Fixed-Points of Social Choice: An Axiomatic Approach to Network Communities
Christian Borgs, Jennifer Chayes, Adrian Marple, Shang-Hua, Teng

TL;DR
This paper introduces an axiomatic social choice framework to define and analyze communities in social networks, providing structural characterizations, complexity results, and insights into aggregation limitations.
Contribution
It develops a novel axiomatic approach to community formation using preference networks, including a taxonomy theorem and complexity analysis.
Findings
Community rules form a bounded lattice structure.
Identifying communities with the most selective rule is in P.
Deciding community membership with the most comprehensive rule is coNP-complete.
Abstract
We provide the first social choice theory approach to the question of what constitutes a community in a social network. Inspired by the classic preferences models in social choice theory, we start from an abstract social network framework, called preference networks; these consist of a finite set of members where each member has a total-ranking preference of all members in the set. Within this framework, we develop two complementary approaches to axiomatically study the formation and structures of communities. (1) We apply social choice theory and define communities indirectly by postulating that they are fixed points of a preference aggregation function obeying certain desirable axioms. (2) We directly postulate desirable axioms for communities without reference to preference aggregation, leading to eight natural community axioms. These approaches allow us to formulate and analyze…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Social Media and Politics
