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J11

Abstract:

Web logs and other platforms used to organize a social life online have achieved an enormous success over the last few years. Opposed to applications directly designed for building up and visualizing social networks, web logs are comprised of mostly unstructured text data, that comes with some meta data, such as the author of the text, its publication date or the URL it is available under. In this paper, we propose a way, how these networks may be inferred not by the available meta data, but by pure natural language analysis of the text content, allowing inference of these networks without any meta data at hand. We discuss results of first experiments and outline possible enhancements and other ways to improve prediction of social networks based solely on content analysis.

Type: Inproceedings

Author: Patrick Jähnichen
Title: Predicting Social Networks in Weblogs
Booktitle: 11th International Conference on Innovative Internet Community Systems
Year: 2011
Editor:Gerald Eichler and Axel Küpper and Volkmar Schau and Hacène Fouchal and Herwig Unger
Address:
@INPROCEEDINGS{J11,
AUTHOR = {Patrick Jähnichen},
TITLE = {Predicting Social Networks in Weblogs},
BOOKTITLE = {11th International Conference on Innovative Internet Community Systems},
YEAR = {2011},
EDITOR = {Gerald Eichler and Axel Küpper and Volkmar Schau and Hacène Fouchal and Herwig Unger}
}