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From Tweet to Graph: Social Network Analysis for Semantic Information Extraction

Abascal-Mena, Rocio and Lema, Rose and Sèdes, Florence From Tweet to Graph: Social Network Analysis for Semantic Information Extraction. (2014) In: IEEE International Conference on Research Challenges in Information Science - RCIS 2014, 28 May 2014 - 30 May 2014 (Marrakesh, Morocco).

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Official URL: http://dx.doi.org/10.1109/RCIS.2014.6861047

Abstract

This paper represents a study along the cutting edge of the current analysis of online social network in relation with the contents communicated among users. Twitter data is carefully selected around a fixed hash-tag in order to study the specified content in relation with other contents that users bring to connection. A separate network of hash-tags related (in tweets) is constructed for different days; the networks are analyzed within advanced Gephi package, providing several measures -degree, betweenness centrality, communities, as well as the longest path, by which the evolution of communication around specified concepts is quantified. Our study is absolutely in the current trend of analysis of online social networks that, going beyond mere topology, reveals relevant linguistic and social categories and their dynamics.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01147320
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidad Autónoma Metropolitana - UAM (MEXICO)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:23 Apr 2015 07:18

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