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Information diffusion in interconnected heterogeneous networks
- Publication Year :
- 2017
-
Abstract
- In this paper, we are interested in modeling the diffusion of information in a multilayer network using thermodynamic diffusion approach. State of each agent is viewed as a topic mixture represented by a distribution over multiple topics. We have observed and learned diffusion-related thermodynamical patterns in the training data set, and we have used the estimated diffusion structure to predict the future states of the agents. A priori knowledge of a fraction of the state of all agents changes the problem to be a Kalman predictor problem that refines the predicted system state using the error in estimation of the agents. A real world Twitter data set is then used to evaluate and validate our information diffusion model.<br />Comment: 5-9 March 2017. arXiv admin note: substantial text overlap with arXiv:1602.04854
- Subjects :
- Computer Science - Social and Information Networks
Physics - Physics and Society
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1707.05150
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/ICASSP.2017.7952859