Name
Abstract | ||
|---|---|---|
We introduce an improved model for human communication patterns, in particular for arrival times of Twitter tweets. We introduce a concept that allows to capture the dependence of subsequent waiting times between such events. The presence of such dependence not only matches intuition, but the data shows a significantly better fit for the new model, thus confirming the proposition. |
Year | Venue | Field |
|---|---|---|
2015 | arXiv: Applications | Econometrics,Proposition,World Wide Web,Markov model,Computer science,Intuition,Theoretical computer science,Human communication |
DocType | Volume | Citations |
Journal | abs/1509.04857 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Balazs Gerencser | 1 | 30 | 7.69 |
| Christophe Cloquet | 2 | 0 | 0.68 |
| Vincent D. Blondel | 3 | 1880 | 184.86 |