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Influence Maximization with Spontaneous User Adoption
2020
Proceedings of the 13th International Conference on Web Search and Data Mining
We incorporate the realistic scenario of spontaneous user adoption into influence propagation (also refer to as self-activation) and propose the self-activation independent cascade (SAIC) model: nodes may be self activated besides being selected as seeds, and influence propagates from both selected seeds and self activated nodes. Self activation occurs in many real world situations; for example, people naturally share product recommendations with their friends, even without marketing
doi:10.1145/3336191.3371791
dblp:conf/wsdm/SunCYC20
fatcat:pme3eq3amndl3epyl52pm3fqya