Information and Attitude Diffusion in Networks

2012 ◽  
pp. 205-213 ◽  
Author(s):  
Wai-Tat Fu ◽  
Q. Vera Liao
Keyword(s):  
Diffusion In Networks

Strategic Diffusion in Networks Through Contagion

2018 ◽  
Author(s):  
Théophile T. Azomahou ◽  
Daniel Opolot
Keyword(s):  
Diffusion In Networks

Diffusion in Networks

2016 ◽  
pp. 478-503 ◽  
Author(s):  
P. J. Lamberson
Keyword(s):  
Social Learning ◽  
Network Structure ◽  
Stochastic Dominance ◽  
Degree Distribution ◽  
Future Research ◽  
Threshold Models ◽  
Epidemiological Models ◽  
Spreading Process ◽  
Dominance Relations ◽  
Diffusion In Networks

This chapter examines models of diffusion in networks, and specifically how the topology of the network impacts the spreading process. The chapter begins by discussing epidemiological models and how stochastic dominance relations can be used to understand the effect of the degree distribution of the network. The chapter then turns to more sophisticated models of social influence, including threshold models and models of social learning. A key insight that emerges from the collection of models discussed is that not only does network structure matter, but how the network matters depends on the way in which agents influence one another. Network features that facilitate contagion under one model of influence can inhibit diffusion in another. The chapter concludes with thoughts on directions for future research.

scholarly journals Resilient Distributed Diffusion in Networks With Adversaries

2020 ◽  
Vol 6 ◽  
pp. 1-17 ◽  
Author(s):  
Jiani Li ◽  
Waseem Abbas ◽  
Xenofon Koutsoukos
Keyword(s):  
Diffusion In Networks

scholarly journals Productivity Effects of Information Diffusion in Networks

2007 ◽  
Author(s):  
Sinan Aral ◽  
Erik Brynjolfsson ◽  
Marshall W. Van Alstyne
Keyword(s):  
Information Diffusion ◽  
Diffusion In Networks

The effect of structural disparities on knowledge diffusion in networks: an agent-based simulation model

2016 ◽  
Vol 12 (3) ◽  
pp. 613-634 ◽  
Author(s):  
Matthias Mueller ◽  
Kristina Bogner ◽  
Tobias Buchmann ◽  
Muhamed Kudic
Keyword(s):  
Simulation Model ◽  
Knowledge Diffusion ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Diffusion In Networks

Texture recognition based on diffusion in networks

2016 ◽  
Vol 364-365 ◽  
pp. 51-71 ◽  
Author(s):  
Wesley Nunes Gonçalves ◽  
Núbia Rosa da Silva ◽  
Luciano da Fontoura Costa ◽  
Odemir Martinez Bruno
Keyword(s):  
Texture Recognition ◽  
Diffusion In Networks

Self-diffusion in networks ofCPClO3wormlike micelles

1995 ◽  
Vol 51 (3) ◽  
pp. 2150-2156 ◽  
Author(s):  
N. Morié ◽  
W. Urbach ◽  
D. Langevin
Keyword(s):  
Self Diffusion ◽  
Diffusion In Networks

scholarly journals Bottleneck links, essential intermediaries, and competing paths of diffusion in networks

2021 ◽  
Vol 16 (3) ◽  
pp. 1017-1053
Author(s):  
Mihai Manea
Keyword(s):  
Intellectual Property ◽  
Intellectual Property Rights ◽  
Equivalence Relation ◽  
Network Architecture ◽  
Information Diffusion ◽  
Equivalence Classes ◽  
Information Goods ◽  
Dense Networks ◽  
Diffusion Paths ◽  
Diffusion In Networks

We investigate how information goods are priced and diffused over links in a network. A new equivalence relation between nodes captures the effects of network architecture and locations of sellers on the division of profits, and characterizes the topology of competing (and potentially overlapping) diffusion paths. Sellers indirectly appropriate profits over intermediation chains from buyers in their equivalence classes. Links within the same class constitute bottlenecks for information diffusion and confer monopoly power. Links that bridge distinct classes are redundant for diffusion and generate competition among sellers. In dense networks, competition limits the scope of indirect appropriability and intellectual property rights foster innovation.

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