Structure and dynamic processes in complex networks
Abstract/Contents
- Abstract
- The emergence of cyberspace gave rise to detailed traces of human behavior on-line, which results in an unprecedented opportunity to better understand the dynamics of social activities. Despite its diverse nature, the on-line behavior displays a number of strong regularities which can be understood by drawing on methods from statistical physics. This thesis first discusses statistical properties of a special kind of information network formed on-line, conversation threads, and more importantly, develops a dy- namical model which explains discrepancies in existing studies. It is also demon- strated that there are predictabilities of human interaction patterns by estimating mutual information of activity sequences. Additionally, properties of human behav- ior as a group, such as group purchasing and gathering, are scrutinized and modeled. And finally, diversity patterns of competing opinions/viruses diffused on network are modeled by investigating the formation of Turing pattern on large scale free networks.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Wang, Chunyan |
|---|---|
| Associated with | Stanford University, Department of Applied Physics. |
| Primary advisor | Doniach, S |
| Primary advisor | Huberman, B. A. (Bernardo A.), 1943- |
| Thesis advisor | Doniach, S |
| Thesis advisor | Huberman, B. A. (Bernardo A.), 1943- |
| Thesis advisor | Leskovec, Jurij |
| Advisor | Leskovec, Jurij |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Chunyan Wang. |
|---|---|
| Note | Submitted to the Department of Applied Physics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2013. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Chunyan Wang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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