Red black network: Temporal and topological analysis of two intertwined social networks

Saurav Pandit, Jonathan Koch, Yang Yang, Brian Uzzi, Nitesh V. Chawla

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

In this paper we introduce and study the properties of certain kind of interdependent networks that we collectively call a Red Black Network - two intertwined social networks that work together towards a series of events (missions or performances). More specifically, members of one of the two networks is responsible for planning and organizing the events. They will generally be referred to as artists. Members of the other network, henceforth called actors, are responsible for the execution of the events. Using temporal data from the performing arts industry, we study the co-evolution of two such co-dependent social networks. We find that the statistical properties of two such networks are highly correlated, and use that finding to devise a prediction mechanism for such properties in a scenario when one of the two networks is invisible or only partially visible. This also sets up a framework for our ultimate goal of temporal, semi-blind, multi-relational link prediction.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE Military Communications Conference, MILCOM 2013
Pages719-724
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE Military Communications Conference, MILCOM 2013 - San Diego, CA, United States
Duration: Nov 18 2013Nov 20 2013

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Other

Other2013 IEEE Military Communications Conference, MILCOM 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/18/1311/20/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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