Nonhomogeneous Media, Electronic Mail, Multiplexing, Analytical Models, Social Network Services, Communities, Pathogens, Information Diffusion, Multilayer Network, Multiplex, Interconnected, Spreading Processes
Abstract
Several systems can be modeled as sets of interconnected networks or networks with multiple types of connections, here generally called multilayer networks. Spreading processes such as information propagation among users of online social networks, or the diffusion of pathogens among individuals through their contact network, are fundamental phenomena occurring in these networks. However, while information diffusion in single networks has received considerable attention from various disciplines for over a decade, spreading processes in multilayer networks is still a young research area presenting many challenging research issues. In this paper, we review the main models, results and applications of multilayer spreading processes and discuss some promising research directions.
First column: Topics under study; “thr”: threshold. Second column: Reference. Third
column: Type of
underlying multilayer network; “I”: Interconnected network, “M”: Multiplex network.
Fourth and
Fifth columns: intra- and inter-layer connections between layers in underlying multilayer
network; “-”:
Node sets are identical in different layers, “Par”: A fraction of nodes are present
in all layers with
some probability, “Syn”: Synthetic dataset, “Real”: Real dataset, “DD”:
Degree-Driven network, “SF”: Scale-Free network, “ER”: Erdos-Reyni network, “SW”:
Small-World network, “R”: Random inter-connection, “AS”: Autonomous Systems,
“Corr”: Inter-layer connections with different correlation, “LL”: Interconnections
between
lowest-degree nodes of the two layers, “LH”: Interconnections between lowest-degree
nodes in one layer to
highest-degree nodes in other layer, “HH”: Interconnections between highest-degree
nodes of the two
layers. Sixth column: Spreading models. Seventh column: Measures for analyzing spreading
properties;
“ETh”: Epidemic Threshold, “IS”: Infection Size, “TE”: Temporal behavior of the
prevalence, “Sur”: Survival probability, “CV”: Cascade Velocity, “CS”: Cascade
Size, “STh”: Survival threshold, “DTh”: Absolute-dominance threshold. Eighth column:
Theoretical Approach; “Gn”: Generating function, “MC”: Microscopic Markov-Chain approximation,
“MF”: Mean-Field theory, “Gm”: Game Theory.
Rumor Spreading with Cross Propagation in Multilayer Social Networks 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)