Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
On the submodularity of influence in social networks
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
On threshold behavior in query incentive networks
Proceedings of the 8th ACM conference on Electronic commerce
Social and Economic Networks
Competitive influence maximization in social networks
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Threshold models for competitive influence in social networks
WINE'10 Proceedings of the 6th international conference on Internet and network economics
Proceedings of the 20th international conference on World wide web
Which Networks are Least Susceptible to Cascading Failures?
FOCS '11 Proceedings of the 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science
Competitive contagion in networks
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Finding red balloons with split contracts: robustness to individuals' selfishness
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Proceedings of the 13th ACM Conference on Electronic Commerce
On discrete preferences and coordination
Proceedings of the fourteenth ACM conference on Electronic commerce
| Hi-index | 0.00 |
At a local level, networks mediate the interactions between pairs of individuals; and when these pairwise interactions are linked together across multiple steps in the network, larger patterns of cascading behavior can develop. Depending on the context, such cascades can represent desirable outcomes for the system -- such as the spread of a product or social movement that is promoted by word-of-mouth effects -- or they can represent destructive outcomes -- such as the outbreak of a disease or a financial crisis. Here we consider a range of models for cascading behavior, focusing in particular on these phenomena in social and information networks. Our discussion will draw on several themes in the study of cascading behavior, including the following issues.