Abstract | ||
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In Online Social Networks (OSNs), it can be difficult to maintain the context of a conversation or action, i.e. to know what the situation is and how to act appropriately. The resulting uncertainties may lead to privacy issues. We focus on one issue Context Collision in this paper, and motivate that a first step to address this issue is to help users distinguish groups of contacts within their OSN accounts. We conducted a small user study to investigate the criteria of users grouping the people they know. We summarized our participants' strategy of labeling the groups and found that they perform the grouping mainly by their connections with others. We used these results in the design of FreeBu, a semi-automatic and interactive grouping tool, which is based on mining friend graph data for community detection and profile information for labeling. |
Year | DOI | Venue |
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2012 | 10.1109/ICDMW.2012.88 | ICDM Workshops |
Keywords | Field | DocType |
mining friend graph data,profile information,privacy issue,interactive grouping tool,osn,context,context collision,issue context collision,small user study,transparency tool,visualization,privacy,internet,towards online context management,online social networks,interactive grouping,social networking (online),community detection,osn account | Graph,Data mining,World Wide Web,Social network,Conversation,Context management,Computer science,Visualization,Online participation,Collision,The Internet | Conference |
ISSN | ISBN | Citations |
2375-9232 | 978-1-4673-5164-5 | 6 |
PageRank | References | Authors |
0.43 | 12 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo Gao | 1 | 41 | 3.27 |
Bettina Berendt | 2 | 1215 | 94.04 |
Dave Clarke | 3 | 416 | 26.19 |
Ralf De Wolf | 4 | 27 | 3.14 |
Thomas Peetz | 5 | 10 | 1.20 |
Jo Pierson | 6 | 96 | 9.48 |
Rula Sayaf | 7 | 7 | 1.46 |