Latent Degree Graph Models for Social Networks
- Degree Grantor:
- University of California, Santa Barbara. Statistics and Applied Probability
- Degree Supervisor:
- S. Rao Jammalamadaka
- Place of Publication:
- [Santa Barbara, Calif.]
- Publisher:
- University of California, Santa Barbara
- Creation Date:
- 2012
- Issued Date:
- 2012
- Topics:
- Statistics
- Genres:
- Online resources and Dissertations, Academic
- Dissertation:
- Ph.D.--University of California, Santa Barbara, 2012
- Description:
In this thesis we develop a new class of statistical models for social networks called Latent Degree Graph models (LDGM) as an alternative to Exponential Random Graph Models and Latent space distance models.
- Physical Description:
- 1 online resource (140 pages)
- Format:
- Text
- Collection(s):
- UCSB electronic theses and dissertations
- Other Versions:
- http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3540235
- ARK:
- ark:/48907/f3445jd9
- ISBN:
- 9781267649027
- Catalog System Number:
- 990038915320203776
- Copyright:
- Hamid Ghofrani, 2012
- Rights:
In Copyright- Copyright Holder:
- Hamid Ghofrani
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