Name
Abstract | ||
|---|---|---|
Temporal networks can be used to model systems that evolve over longer time scales such as networks of disease spread, for instance, HIV/AIDS disease that is propagated within the population over a relatively long period. Analyzing temporal networks can be done by considering the network either as a series of snapshots (aggregation over a time window) or as a dynamic object whose structure changes over time. The first approach is used in this paper and requires specifying a size of time window that delimits snapshot size. To our best knowledge, there is not yet studies on setting the size of the window in a methodical basis. In real, existing works rely on a static or a regular value of time window size to capture snapshots over time. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-16042-5_10 | AFRICOMM |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Ould Mohamed Moctar | 1 | 0 | 0.68 |
| Idrissa Sarr | 2 | 27 | 9.35 |
| Joel Vaumi Tanzouak | 3 | 0 | 0.34 |