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Message Spreading Model over Online Social Network with Multiple Channels and Multiple Groups

Authors:
Sungmin Hwang
Kyungbaek Kim

Keywords: Message spreading; Online social networks; Multiple Channels; Multiple Groups

Abstract:
Understanding the characteristics of message spreading over online social network is important for estimating the influence of message initiated from arbitrary users. Past researches present some models such as independent cascade model and linear threshold model, to explain the message spreading. Recent studies show many variations of previous models focused on different issues. In this paper, we focus on multiple channels that are used for communicating with each other, and multiple groups that react differently to the message coming from each channel, in order to observe more detailed aspect of message spreading such as spreading speed or chances to accept the message. Considering these properties, we propose a new message spreading model that has multiple member groups and multiple channels. We examine the impact of channel and group preference in message spreading by conducting extensive simulations of our suggested model. Through the simulations, we observed that considering multiple channels and multiple groups explains the speed and the coverage of message spreading in more detail.

Pages: 124 to 129

Copyright: Copyright (c) IARIA, 2014

Publication date: July 20, 2014

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-361-2

Location: Paris, France

Dates: from July 20, 2014 to July 24, 2014