Social Network Analysis (SNA)
  • 03:55Computerized Linguistic and Regression Analyses
  • 05:44Monthly SNA Map Creation and Monthly Cumulative Social Media Group Social Media Activity Calculation
  • 06:57Results: Representative SNA and Online Community Retention Predictability Analysis
  • 08:24Conclusion

Summary

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The article describes a novel approach for analyzing dynamic online social interactions (in an online context) exemplified by a study of an online community of recovery from alcohol and drug addiction.

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Here Are The Key Keywords Extracted From The Given Text:Social Network AnalysisOnline CommunityAddiction RecoveryLinguistic AnalysisData ExtractionSocial Media ActivityPost LikesComment LikesRetention DataEdge ListNetwork RelationshipsAnonymous User IDText Analysis

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