Discovering Influence Hierarchy Based on Frequent Social Interactions

In this paper, we introduce a novel problem of discovering influence hierarchy to organize influential users in a social network into different levels according to their potential of spreading influence. We present a novel approach of discovering influence hierarchy utilizing the temporal aspect and...

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Main Authors: Tennakoon, T. M. G., Nayak, Richi
Format: Conference Proceeding
Language:English
Subjects:
Australia
Correlation
Frequent interaction
Hierarchy
Influence roles
Minimization
Social network
Social network services
Sorting
Time-frequency analysis
Visualization
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Nayak, Richi
description In this paper, we introduce a novel problem of discovering influence hierarchy to organize influential users in a social network into different levels according to their potential of spreading influence. We present a novel approach of discovering influence hierarchy utilizing the temporal aspect and flow direction of interactions among users. The influence hierarchy has the potential to visualize the information flow of the network and identify different roles such as creators, information disseminators, emerging leaders and active followers. It is highly applicable in several domains such as sociology, marketing, political science and disaster management.
doi_str_mv 10.1109/ASONAM.2018.8508260
format conference_proceeding
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subjects Australia
Correlation
Frequent interaction
Hierarchy
Influence roles
Minimization
Social network
Social network services
Sorting
Time-frequency analysis
Visualization
title Discovering Influence Hierarchy Based on Frequent Social Interactions
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