Structural Patterns and Generative Models of Real-world Hypergraphs
Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
Abstract
Graphs have been utilized as a powerful tool to model pairwise relationships between people or objects. Such structure is a special type of a broader concept referred to as hypergraph, in which each hyperedge may consist of an arbitrary number of nodes, rather than just two. A large number of real-world datasets are of this form - for example, lists of recipients of emails sent from an organization, users participating in a discussion thread or subject labels tagged in an online question. However, due to complex representations and lack of adequate tools, little attention has been paid to exploring the underlying patterns in these interactions.
Topics & Concepts
Pairwise comparisonComputer scienceGenerative grammarSubject (documents)Artificial intelligenceGenerative modelTheoretical computer scienceMathematicsType (biology)Thread (computing)Complex Network Analysis TechniquesData Visualization and AnalyticsHuman Mobility and Location-Based Analysis