Title
Empowering Collaborative Intelligence by the Use of User-Centered Social Network Aggregation
Abstract
Online social networks (OSNs) such as Facebook, Twitter, Linked In, Google+, have become extremely popular and ubiquitous today. Users are actively connected to these services for creating and sharing contents and events with others, and, in some cases, this activity takes place in the scope of groups of interests. Therefore, from amongst the morass of data generated every day by users, a part of information may match the interests of certain groups. In practice, members are not all linked to each other via each OSN they are connected to. It is also not realistic to assume that each member can manually explore all others' social profiles to reach the information that may be relevant to their interests. Thus, there is a need for aggregating members' social streams on a single information support to collect relevant information, and, consequently, to promote collaborative knowledge-sharing. However, the disconnected nature of today social websites prevents a straightforward aggregation process. An efficient automated aggregation model is needed. We present, in this paper, the idea of empowering collaborative intelligence by the use of a user-centered approach for OSN aggregation. We illustrate the approach by a first experience to evaluate its impact on users information sharing and enrichment capabilities.
Year
DOI
Venue
2013
10.1109/WI-IAT.2013.60
Web Intelligence
Keywords
Field
DocType
relevant information,osn aggregation,content sharing,collaborative knowledge-sharing,collaborative filtering,automated aggregation model,social networks,google+,relevant information collection,information retrieval,users information sharing,efficient automated aggregation model,social stream,twitter,knowledge management,online social network,collaborative intelligence,empowering collaborative intelligence,facebook,member social stream aggregation,content management,social web,social profiles,social websites,user-centered social network aggregation,straightforward aggregation process,content creation,social profile,single information support,online social networks,user-centered approach,user profiles aggregation,social networking (online),linked in,information sharing
Data mining,World Wide Web,Social network,Collaborative filtering,Computer science,Content management,Collaborative intelligence,Information sharing
Conference
Volume
ISBN
Citations 
1
978-1-4799-2902-3
2
PageRank 
References 
Authors
0.39
11
3
Name
Order
Citations
PageRank
Xuan-Truong Vu1101.98
Pierre Morizet-mahoudeaux232436.78
Marie-Hélène Abel316537.38