Full metadata
Title
Connecting users with similar interests for group understanding
Description
In most social networking websites, users are allowed to perform interactive activities. One of the fundamental features that these sites provide is to connecting with users of their kind. On one hand, this activity makes online connections visible and tangible; on the other hand, it enables the exploration of our connections and the expansion of our social networks easier. The aggregation of people who share common interests forms social groups, which are fundamental parts of our social lives. Social behavioral analysis at a group level is an active research area and attracts many interests from the industry. Challenges of my work mainly arise from the scale and complexity of user generated behavioral data. The multiple types of interactions, highly dynamic nature of social networking and the volatile user behavior suggest that these data are complex and big in general. Effective and efficient approaches are required to analyze and interpret such data. My work provide effective channels to help connect the like-minded and, furthermore, understand user behavior at a group level. The contributions of this dissertation are in threefold: (1) proposing novel representation of collective tagging knowledge via tag networks; (2) proposing the new information spreader identification problem in egocentric soical networks; (3) defining group profiling as a systematic approach to understanding social groups. In sum, the research proposes novel concepts and approaches for connecting the like-minded, enables the understanding of user groups, and exposes interesting research opportunities.
Date Created
2013
Contributors
- Wang, Xufei (Author)
- Liu, Huan (Thesis advisor)
- Kambhampati, Subbarao (Committee member)
- Sundaram, Hari (Committee member)
- Ye, Jieping (Committee member)
- Arizona State University (Publisher)
Topical Subject
- Computer Science
- Social Research
- Sociology
- community detection
- Group Profiling and Understanding
- Information Spreader
- Social Computing
- Social Network Analysis
- Tag Network
- Social networks--Data processing.
- Social networks
- Social groups--Data processing.
- Social groups
- Interpersonal relations--Data processing.
- Interpersonal relations
Resource Type
Extent
x, 113 p. : ill. (chiefly col.)
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.17780
Statement of Responsibility
by Xufei Wang
Description Source
Viewed on Nov. 13, 2013
Level of coding
full
Note
Partial requirement for: Ph.D., Arizona State University, 2013
Note type
thesis
Includes bibliographical references (p. 101-112)
Note type
bibliography
Field of study: Computer science
System Created
- 2013-07-12 06:15:34
System Modified
- 2021-08-30 01:42:35
- 2 years 8 months ago
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