Riccardo Tasso - Academia.edu (original) (raw)
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Papers by Riccardo Tasso
Proceedings of the 22nd ACM conference on Hypertext and hypermedia - HT '11, 2011
The study of collaboration patterns in wikis can help shed light on the process of content creati... more The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities. To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance by the community. The scalability of this approach allows us to study the English Wikipedia community as a co-authorship network. We find evidence of the presence of a nucleus of very active contributors, who seem to spread over the whole wiki, and to interact preferentially with inexperienced users. The fundamental role played by this elite is witnessed by the growing centrality of sociometric stars in the network. Isolating the community active around a category, it is possible to study its specific dynamics and most influential authors.
The online encyclopedia Wikipedia offers millions of articles which are organized in a hierarchic... more The online encyclopedia Wikipedia offers millions of articles which are organized in a hierarchical category structure, created and updated by users. In this paper we present a technique which leverages this rich and disordered graph to assign each article to one or more topics. We modify an existing approach, based on the shortest paths between categories, in order to account for the direction of the hierarchy.
Proceedings of ICWSM, May 7, 2011
Talk pages play a fundamental role in Wikipedia as the place for discussion and communication. In... more Talk pages play a fundamental role in Wikipedia as the place for discussion and communication. In this work we use the comments on these pages to extract and study three networks, corresponding to different kinds of interactions. We find evidence of a specific assortativity profile which differentiates article discussions from personal conversations. An analysis of the tree structure of the article talk pages allows to capture patterns of interaction, and reveals structural differences among the discussions about articles from different ...
The study of collaboration patterns in wikis can help shed light on the process of content creati... more The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities.
To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance by the community.
The scalability of this approach allows us to study the English Wikipedia community as a co-authorship network.
We find evidence of the presence of a nucleus of very active contributors, who seem to spread over the whole wiki, and to interact preferentially with inexperienced users.
The fundamental role played by this elite is witnessed by the growing centrality of sociometric stars in the network.
Isolating the community active around a category, it is possible to study its specific dynamics and most influential authors.
Proceedings of the 22nd ACM conference on Hypertext and hypermedia - HT '11, 2011
The study of collaboration patterns in wikis can help shed light on the process of content creati... more The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities. To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance by the community. The scalability of this approach allows us to study the English Wikipedia community as a co-authorship network. We find evidence of the presence of a nucleus of very active contributors, who seem to spread over the whole wiki, and to interact preferentially with inexperienced users. The fundamental role played by this elite is witnessed by the growing centrality of sociometric stars in the network. Isolating the community active around a category, it is possible to study its specific dynamics and most influential authors.
The online encyclopedia Wikipedia offers millions of articles which are organized in a hierarchic... more The online encyclopedia Wikipedia offers millions of articles which are organized in a hierarchical category structure, created and updated by users. In this paper we present a technique which leverages this rich and disordered graph to assign each article to one or more topics. We modify an existing approach, based on the shortest paths between categories, in order to account for the direction of the hierarchy.
Proceedings of ICWSM, May 7, 2011
Talk pages play a fundamental role in Wikipedia as the place for discussion and communication. In... more Talk pages play a fundamental role in Wikipedia as the place for discussion and communication. In this work we use the comments on these pages to extract and study three networks, corresponding to different kinds of interactions. We find evidence of a specific assortativity profile which differentiates article discussions from personal conversations. An analysis of the tree structure of the article talk pages allows to capture patterns of interaction, and reveals structural differences among the discussions about articles from different ...
The study of collaboration patterns in wikis can help shed light on the process of content creati... more The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities.
To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance by the community.
The scalability of this approach allows us to study the English Wikipedia community as a co-authorship network.
We find evidence of the presence of a nucleus of very active contributors, who seem to spread over the whole wiki, and to interact preferentially with inexperienced users.
The fundamental role played by this elite is witnessed by the growing centrality of sociometric stars in the network.
Isolating the community active around a category, it is possible to study its specific dynamics and most influential authors.