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Title:
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A MODEL OF DIFFUSION PARAMETER CHARACTERIZING SOCIAL NETWORKS |
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Author(s):
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Khaled Mahdi , Maytham Safar , Sadegh Torabi |
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ISBN:
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ISSN: 1645-7641 |
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Editors:
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Pedro Isaías |
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Year:
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2009 |
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Edition:
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V VII, 1 |
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Keywords:
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Diffusion, Social Network, Adoption rate, Penetration depth, Bimodal map |
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Type:
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Journal Paper |
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First Page:
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136 |
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Last Page:
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151 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We introduce a new diffusion property to characterize different models of social networks; the Degree
of Diffusion a . The degree of diffusion a introduced in this work is a totally new parameter. It
relates the ratio of adopters over the non-adopters to the penetration depth in a diffusion process over a
social network. It predicts the future possible adopters within any diffusion process. Each social network
model is found to have a different diffusion characteristic value: Random a =148, Small-World
a =4.56 and Scale-Free a =1.50. A case study of a Real Social Network (Virtual Friendship Network)
is found to have a value of a =29.58 which characterizes the network to be between Random and a
Small-World network models |
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