Name
Abstract | ||
|---|---|---|
Social networks analysis and mining gets ever-increasing importance in various disciplines. In this context finding the most influential nodes with the highest social power is important in many applications including spreading of innovation, opinion formation, immunization, information propagation and recommendation. In this manuscript, we propose a mathematical framework in order to effectively e... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNSE.2017.2691405 | IEEE Transactions on Network Science and Engineering |
Keywords | Field | DocType |
Time series analysis,Social network services,Mathematical model,Optimization,Estimation,Numerical models,Cultural differences | PageRank,Heuristic,Mathematical optimization,Jensen's inequality,Social network,Inference,Closeness,Betweenness centrality,Artificial intelligence,Complex network,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 3 | 2327-4697 |
Citations | PageRank | References |
1 | 0.37 | 24 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omid AskariSichani | 1 | 16 | 1.28 |
| Mahdi Jalili | 2 | 314 | 37.98 |