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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75693

Title:	Composing activity groups in social networks
Authors:	Li, C.-T.;Shan, Man-Kwan 沈錳坤
Contributors:	資科系
Keywords:	Cocktail party;Group formations;Group members;Group size;Networking services;Social Networks;Study Groups;Approximation algorithms
Date:	2012
Issue Date:	2015-06-11 14:24:07 (UTC+8)
Abstract:	One important function of current social networking services is allowing users to initialize different kinds of activity groups (e.g. study group, cocktail party, and group buying) and invite friends to attend in either manual or collaborative manners. However, such process of group formation is tedious, and could either include inappropriate group members or miss relevant ones. This work proposes to automatically compose the activity groups in a social network according to user-specified activity information. Given the activity host, a set of labels representing the activity`s subjects, the desired group size, and a set of must-inclusive persons, we aim to find a set of individuals as the activity group, in which members are required to not only be familiar with the host but also have great communications with each other. We devise an approximation algorithm to greedily solve the group composing problem. Experiments on a real social network show the promising effectiveness of the proposed approach as well as the satisfactory human subjective study. © 2012 ACM.
Relation:	ACM International Conference Proceeding SeriesKnowledge management; Social networking (online);CIKM 2012; Maui, HI; United States; 29 October 2012 through 2 November 2012; Code 94401
Data Type:	conference
DOI link:	http://dx.doi.org/10.1145/2396761.2398644
DOI:	10.1145/2396761.2398644
Appears in Collections:	[Department of Computer Science ] Proceedings

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