Tight Sampling in Unbounded Networks


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Date

2024

Publication Type

Conference Paper

ETH Bibliography

yes

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Abstract

The default approach to deal with the enormous size and limited accessibility of many Web and social media networks is to sample one or more subnetworks from a conceptually unbounded unknown network. Clearly, the extracted subnetworks will crucially depend on the sampling scheme. Motivated by studies of homophily and opinion formation, we propose a variant of snowball sampling designed to prioritize the inclusion of entire cohesive communities rather than any kind of representativeness, breadth, or depth of coverage. The method is illustrated on a concrete example, and experiments on synthetic networks suggest that it behaves as desired.

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Publication status

published

Book title

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media

Volume

18

Pages / Article No.

704 - 716

Publisher

AAAI

Event

18th International AAAI Conference on Web and Social Media (ICWSM 2024)

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Software

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Subject

Organisational unit

09610 - Brandes, Ulrik / Brandes, Ulrik check_circle

Notes

Funding

209488 - Homophily and the Spread of (Dis)Information in Social Media (SNF)

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