TY - GEN
T1 - Opinion diffusion and campaigning on society graphs
AU - Faliszewski, Piotr
AU - Gonen, Rica
AU - Koutecký, Martin
AU - Talmon, Nimrod
N1 - Publisher Copyright:
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting the clusters. Our model is very powerful and can incorporate many campaigning actions, various partitions of the society into clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters.
AB - We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting the clusters. Our model is very powerful and can incorporate many campaigning actions, various partitions of the society into clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters.
UR - http://www.scopus.com/inward/record.url?scp=85055714248&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2018/30
DO - 10.24963/ijcai.2018/30
M3 - Conference contribution
AN - SCOPUS:85055714248
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 219
EP - 225
BT - Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
A2 - Lang, Jerome
PB - International Joint Conferences on Artificial Intelligence
T2 - 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Y2 - 13 July 2018 through 19 July 2018
ER -