Maximum independent set in multiplex social networks and its application to influence maximization
Identifying the most influential spreaders as an influence maximization problem (IMP) has become one of the most compelling topics in social network analysis due to its successes in viral marketing.
Mohammad Mehdi Daliri Khomami +2 more
doaj +1 more source
Multiplex network motifs as building blocks of corporate networks
In corporate networks, firms are connected through links of corporate ownership and shared directors, connecting the control over major economic actors in our economies in meaningful and consequential ways.
Frank W. Takes +3 more
doaj +1 more source
Synchronization Induced by Layer Mismatch in Multiplex Networks. [PDF]
Anwar MS, Rakshit S, Kurths J, Ghosh D.
europepmc +1 more source
PLEX.I: a tool to discover features in multiplex networks that reflect clinical variation. [PDF]
Yousefi B +4 more
europepmc +1 more source
Cycles and clustering in multiplex networks
In multiplex networks, cycles cannot be characterized only by their length, as edges may occur in different layers in different combinations. We define a classification of cycles by the number of edges in each layer and the number of switches between layers.
Baxter, Gareth J. +3 more
openaire +4 more sources
Structural characteristics in network control of molecular multiplex networks. [PDF]
Yuan C, Qian ZY, Zhou J, Chen SM, Nie S.
europepmc +1 more source
Community Detection in Multiplex Networks Based on Orthogonal Nonnegative Matrix Tri-Factorization
Networks are commonly used to model complex systems. The different entities in the system are represented by nodes of the network and their interactions by edges.
Meiby Ortiz-Bouza, Selin Aviyente
doaj +1 more source
Exploring complexity of class-A Beta-lactamase family using physiochemical-based multiplex networks. [PDF]
Bhadola P, Deo N.
europepmc +1 more source
The coevolution of the spread of a disease and competing opinions in multiplex networks. [PDF]
Fang F, Ma J, Li Y.
europepmc +1 more source
Evolution of cooperation in multiplex networks through asymmetry between interaction and replacement. [PDF]
Inaba M, Akiyama E.
europepmc +1 more source

