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2017 | OriginalPaper | Chapter

Identifying Key Player Using Sum of Influence Probabilities in a Social Network

Authors : Ngo Thanh Hung, Huynh Thanh Viet

Published in: Future Data and Security Engineering

Publisher: Springer International Publishing

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Abstract

There have been a number of researches on finding key players. This paper proposes a new approach to discover key players based on the theory of probability, according to which the probability of successful diffusion of an innovation through a social network is applied. This work presents a formula for measuring influence probability or probability of successful propagation of an innovation from a person to another through the network, proposes a definition of key player, based on sum of influence probabilities. Proposed definition completely fits with the Independent Cascade Model of diffusion process in a social network. It would be easy for understanding and applying, especially in marketing domain, in which effectiveness of each marketing campaign is often considered as total number of adoptions of a new product or innovation through the campaign.

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Metadata
Title
Identifying Key Player Using Sum of Influence Probabilities in a Social Network
Authors
Ngo Thanh Hung
Huynh Thanh Viet
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-70004-5_32

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