Paper Info
Title
Multiplex Networks with Intrinsic Fitness: Modeling the Merit-Fame Interplay via Latent Layers
Abstract
We consider the problem of growing multiplex networks with intrinsic fitness and inter-layer coupling. The model comprises two layers; one that incorporates fitness and another in which attachments are preferential. In the first layer, attachment probabilities are proportional to fitness values, and in the second layer, proportional to the sum of degrees in both layers. We provide analytical closed-form solutions for the joint distributions of fitness and degrees. We also derive closed-form expressions for the expected value of the degree as a function of fitness. The model alleviates two shortcomings that are present in the current models of growing multiplex networks: homogeneity of connections, and homogeneity of fitness. In this paper, we posit and analyze a growth model that is heterogeneous in both senses.
Year
DOI
Venue
2015
10.1016/j.chaos.2015.06.004
Chaos, Solitons & Fractals
Field
DocType
Volume
Statistical physics,Growth model,Homogeneity (statistics),Joint probability distribution,Coupling,Expression (mathematics),Mathematical analysis,Multiplex,Expected value,Mathematics,Instrumental and intrinsic value
Journal
80
ISSN
Citations 
PageRank 
0960-0779
0
0.34
References 
Authors
7
2
Name
Order
Citations
PageRank
Babak Fotouhi112.75
Naghmeh Momeni243.87