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World Wide Web journal Internet and Web Information Systems
~Special Issue Call for Papers~
PAPER SUBMISSION: Authors are encouraged to submit high‐quality, original work that has neither appeared in, nor is under
consideration by, other journals.
All papers will be reviewed following standard reviewing procedures for the Journal.
Papers must be prepared in accordance with the Journal guidelines: http://www.springer.com/11280 .
Submit manuscripts to: http://WWWJ.edmgr.com. World Wide Web Journal www.Springer.com/11280 Editors‐in‐Chief: M. Rusinkiewicz; Y. Zhang Published by Springer.
Title：Special Issue on Geo-Social Computing GUEST EDITORS:
Guandong Xu University of Technology Sydney, Sydney, Australia, [email protected] Prof. Wen-Chih Peng National Chiao Tung University, Hsinchu, Taiwan, [email protected] Dr. Hongzhi Yin, The University of Queensland, Brisbane, Australia, [email protected] Zi (Helen) Huang The University of Queensland, Brisbane, Australia, [email protected] SCOPE:
This special issue aims to publish research work that covers the full spectrum of geo-social computing including
theoretical, empirical, algorithms, models and design research contributions. The rapid development of Web 2.0,
location acquisition and wireless communication technologies has fostered a pro-fusion of geo-social networks,
such as location-based social networks (LBSNs) and event-based social networks (EBSNs). LBSNs (e.g.,
Foursquare, Yelp and Google Place) provide users an online platform to check-in at points of interests (e.g.,
cinemas, galleries and hotels) and share their life experiences in the physical world via mobile devices. The new
dimension of geographical location implies extensive knowledge about an individual’s behaviors and interests by
bridging the gap between online social networks and the physical world. Moreover, newly emerging EBSNs (e.g.,
Meetup and Plancast) enable users to check-in and share more specific activities/events held in the physical
world, ranging from informal get-togethers (e.g., movie nights and dining out) to formal activities (e.g., culture
salons and business meetings).
Despite the explosion of interest in social computing, this is the first time to call for papers on geo-social
computing. Compared with traditional social computing that only focuses on the social perspective, Geo-Social
Computing introduces a new paradigm combining spatial and social dimension. Geo-social computing is
fundamentally about computing methods and techniques to understand, model, and facilitate both the social
interactions between people and the physical interactions between people and spatial items (e.g., POIs and
events). It will bring many benefits to the improved decision making, accurate mobile targeted advertisement, trip
planning, richer collaborations, and enhanced problem solving capabilities through a better understanding of
human behavior and social interaction in interpersonal, organizational, and societal settings. We welcome
submissions that focus on various computation methods and models to exploit and explore the geo-social data
generated by both users and GPS devices.
Potential topics include but are not limited to the following:
User Profiling
Location-based recommendation
POI Recommendation
Event Recommendation
Community discovery
Social Link Prediction/Friend Recommendation
Information Diffusion in geo-social network
User Mobility Analysis and Modeling
User Linkage Across platforms or devices
Influence Maximization in geo-social networks
Inferring locations of user homes
Inferring Locations of user generated contents (e.g., images, videos and posts)
Collective intelligence
Sentiment Analysis
Spatial data analysis and mining
Team Formation and Collaboration
IMPORTANT DATES: Manuscript Due: October 28, 2017 First Round of Reviews: December 20, 2017 Decision of Acceptance: February 15, 2018 Publication Date: mid 2018
GUEST EDITOR BIOS:
Dr Guandong Xu is an Associate Professor (Reader) at the School of Software and the Advanced Analytics Institute, University of Technology Sydney. His research interests cover Data Mining, Web Analytics, Text Mining, Recommender Systems, Social Network Analysis and Social Media Mining. His research has gained grant funding from Australian and Chinese governments, e.g., ARC and NSFC grants, and projects from industries. In last ten years, he has had over 100+ publications including TOIS, TNNLS, TIFS, TSC, Inf Sci, IEEE-IS, IJCAI, AAAI, WWW, ICDE, ICDM, and CIKM. He is the Assistant EiC of WWW Journal. He
received Australian BigInsight Data Analytics Award in December 2016 due to his significant impact on Best Customer Insights.
Dr Wen-Chih Peng was born in Hsinchu, Taiwan, R.O.C in 1973. He received the BS and MS degrees from the National Chiao Tung University, Taiwan, in 1995 and 1997, respectively, and the Ph.D. degree in Electrical Engineering from the National Taiwan University, Taiwan, R.O.C in 2001. Currently, he is a professor at the department of Computer Science, National Chiao Tung University, Taiwan. Prior to joining the department of Computer Science and Information Engineering, National Chiao Tung University, he was mainly involved in the projects related to mobile computing, data broadcasting and network data management. Dr. Peng published some papers in several prestigious conferences, such as IEEE International Conference on Data Engineering (ICDE), ACM Conference on Knowledge Discovery and Data Mining (ACM KDD), IEEE International Conference on Data Mining (ICDM) and ACM Conference on Information and Knowledge Management (ACM CIKM) and prestigious journals (e.g., IEEE TKDE, IEEE TMC, IEEE TPDS). Dr. Peng has the best paper award in ACM Workshop on location-based social network 2009 and the best student paper award in IEEE International Conference on Mobile Data Management 2011. His research interests include mobile data management, sensor data management and data mining. He is a member of IEEE.
Dr. Hongzhi Yin is now working as a lecturer in data science and an ARC DECRA Fellow (Australia Discovery Early Career Researcher Award) with The University of Queensland, Australia. He received his doctoral degree from Peking University in July 2014. After graduation, he joined the school of ITEE, the University of Queensland. He successfully won the ARC DECRA award in 2015 and obtained an ARC Discovery Project grant as a chief investigator in 2016. His current main research interests include social media analytic, user profiling, recommender system, especially spatial-temporal recommendation, topic discovery and event detection, deep learning. He has published over 40 peer-reviewed papers in prestigious journals and top international conferences including ACM TOIS, IEEE TKDE, ACM TKDD, ACM TIST, ACM SIGMOD, ACM SIGKDD, VLDB, IEEE ICDE, AAAI, WWW, ACM Multimedia and CIKM. He has been actively engaged in professional services by serving as conference organizers, conference PC member and reviewer of more than 10 reputed journals such as VLDB Journal, TKDE, TOIS, TKDD, TWeb, IEEE Transactions on Cybernetics, WWW Journal, Knowledge-based system and etc.
Dr. Huang is an ARC Future Fellow in School of ITEE, The University of Queensland. She received her BSc degree from Department of Computer Science, Tsinghua University, China, and her PhD in Computer Science from School of ITEE, The University of Queensland. Dr. Huang's research interests mainly include multimedia indexing and search, social data analysis and knowledge discovery.
