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Towards community discovery in signed collaborative interaction networks
Abstract We propose a framework for discovery of coWe propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic modelling in order to capture agreement and opposition of contributors and analyze these multi-modal relations to map communities in the contributor base. The key steps of our approach include (i) modeling of pair wise variable-strength contributor interactions that can be both positive and negative, (ii) synthesis of a global network incorporating all pair wise interactions, and (iii) detection and analysis of community structure encoded in such networks. The global community discovery algorithm we propose outperforms existing alternatives in identifying coherent clusters according to objective optimality criteria. Analysis of the discovered community structure reveals coalitions of common interest editors who back each other in promoting some topics and collectively oppose other coalitions or single authors. We couple contributor interactions with content evolution and reveal the global picture of opposing themes within the self-regulated community base for both controversial and featured articles in Wikipedia.ersial and featured articles in Wikipedia.
Abstractsub We propose a framework for discovery of coWe propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic modelling in order to capture agreement and opposition of contributors and analyze these multi-modal relations to map communities in the contributor base. The key steps of our approach include (i) modeling of pair wise variable-strength contributor interactions that can be both positive and negative, (ii) synthesis of a global network incorporating all pair wise interactions, and (iii) detection and analysis of community structure encoded in such networks. The global community discovery algorithm we propose outperforms existing alternatives in identifying coherent clusters according to objective optimality criteria. Analysis of the discovered community structure reveals coalitions of common interest editors who back each other in promoting some topics and collectively oppose other coalitions or single authors. We couple contributor interactions with content evolution and reveal the global picture of opposing themes within the self-regulated community base for both controversial and featured articles in Wikipedia.ersial and featured articles in Wikipedia.
Bibtextype inproceedings  +
Doi 10.1109/ICDMW.2010.174  +
Has author Bogdanov P. + , Larusso N.D. + , Amit Singh +
Has extra keyword Coherent clusters + , Collaborative community + , Collaborative interaction + , Community structures + , Content evolution + , Discovery algorithm + , Global community + , Global networks + , Graph clustering + , Interaction networks + , Knowledge repository + , Multi-modal + , Optimality criteria + , Pairwise interaction + , Wikipedia + , Active networks + , Data mining + , Social sciences + , Cluster analysis +
Has keyword Graph clustering + , Interaction network +
Isbn 9780769542577  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 288–295  +
Published in Proceedings - IEEE International Conference on Data Mining, ICDM +
Title Towards community discovery in signed collaborative interaction networks +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 8 November 2014 06:57:19  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 06:57:19  +
DateThis property is a special property in this wiki. 2010  +
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