***** To join INSNA, visit http://www.insna.org ***** CALL FOR PAPERS IEEE Access Special Section on Advanced Big Data Analysis for Vehicular Social Networks Submission Deadline: 31 March 2018 https://urldefense.proofpoint.com/v2/url?u=http-3A__ieeeaccess.ieee.org_special-2Dsections_advanced-2Dbig-2Ddata-2Danalysis-2Dvehicular-2Dsocial-2Dnetworks_&d=DwIFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=g0gPolgvpySMsgaSqlxip_Z94TDFQ7d2_WgkEfmzTjU&s=wHlPIEYJm4LGR4uWQ2EZQLptpVmnbDJyD5qfjWS0fak&e= 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: Architecture, strategies, and algorithms for VSNs Network science for VSN big data Big data-driven recommendation in VSNs IoT and VSNs Cross-layer design and optimization in VSNs Human behavior based on big data in VSNs Human mobility prediction and visualization leveraging big data VSN big data analysis for urban computing and decision-making Wireless communication and vehicular social networking in VSNs Socially-aware intelligent transportation system Security and privacy issues in VSNs Mobility modeling and big data mining in VSNs Cooperative communication in VSNs Entertainment on roads/video and gaming in VSNs Data delivery reliability and network efficiency in VSNs Data privacy and security for VSNs Transportation optimization using VSN big data Traffic control and management based on VSN big data Transportation visualization based on VSN big data Community activity prediction based on VSN big data analysis We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles. References:  Azizur Rahim, Xiangjie Kong, Feng Xia, Zhaolong Ning, Noor Ullah, Jinzhong Wang, Sajal K. Das. Vehicular Social Networks: A Survey, Pervasive and Mobile Computing, 43, Jan 2018, pp: 96-113. DOI: 10.1016/j.pmcj.2017.12.004  Zhaolong Ning, Feng Xia, Noor Ullah, Xiangjie Kong, and Xiping Hu. Vehicular Social Networks: Enabling Smart Mobility, IEEE Communications Magazine, May 2017. DOI: 10.1109/MCOM.2017.1600263 Associate Editor: Xiangjie Kong, Dalian University of Technology, China Guest Editors: Michael Sheng, Macquarie University, Australia Alexey Vinel, Halmstad University, Sweden Saeid Abolfazli, YTL Communications, and Xchanging, Malaysia Xia Hu, Texas A & M University, USA Feng Xia, Dalian University of Technology, China IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland Paper submission: Contact Associate Editor and submit manuscript to: https://urldefense.proofpoint.com/v2/url?u=http-3A__mc.manuscriptcentral.com_ieee-2Daccess&d=DwIFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=g0gPolgvpySMsgaSqlxip_Z94TDFQ7d2_WgkEfmzTjU&s=t60H0qf7IxWWULC9r0ZI6vjTzuWMlxTUT91u1xiCblM&e= For inquiries regarding this Special Section, please contact: [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.