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SPONGE: A generalized eigenproblem for clustering signed networks

Abstract:

We introduce a principled and theoretically sound spectral method for k-way clustering in signed graphs, where the affinity measure between nodes takes either positive or negative values. Our approach is motivated by social balance theory, where the task of clustering aims to decompose the network into disjoint groups such that individuals within the same group are connected by as many positive edges as possible, while individuals from different groups are connected by as many negative edges ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
ORCID:
0000-0002-8464-2152
Publisher:
Proceedings of Machine Learning Research Publisher's website
Journal:
pmlr Journal website
Volume:
89
Pages:
1088-1098
Host title:
PMLR
Publication date:
2019-04-25
Acceptance date:
2018-12-22
EISSN:
2640-3498
Source identifiers:
959535
Pubs id:
pubs:959535
UUID:
uuid:99c44cfd-ac20-4bb1-ab35-4304fa0bc80a
Local pid:
pubs:959535
Deposit date:
2019-01-15

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