The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Personalized recommendation driven by information flow
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A framework for analysis of dynamic social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Diffusion dynamics in small-world networks with heterogeneous consumers
Computational & Mathematical Organization Theory
A New Product Growth for Model Consumer Durables
Management Science
Journal of the American Society for Information Science and Technology
The Impact of Structural Changes on Predictions of Diffusion in Networks
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Agent-based simulation of the diffusion of warnings
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
The impact of countermeasure propagation on the prevalence of computer viruses
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On truth discovery in social sensing: a maximum likelihood estimation approach
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Information cascades in social media in response to a crisis: a preliminary model and a case study
Proceedings of the 21st international conference companion on World Wide Web
Seeding influential nodes in non-submodular models of information diffusion
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Maximum likelihood analysis of conflicting observations in social sensing
ACM Transactions on Sensor Networks (TOSN)
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Diffusion occurs in various contexts and generally involves a network of entities and interactions between entities. Through these interactions, some property, e.g., information, ideas, etc., is spread through the network. This paper presents a general model of diffusion in dynamic networks. The authors simulate the diffusion of evacuation warnings in multiple network structures under various model settings and observe the proportion of evacuated nodes. The network dynamics occur as the result of the diffusion where nodes may leave the network after receiving the warning. The authors use the model to explore how the network structure, seeding strategy, network trust, and trust distribution affect the diffusion process. The effectiveness of the diffusion is a function of the network structure and seeding strategy used in delivering the initial broadcast. The simulation results reveal interesting observations on the effects of network trust and distribution of trust in the network.