Block matrix models for dynamic networks

Mohammed Al Mugahwi, Omar De La Cruz Cabrera, Caterina Fenu, Lothar Reichel and Giuseppe Rodriguez

Applied Mathematics and Computation, 2021, vol. 402, issue C

Abstract: Networks in which connections change over time arise in many applications, e.g., when modeling phone calls and flights between airports. This paper discusses new ways to define adjacency matrices associated with this kind of networks. We propose that dynamic networks be modeled with the aid of block upper triangular adjacency matrices. Both modeling and computational aspects are discussed. Several applications to real dynamic networks are presented and illustrate the advantages of the proposed method when compared with an available approach.

Keywords: Time-dependent centrality; Complex network; Evolving network; Graph (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:402:y:2021:i:c:s0096300321001697

DOI: 10.1016/j.amc.2021.126121

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