The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter
Daniel M. Romero, Jon Kleinberg

TL;DR
This paper investigates the directed closure process in Twitter, providing empirical evidence and models to understand how links are formed through a shortcutting mechanism similar to triadic closure.
Contribution
It formalizes the directed closure process, develops a methodology for its study, and analyzes Twitter data to demonstrate its significance in link formation.
Findings
Directed closure is a significant factor in Twitter link formation.
Empirical evidence supports the shortcutting hypothesis.
Models capturing directed closure phenomena are proposed and analyzed.
Abstract
It has often been taken as a working assumption that directed links in information networks are frequently formed by "short-cutting" a two-step path between the source and the destination -- a kind of implicit "link copying" analogous to the process of triadic closure in social networks. Despite the role of this assumption in theoretical models such as preferential attachment, it has received very little direct empirical investigation. Here we develop a formalization and methodology for studying this type of directed closure process, and we provide evidence for its important role in the formation of links on Twitter. We then analyze a sequence of models designed to capture the structural phenomena related to directed closure that we observe in the Twitter data.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Peer-to-Peer Network Technologies
