The Analysis and Modelling of Social Networks: Leader Identification and Information Dissemination

Aleksejs Cumiks, Andrejs Romanovs

Abstract


Individuals, who have more connections with others in the social network, can have more chances to influence others. Therefore, this study aims to identify groups of users with maximum joint influential power in order to help companies to conduct online marketing and reputation management. The method proposed in this study can be used to identify influential groups, on the basis of data from SNS. The proposed method will allow building a social network model, which will be  used to simulate different scenarios in order to predict the speed of information dissemination.

Keywords:
Leader identification; modelling; pretopology; social network; social network visualization

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References


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