Winner takes all: competing viruses or ideas on fair-play networks
Proceedings of the 21st international conference on World Wide Web
Interacting viruses in networks: can both survive?
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Understanding and managing cascades on large graphs
Proceedings of the VLDB Endowment
Proceedings of the sixth ACM international conference on Web search and data mining
The bang for the buck: fair competitive viral marketing from the host perspective
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Hierarchical influence maximization for advertising in multi-agent markets
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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This paper presents a generalized version of the linear threshold model for simulating multiple cascades on a network while allowing nodes to switch between them. The proposed model is shown to be a rapidly mixing Markov chain and the corresponding steady state distribution is used to estimate highly likely states of the cascades' spread in the network. Results on a variety of real world networks demonstrate the high quality of the estimated solution.