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