General theory for extended-range percolation on simple and multiplex networks
Extended-range percolation is a robust percolation process that has relevance for quantum communication problems. In extended-range percolation nodes can be trusted or untrusted. Untrusted facilitator nodes are untrusted nodes that can still allow communication between trusted nodes if they lie on a path of distance at most R between two trusted nodes. In extended-range percolation the extended-range giant component (ERGC) includes trusted nodes connected by paths of trusted and untrusted facilitator nodes. Here, based on a message-passing algorithm, we develop a general theory of extended-range percolation, valid for arbitrary values of R as long as the networks are locally treelike. This general framework allows us to investigate the properties of extended-range percolation on interdependent multiplex networks. While the extended-range nature makes multiplex networks more robust, interdependency makes them more fragile. From the interplay between these two effects a rich phase diagram emerges including discontinuous phase transitions and reentrant phases. The theoretical predictions are in excellent agreement with extensive Monte Carlo simulations. The proposed exactly solvable model constitutes a fundamental reference for the study of models defined through properties of extended-range paths.
Authors
- Lorenzo Cirigliano (ORCID: https://orcid.org/0000-0001-9566-3277)
- Ginestra Bianconi (ORCID: https://orcid.org/0000-0002-3380-887X)
- Claudio Castellano (ORCID: https://orcid.org/0000-0002-3773-3801)
Institutions
- Turing Institute (GB)
- Queen Mary University of London (GB)
- British Library (GB)
- Centro Ricerche Enrico Fermi (IT)
- The Alan Turing Institute (GB)
- Institute for Complex Systems (IT)
Publication Details
- Journal
- Physical review. E
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1103/physreve.110.034302
- Citations
- 6
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.69