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dc.contributor.authorHighfield, Tim
dc.contributor.authorKirchhoff, L.
dc.contributor.authorNicolai, T.
dc.date.accessioned2017-01-30T12:12:22Z
dc.date.available2017-01-30T12:12:22Z
dc.date.created2015-12-10T04:26:07Z
dc.date.issued2011
dc.identifier.citationHighfield, T. and Kirchhoff, L. and Nicolai, T. 2011. Challenges of tracking topical discussion networks online. Social Science Computer Review. 29 (3): pp. 340-353.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19187
dc.identifier.doi10.1177/0894439310382514
dc.description.abstract

Attempts to map online networks, representing relationships between people and sites, have covered sites including Facebook, Twitter, and blogs. However, the predominant approach of static network visualization, treating months of data as a single case rather than depicting changes over time or between topics, remains a flawed process. As different events and themes provoke varying interactions and conversations, it is proposed that case-by-case analysis would aid studies of online social networks by further examining the dynamics of links and information flows. This study uses hyperlink analysis of a population of French political blogs to compare connections between sites from January to August 2009. Themes discussed in this period were identified for subsequent analysis of topic-oriented networks. By comparing static blogrolls with topical citations within posts, this research addresses challenges and methods in mapping online networks, providing new information on temporal aspects of linking behaviors and information flows within these systems. © The Author(s) 2011.

dc.titleChallenges of tracking topical discussion networks online
dc.typeJournal Article
dcterms.source.volume29
dcterms.source.number3
dcterms.source.startPage340
dcterms.source.endPage353
dcterms.source.issn0894-4393
dcterms.source.titleSocial Science Computer Review
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Humanities


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