Temporal configuration model
Statistical inference and spreading processes
Bibliographic Data
| ID | 6443318 |
|---|---|
| Authors | Thien Minh Le (0000-0003-2948-8778, University of Tennessee at Chattanooga), Hali Hambridge (Harvard University), Jukka-Pekka Onnela (0000-0001-6613-8668, Harvard University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2025.10015 |
| OpenAlex | W7114765682 |
| Language | EN |
| References cited | 28 |
We introduce a family of parsimonious network models that are intended to generalize the configuration model to temporal settings. We present consistent estimators for the model parameters and perform numerical simulations to illustrate the properties of the estimators on finite samples. We also derive analytical solutions for the basic and effective reproduction numbers for the early stage of the discrete-time SIR spreading process for our temporal configuration model (TCM). We apply three distinct TCMs to empirical student proximity networks and compare their performance
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| Citation velocity | historical |
|---|---|
| Highly cited | No |