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Erschienen in: Social Network Analysis and Mining 2/2013

01.06.2013 | Original Article

A social network analysis and mining methodology for the monitoring of specific domains in the blogosphere

verfasst von: Darko Obradović, Stephan Baumann, Andreas Dengel

Erschienen in: Social Network Analysis and Mining | Ausgabe 2/2013

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Abstract

Whenever the question arises of how a product, a personality, a technology or some other specific entity is perceived by the public, the blogosphere is a very good source of information. This is what usually interests business users from marketing or PR. Modern search services offer a rich set of tools to monitor or track the blogosphere as a whole, but the analysis with respect to a certain domain is very limited. In this paper, we lay some foundations to aggregate blog articles of a specific domain from multiple search services, to analyze the social authorities of articles and blogs, and to monitor the attention articles of the domain receive over time. These are the building blocks required for a monitoring application that presents users the topics and trends in a specific domain along with the currently most interesting articles. This methodology has been instantiated and combined with additional textual analysis methods to create highly automated business intelligence application in the context of the Social Media Miner project.

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Metadaten
Titel
A social network analysis and mining methodology for the monitoring of specific domains in the blogosphere
verfasst von
Darko Obradović
Stephan Baumann
Andreas Dengel
Publikationsdatum
01.06.2013
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 2/2013
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-012-0075-7

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