DocumentCode :
680892
Title :
Red Black Network: Temporal and Topological Analysis of Two Intertwined Social Networks
Author :
Pandit, Shubha ; Koch, Jurgen ; Yang Yang ; Uzzi, Brian ; Chawla, Nitesh V.
fYear :
2013
fDate :
18-20 Nov. 2013
Firstpage :
719
Lastpage :
724
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.
Keywords :
military communication; statistical analysis; telecommunication network topology; actors; co-dependent social networks; interdependent networks; intertwined social networks; multirelational link prediction; performing arts industry; red black network; semi-blind prediction; statistical properties; temporal analysis; temporal data; temporal prediction; topological analysis; Collaboration; Computers; Correlation; History; Measurement; Production; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, MILCOM 2013 - 2013 IEEE
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/MILCOM.2013.128
Filename :
6735708
Link To Document :
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