TY - GEN
T1 - Reducing gang violence through network influence based targeting of social programs
AU - Shakarian, Paulo
AU - Salmento, Joseph
AU - Pulleyblank, William
AU - Bertetto, John
PY - 2014
Y1 - 2014
N2 - In this paper, we study a variant of the social network maximum influence problem and its application to intelligently approaching individual gang members with incentives to leave a gang. The goal is to identify individuals who when influenced to leave gangs will propagate this action. We study this emerging application by exploring specific facets of the problem that must be addressed when modeling this particular situation. We formulate a new influence maximization variant - the "social incentive influence" (SII) problem and study it both formally and in the context of the law-enforcement domain. Using new techniques from unconstrained submodular maximization, we develop an approximation algorithm for SII and present a suite of experimental results - including tests on real-world police data from Chicago.
AB - In this paper, we study a variant of the social network maximum influence problem and its application to intelligently approaching individual gang members with incentives to leave a gang. The goal is to identify individuals who when influenced to leave gangs will propagate this action. We study this emerging application by exploring specific facets of the problem that must be addressed when modeling this particular situation. We formulate a new influence maximization variant - the "social incentive influence" (SII) problem and study it both formally and in the context of the law-enforcement domain. Using new techniques from unconstrained submodular maximization, we develop an approximation algorithm for SII and present a suite of experimental results - including tests on real-world police data from Chicago.
KW - complex networks
KW - network diffusion
KW - propagation in networks
UR - http://www.scopus.com/inward/record.url?scp=84907033473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907033473&partnerID=8YFLogxK
U2 - 10.1145/2623330.2623331
DO - 10.1145/2623330.2623331
M3 - Conference contribution
SN - 9781450329569
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 1829
EP - 1836
BT - KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
T2 - 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2014
Y2 - 24 August 2014 through 27 August 2014
ER -