DocumentCode :
2578461
Title :
Social chance discovery
Author :
Hong, Chao-Fu ; Huang, Chien-Jen ; Wu, Jheng-Long
Author_Institution :
Dept. of Inf. Manage., Aletheia Univ., Taipei, Taiwan
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
1710
Lastpage :
1713
Abstract :
Information technology such as data mining or text mining, can extract useful data structure from data. But extracted data structure was hardly used in explaining the meaning of data itself. In reality, a laborer can hardly catch any meaningful job information from members of his work group (strong tie) when it comes to changing jobs. However, some of his friends (weak tie), although not so close to him, associated to other work groups, can bring him information about new jobs. This information is very important in job hunting. This kind of personal central base social networks can be used to realize a person´s motivation and enrich his social capital, extends his resources to the resources of his linked friends. This process is called social chance discovery. Base on this concept, in this study, we build model of qualitative chance discovery and apply it on DVD news. Experiment results show this model can be used as an interactive tool to help company understands the way of breaking entry barrier to compete with existing companies in the harsh environment of DVD industry.
Keywords :
human factors; social sciences computing; DVD industry; DVD news; information technology; interactive tool; motivation; personal central base social network; qualitative chance discovery; social capital; social chance discovery; social computing; Bridges; Cybernetics; DVD; Data mining; Data structures; Information management; Information technology; Joining processes; Social network services; Text mining; chance discovery; qualitative analysis; quantitative analysis; social capital; social computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346712
Filename :
5346712
Link To Document :
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