Submission Deadline: 31 August 2018
IEEE Access invites manuscript submissions in the area of Advanced Big Data Analysis for Vehicular Social Networks.
Vehicular Social Network (VSN) is a mobile communication network formed by the combination of relevant concepts and features from two different fields, i.e., Social Networks (SN) and Vehicular Ad-hoc Networks (VANET). Based on Social Network Analysis (SNA), these interdependencies of network entities can be exploited to enhance Quality of Service (QoS) for perspective applications. This notion of SNA and its applications have recently attracted much attention from the research community. With the pervasive applications of intelligent equipment such as GPS devices, traffic cameras, smart cards, smartphones and road deceleration devices, multisource big data in VSN are more easily collected than before. Analyzing the regularities hidden in VSN big data has been a hot research field associated with transportation management, urban planning, epidemic control, mobile platform application, and so on. Significant improvements could be achieved by exploiting social behaviors of commuters based on VSN big data analysis.
VSN is an emerging field which crosses multiple research disciplines and industry domains, including transportation, information technology, communications, and social sciences. The goal of this Special Section in IEEE Access is to collect articles focusing on big data analysis for a diverse range of VSN applications and services. We also welcome survey articles on this topic.
The topics of interest include, but are not limited to:
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Xiangjie Kong, Dalian University of Technology, China
Relevant IEEE Access Special Sections:
IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
Paper submission: Contact Associate Editor and submit manuscript to:
For inquiries regarding this Special Section, please contact: email@example.com