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A Novel Approach to Information Spreading Models for Social Networks

Authors:
Burcu Sayin
Serap Şahin

Keywords: social network analysis; information spreading; information cascades

Abstract:
Analyzing and modelling the spreading of any information through a social network (SN) is an important issue in social network analysis. The proposed solutions for this issue do not only help with observing the information diffusion, but also serve as a valuable resource for predicting the characteristics of the network, developing network-specific advertising, etc. Up-to-date approaches include probabilistic analysis of information spreading and the information cascade models. In this paper, we propose a hybrid model, which considers an information spreading model, and combines it with cascades and social behavior analysis. We propose a new hybrid usage approach to represent a real-world modelling for the information spreading process.

Pages: 23 to 27

Copyright: Copyright (c) IARIA, 2017

Publication date: November 12, 2017

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-603-3

Location: Barcelona, Spain

Dates: from November 12, 2017 to November 16, 2017