DocumentCode :
3749165
Title :
Positive Influence Dominating Set generation in social networks
Author :
Akshaye Dhawan;Matthew Rink
Author_Institution :
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA, United States of America
fYear :
2015
Firstpage :
112
Lastpage :
117
Abstract :
Current algorithms in the Positive Influence Dominating Set (PIDS) problem domain are focused on a specific type of PIDS, the Total Positive Influence Dominating Set (TPIDS). We have developed an algorithm specifically targeted towards the non-total type of PIDS. In addition to our new algorithm, we adapted two existing TPIDS algorithms to generate PIDS. We ran simulations for all three algorithms, and our new algorithm consistently generates smaller PIDS than both existing algorithms, with our algorithm generating PIDS approximately 5% smaller than the better of the two existing algorithms.
Keywords :
"Algorithm design and analysis","Social network services","Approximation algorithms","Peer-to-peer computing","Mathematical model","Context","Simulation"
Publisher :
ieee
Conference_Titel :
Computing and Network Communications (CoCoNet), 2015 International Conference on
Type :
conf
DOI :
10.1109/CoCoNet.2015.7411175
Filename :
7411175
Link To Document :
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