Name
Abstract | ||
|---|---|---|
Real-world social and/or operational networks consist of agents with associated states, whose connectivity forms complex topologies. This complexity is further compounded by interconnected information layers, consisting, for instance, documents/resources of the agents which mutually share topical similarities. Our goal in this paper is to predict the specific states of the agents, as their observe... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSIPN.2016.2618324 | IEEE Transactions on Signal and Information Processing over Networks |
Keywords | DocType | Volume |
Blogs,Multiplexing,Social network services,Diffusion processes,Kalman filters,Nonhomogeneous media,Computational modeling | Journal | 2 |
Issue | ISSN | Citations |
4 | 2373-776X | 3 |
PageRank | References | Authors |
0.38 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shahin Mahdizadehaghdam | 1 | 6 | 0.78 |
| Han Wang | 2 | 3 | 0.38 |
| Hamid Krim | 3 | 520 | 59.69 |
| liyi dai | 4 | 17 | 3.81 |