Research Article
Snapshot Setting for Temporal Networks Analysis
@INPROCEEDINGS{10.1007/978-3-030-16042-5_10, author={Ahmed Ould Mohamed Moctar and Idrissa Sarr and Joel Vaumi Tanzouak}, title={Snapshot Setting for Temporal Networks Analysis}, proceedings={e-Infrastructure and e-Services for Developing Countries. 10th EAI International Conference, AFRICOMM 2018, Dakar, Senegal, November 29-30, 2019, Proceedings}, proceedings_a={AFRICOMM}, year={2019}, month={3}, keywords={Time window size Temporal networks Quality function}, doi={10.1007/978-3-030-16042-5_10} }- Ahmed Ould Mohamed Moctar
Idrissa Sarr
Joel Vaumi Tanzouak
Year: 2019
Snapshot Setting for Temporal Networks Analysis
AFRICOMM
Springer
DOI: 10.1007/978-3-030-16042-5_10
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.