Elements of complex networks
Larrañaga, Pedro (1); P. Soloviev, Vicente (2)
- Publication year:
- 2023
- Publication place:
- Donostia
- Characteristics:
- BIBLID [0212-7016; eISSN: 2952-4180 (2023), 68, 2] - Recep: 2023-09-01; Accep: 2023-10-17
- ISSN:
- 0212-7016; eISSN: 2952-4180
Summary
The infrastructures made up of different layers interoperating within society to provide global and public technological services, constituting the so-called techno-social systems, can be represented graphically by means of complex networks. Complex networks are the mathematical paradigm used as the basis for modeling the behavior of these techno-social systems and able to predict their behavior. A complex network is a graph with non-trivial topological features that can be characterized by statistical indicators such as different measures of centrality and detection of communities. Applications of complex systems have been developed in disciplines as diverse as the Web, communication networks, brain networks, biological networks, climate networks, sport, and social networks. This article intuitively shows the underlying theory of complex networks, as well as different methods for their modeling from data. By way of illustration, the application of an open access software to the induction and characterization of a complex network of bibliographic citations among researchers from a department at the Universidad del País Vasco/Euskal Herriko Unibertsitatea is presented.
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