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From which world is your graph?

Abstract:

Discovering statistical structure from links is a fundamental problem in the analysis of social networks. Choosing a misspecified model, or equivalently, an incorrect inference algorithm will result in an invalid analysis or even falsely uncover patterns that are in fact artifacts of the model. This work focuses on unifying two of the most widely used link-formation models: the stochastic blockmodel (SBM) and the small world (or latent space) model (SWM). Integrating techniques from kernel le...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Department:
Oxford, MPLS, Computer Science
Publisher:
Neural Information Processing Systems Foundation Publisher's website
Publication date:
2018-07-01
Acceptance date:
2017-09-04
Pubs id:
pubs:725784
URN:
uri:73693a08-95d2-4372-b7d3-8227577d2929
UUID:
uuid:73693a08-95d2-4372-b7d3-8227577d2929
Local pid:
pubs:725784

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