Triadic analysis of affiliation networks

TL;DR

This paper introduces a new measure for triadic closure in affiliation networks that accounts for repeat group attendance, providing a more accurate reflection of social network structures.

Contribution

It proposes a novel triadic closure measure within a new framework, addressing limitations of existing measures related to repeat group attendance.

Findings

The new measure shows improved reliability and validity.

Empirical analysis highlights differences between measures.

The framework offers a systematic way to define triadic measures.

Abstract

Triadic closure has been conceptualized and measured in a variety of ways, most famously the clustering coefficient. Existing extensions to affiliation networks, however, are sensitive to repeat group attendance, which manifests in bipartite models as biclique proliferation. Whereas this sensitivity does not reflect common interpretations of triadic closure in social networks, this paper proposes a measure of triadic closure in affiliation networks designed to control for it. To avoid arbitrariness, the paper introduces a triadic framework for affiliation networks, within which a range of measures can be defined; it then presents a set of basic axioms that suffice to narrow this range to the one measure. An instrumental assessment compares the proposed and two existing measures for reliability, validity, redundancy, and practicality. All three measures then take part in an investigation of three empirical social networks, which illustrates their differences.