Create 2023-06-15-distinguishing-simple-and-complex-contagion-processes-on-networks

Author: barrat

_publications/2023-06-15-distinguishing-simple-and-complex-contagion-processes-on-networks

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+title: Distinguishing Simple and Complex Contagion Processes on Networks
+slug: distinguishing-simple-and-complex-contagion-processes-on-networks
+date: '2023-06-15'
+reference: Phys. Rev. Lett. 130, 247401 (2023)
+bibtex: |-
+ @article{PhysRevLett.130.247401,
+  title = {Distinguishing Simple and Complex Contagion Processes on Networks},
+  author = {Cencetti, Giulia and Contreras, Diego Andr\'es and Mancastroppa, Marco and Barrat, Alain},
+  journal = {Phys. Rev. Lett.},
+  volume = {130},
+  issue = {24},
+  pages = {247401},
+  numpages = {7},
+  year = {2023},
+  month = {Jun},
+  publisher = {American Physical Society},
+  doi = {10.1103/PhysRevLett.130.247401},
+  url = {https://link.aps.org/doi/10.1103/PhysRevLett.130.247401}
+   keywords = {SocioPatterns}
+  }
+external_url: https://doi.org/10.1103/PhysRevLett.130.247401
+abstract: |-Contagion processes on networks, including disease spreading, information diffusion, or social behaviors propagation, can be modeled as simple contagion, i.e., as a contagion process involving one connection at a time, or as complex contagion, in which multiple interactions are needed for a contagion event. Empirical data on spreading processes, however, even when available, do not easily allow us to uncover which of these underlying contagion mechanisms is at work. We propose a strategy to discriminate between these mechanisms upon the observation of a single instance of a spreading process. The strategy is based on the observation of the order in which network nodes are infected, and on its correlations with their local topology: these correlations differ between processes of simple contagion, processes involving threshold mechanisms, and processes driven by group interactions (i.e., by “higher-order” mechanisms). Our results improve our understanding of contagion processes and provide a method using only limited information to distinguish between several possible contagion mechanisms.
+authors: Giulia Cencetti, Diego A Contreras, Marco Mancastroppa, Alain Barrat
+pid: Cencetti2023PhysRevLett
+layout: publication_item
+---