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Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification Read chapter Read first chapter

2015 | OriginalPaper | Chapter

On the Information Diffusion Between Web-Based Social Networks

Authors : Giannis Haralabopoulos, Ioannis Anagnostopoulos

Published in: Web Information Systems Engineering – WISE 2014 Workshops

Publisher: Springer International Publishing

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Abstract

The topic of Information diffusion has been in the centre of sociology interest for many years. Even before the rise of Online Social Networks (OSNs), social ties and the way the information flows have been studied in traditional real-life social networks. In this paper, we propose the concept of multilayer information flow, by considering every On-line Social Network (OSN) as a separate layer and the information as links connecting these layers. Under such formalization, information is spread from a source layer, while it is diffused in multiple other layers. In order to validate our proposal, experimentations are focused on Reddit and its content, by observing the diffusion of its posts and related content in ImgUr and YouTube.

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previous chapter Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification
next chapter Generic Private Social Network for Knowledge Management
Footnotes
2
Every observed pattern can be found, in the appendix of a draft version of this paper, at http://​arxiv.​org/​abs/​1403.​1486.
 
3
http://​www.​beevolve.​com/​twitter-statistics/​, published results from October 2012.
 
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Metadata
Title
On the Information Diffusion Between Web-Based Social Networks
Authors
Giannis Haralabopoulos
Ioannis Anagnostopoulos
Copyright Year
2015
Book
Web Information Systems Engineering – WISE 2014 Workshops

Print ISBN: 978-3-319-20369-0

Electronic ISBN: 978-3-319-20370-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20370-6_2

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