Studying baseline processes for measuring trust in social networks : local vs global
Authors
Kumar, Priti
ORCID
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Other Contributors
Adali, Sibel
Goldberg, Mark
Magdon-Ismail, Malik
Goldberg, Mark
Magdon-Ismail, Malik
Issue Date
2013-05
Keywords
Computer science
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In this thesis, I propose a study to understand the underlying factors contributing to trust in different networks. I develop baseline methods that study trust prediction in three separate levels: pairwise relations at a local level, and reputation at the community and network level. The reputation information shows one's standing in their social network, while local trust relations are based on having local common trusted relations. I study these methods in depth and show when they reveal similar or different performance. I then show how different methods can be combined to obtain better prediction algorithms based on my study.
Description
May 2013
School of Science
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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