Special Issue on Information Diffusion in Online Social Networks (IDOSN)

in Special Issue   Posted on August 13, 2017 

Information for the Special Issue

Submission Deadline: Wed 31 May 2017
Journal Impact Factor : 2.644
Journal Name : Journal of Computational Science
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/journal-of-computational-science/call-for-papers/special-issue-on-information-diffusion-in-online-social-netw
Journal & Submission Website: https://www.journals.elsevier.com/journal-of-computational-science

Special Issue Call for Papers:

Special Issue on Information Diffusion in Online Social Networks (IDOSN)

Information diffusion research originates from the study of the spread of infectious disease among a population. The process of diffusion of various types of information, like technological innovations, news, topics, and opinions, is described as a contagion that spreads from node to node like an epidemic.

As online social networks (OSN) are emerging and flourishing, massive amounts of data are produced and consumed in a rapid rate. This rapid production and consumption of large-scale OSN data bring two new challenges to the study of information diffusion. First, events (topics), issues, rumors, etc. happen and evolve very quickly in OSN. Analyzing and modeling this fast diffusion of these types of information, and eventually detecting and predicting diffusion outbreaks, have attracted a great deal of research interests. Second, due to the huge volume of OSN big data, researchers have recently focused on how to extract valuable information from OSN big data to analyze diffusion and on how to accelerate computation speed when dealing with large-scale diffusion network.

Information diffusion in OSN plays a fundamental role in the settings that include the spread of technological innovations, word of mouth effects in marketing, and the spread of news, topics, and opinions. The study of information diffusion in OSN has important implications on online marketing, information retrieval, caching and recommendation systems, and rumor containment.

This special issue aims to push the state of the art in all facets of information diffusion in online social networks, in order to develop innovative ideas fostering the design of the new generation of social network platforms and their services. Special attention is expected in how to deal with OSN big data for studying information diffusion. Furthermore, we encourage interdisciplinary research to engender cross-fertilization of different disciplines (computer science, sociology, and anthropology). Topics of interest include, but are not limited to:

  • Information diffusion analysis and modeling
  • Diffusion source identification and locating
  • User behavior and influence analysis
  • Network structure and community evolution analysis
  • Popularity evolution analysis and prediction
  • Topic evolution tracking and modeling
  • Event tracking and detection
  • Classification, ranking, summarization, and recommendation for information diffusion
  • Large-scale diffusion network analysis
  • Information retrieval in OSN
  • OSN big data analysis and management
  • OSN data parallel computing
  • OSN virtual data management and processing


Submission Instructions

All submitted papers must be clearly written in English and contain only original work, which has not been published by or is currently under review for any other journal or conference. Authors should prepare their manuscript according to the Instructions for Authors available from the online submission page of Journal of Computational Science. All papers submitted to this Special Issue will undergo the standard peer-review procedures of Journal of Computational Science. All manuscripts should be submitted through the Elsevier Editorial System: https://www.evise.com/profile/#/JOCS/login. Authors should select \”SI: IDOSN\” when reaching step of selecting an article type name in this special issue submission process. For further information, please contact the guest editor of this special issue: Dr. Ying Hu at [email protected] 


Important Dates

Full paper submission deadline: May 31th, 2017

First round decision: Aug 15th, 2017

Final decision: Dec 15th, 2017

Expected publication: Spring 2018


Guest Editors

Marco Aeillo, University of Groningen, Netherlands

Email: [email protected]

Changjun Hu, University of Science and Technology Beijing, China

Email: [email protected]

Ying Hu, University of Science and Technology Beijing, China

Email: [email protected]


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