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Towards Energy Efficient Cloud Computing: Research Directions and Methodological Approach Read chapter Read first chapter

2022 | OriginalPaper | Chapter

15. Mining Active Influential Nodes for Finding Information Diffusion in Social Networks

Authors : Ameya Mithagari, Radha Shankarmani

Published in: IoT and Cloud Computing for Societal Good

Publisher: Springer International Publishing

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Abstract

The spread of information through the network is called as information diffusion. It is necessary to identify influential nodes to initiate the diffusion process. Most popular models identify influential users but do not consider the activeness of the user; therefore, the results obtained are non-realistic. The proposed model, i.e., Active Influential Node Miner (AINM), can identify active influential nodes considering topological structure and activeness over a period of time in a temporal environment. This is achieved by ant behavior based algorithm incorporated with proposed edge activation probability initializer. The experimental results show AINM that provides a balanced and meaningful spread of information over the network than other considered models.

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Metadata
Title
Mining Active Influential Nodes for Finding Information Diffusion in Social Networks
Authors
Ameya Mithagari
Radha Shankarmani
Copyright Year
2022
Book
IoT and Cloud Computing for Societal Good

Print ISBN: 978-3-030-73884-6

Electronic ISBN: 978-3-030-73885-3

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-73885-3_15

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