Random & Distributed Networks


Random & Distributed Networks Random networks represent networks with a very even and normal degree distribution due to the fact that they have been created through a random set of rules A random network is more formally termed the Erdős–Rényi random graph model, so named after two mathematicians who first introduced a set [...]

Random & Distributed Networks 2017-07-19T10:48:27+00:00

Network Centrality


Network Centrality Spiders typically occupy a central location in their web so as to be able to quickly access anywhere in the network Centrality is a measure that tells us how influential or significant a node is within the overall network.View Source This concept of significance will have different meanings depending on [...]

Network Centrality 2017-07-19T10:51:46+00:00

Complex Contagion


Complex Contagion The formation of people's opinions may be seen as a form of complex contagion. Being a product of a number of different sources of influence Complex contagion is the phenomenon in social networks in which multiple sources of exposure to some alteration are required before an individual adopts the change of [...]

Complex Contagion 2017-07-19T10:52:50+00:00

Network Effects


Network Effects The network effect is a key factor behind the adoption of many information and communications technologies where users gain value from others using the same platform The network effect arises when users gain value from others using the same network. The more people that join the more value for everyone else, [...]

Network Effects 2017-07-19T10:54:07+00:00

Multiplex Networks


Multiplex Networks A network map of different road transport networks within China A multiplex network is a network model composed of a multiplicity of overlapping networks that capture the different types of connections between nodes within the network.View Source When analyzing a large system like a metropolitan economy, a corporation or the [...]

Multiplex Networks 2017-07-19T10:55:12+00:00
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