An empirical investigation of networks in the blogosphere

Uldis Bojars; Andreas Harth; Sheila Kinsella; Srinivas Raghavendra

An empirical investigation of networks in the blogosphere

Uldis Bojars
, Andreas Harth
, Sheila Kinsella
, Srinivas Raghavendra

University of Galway

Research output: Contribution to conference › Paper › peer-review

Abstract

We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totalling over 400M statements in RDF. We continue by applying well- known network analysis algorithm to parts of the derived net- work. Our experiments show that links analysis algorithms benefit from input in a common, structured data model.

Original language	English
Publication status	Published - 2007
Externally published	Yes
Event	2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States Duration: 26 Mar 2007 → 28 Mar 2007

Conference

Conference	2007 International Conference on Weblogs and Social Media, ICWSM 2007
Country/Territory	United States
City	Boulder, CO
Period	26/03/07 → 28/03/07

Cite this

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abstract = "We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totalling over 400M statements in RDF. We continue by applying well- known network analysis algorithm to parts of the derived net- work. Our experiments show that links analysis algorithms benefit from input in a common, structured data model.",

author = "Uldis Bojars and Andreas Harth and Sheila Kinsella and Srinivas Raghavendra",

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T1 - An empirical investigation of networks in the blogosphere

AU - Bojars, Uldis

AU - Harth, Andreas

AU - Kinsella, Sheila

AU - Raghavendra, Srinivas

PY - 2007

Y1 - 2007

N2 - We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totalling over 400M statements in RDF. We continue by applying well- known network analysis algorithm to parts of the derived net- work. Our experiments show that links analysis algorithms benefit from input in a common, structured data model.

AB - We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totalling over 400M statements in RDF. We continue by applying well- known network analysis algorithm to parts of the derived net- work. Our experiments show that links analysis algorithms benefit from input in a common, structured data model.

UR - https://www.scopus.com/pages/publications/84893402434

M3 - Paper

AN - SCOPUS:84893402434

T2 - 2007 International Conference on Weblogs and Social Media, ICWSM 2007

Y2 - 26 March 2007 through 28 March 2007

ER -

An empirical investigation of networks in the blogosphere

Abstract

Conference

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