User location information contributes to in-depth social network data analytics. Discovering physical locations of users from their online media messages helps us to bridge the online and offline worlds. This also supports many real-life applications like emergency reporting, disaster management, location-based recommendation, location-based advertisement, region-specific topic summarization, and disease outbreak monitoring. For instance, the social distance has played a key role to reduce the Covid19 outbreak. However, location information is not always available because most users may not clearly annotate their locations in user profiles. Recent research trends intend to incorporate multiple types of data including text data, linked data, sensor data, as well as auxiliary insightful feature data. These data generate the linked and dynamic network data, which can be utilized together to learn and infer the user locations in different applications.
However, the existing techniques like recurrent neural network and generative adversarial network are still expensive to train the network models. It is more challenging to handle the dynamics of the networks for particular tasks, particularly when the data distribution and the types of data are not even. Furthermore, the diverse location inference tasks in real applications make the issue being more complex, e.g., next-visit location, event-based location, shopping location, indoor location, web location, etc. As such, novel multi-model dynamic network learning techniques expect to be investigated.
This special issue focuses on emerging techniques and trendy applications of real-time dynamic network learning in fields such as neural network, dynamic network, spatial feature pattern recognition, and active learning.
Topics of Interests
The topics of this special issues include but not limited to:
Dynamic network learning
Spatial feature pattern extraction and learning
Location inference modelling
Ensemble learning for location prediction
User location profiling
Indoor location inference and learning
Location concept reasoning and learning
Spatial modelling and reasoning
Spatial information integration
Benchmarking study and novel applications of location inference
Paper submission deadline: 15 October, 2020
Initial review feedback: 20 December, 2020
Acceptance: 15 March 2021
Publication of the special issue: June, 2021
The website link of Neurocomputing is https://www.sciencedirect.com/journal/neurocomputing and before submission, authors should carefully read over the journal’s Author Guidelines, which are located at https://www.elsevier.com/journals/neurocomputing/0925-2312/guide-for-authors. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://ees.elsevier.com/neucom/default.asp
When submitting papers, authors must select SI: Dynamic Network Learning as the article type.
Jianxin Li, Deakin University, Australia, Jianxin.firstname.lastname@example.org
Aixin Sun, Nanyang Technological University, Singapore, email@example.com
Ziyu Guan, Xidian University, China, firstname.lastname@example.org
Muhammad Aamir Cheema, Monash University, Australia, Aamir.email@example.com
Geyong Min, The University of Exeter, United Kingdom, firstname.lastname@example.org
Biographies of Guest Editors:
Jianxin Li received the PhD degree in computer science from the Swinburne University of Technology, Australia, in 2009. He is an Associate Professor in Data Science and the director of the Smart Networks Lab at the School of Information Technology, Deakin University. His research interests include graph database query processing & optimization, social network analytics & computing, complex network data representation learning traffic, personalized online learning analytics, route planning and recommendation in traffic network, outlier detection using machine learning and deep learning. He has published over 80 peer-reviewed articles in international journals and conferences. Jianxin is also a grant assessor in Australia Research Council in Discovery Programs and Linkage Programs. He is the editorial board member in Information Systems, and also serves as the invited reviewer for multiple international journals like The VLDB Journal, IEEE TKDE, Information Systems, and technical program committee members in many top international conferences like PVLDB, ICDE, AAAI and IJCAI. https://www.deakin.edu.au/about-deakin/people/jianxin-li
Aixin Sun is an Associate Professor and Assistant Chair (Academic) at the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He has been a faculty member of SCSE since 2005 and was the Assistant Chair (Admissions and Outreach) from 2016 to 2020. He is a member of Singapore Data Science Consortium (SDSC) Technical Committee, and SDSC institution representative of NTU. His current research interests include information retrieval, text mining, social computing, and digital libraries. He has published more than 150 papers in major international journals and conferences. According to Google Scholar, his papers have received more than 8000 citations, with h-index 45. Dr. Sun is an associate editor of Neurocomputing, editorial board member of Journal of the Association for Information Science and Technology (JASIST), and editorial board member of Information Retrieval Journal. He has served as the demonstration track co-chair for SIGIR2020, ICDM2018, CIKM2017, PC co-chair for AIRS2019, and general chair for ADMA2017. He has also served as Senior PC member or PC member for many conferences including SIGIR, WWW, WSDM, AAAI, and IJCAI. https://www.ntu.edu.sg/home/axsun/
Ziyu Guan is currently a full professor in the Xidian University. He acquired support from the National Excellent Youth Science Foundation in 2015. He received the BS and PhD degrees in Computer Science from Zhejiang University in 2004 and 2010, respectively. His research directions include social media, data mining and machine learning. He has published more than 60 high quality papers in top international journals/conferences, such as TKDE, TIP, VLDB, SIGMOD, SIGIR, ICDE, WWW, AAAI, IJCAI, CVPR and SIGKDD. He is currently an associated editor for Neurocomputing and the International Journal of Machine Learning and Cybernetics. He is serving in the program committees (PC member or Senior PC member) of related high-level international conferences, e.g. IJCAI, AAAI, SDM, NIPS, CIKM. https://web.xidian.edu.cn/zyguan/paper.html
Muhammad Aamir Cheema is currently an ARC Future Fellow and Associate Professor at Monash University. He was a Lecturer at Monash from Nov-2013 to Dec-2015 and Senior Lecturer from 2016-2018. Prior to this, he was a Research Fellow (2011-2013) at School of Computer Science and Engineering at The University of New South Wales (UNSW), Australia. He obtained his Ph.D. degree (2008-2011) under the joint supervision of Prof. Xuemin Lin and Prof. Wei Wang from UNSW, Australia. He received Masters by Research degree in Computer Science and Engineering from UNSW, Australia (2005-2007) under the supervision of Prof. Xuemin Lin. He completed Bachelor of Electrical Engineering from UET Lahore, Pakistan, from 2001 to 2005. He is the recipient of 2012 Malcolm Chaikin Prize for Research Excellence in Engineering, 2013 Discovery Early Career Researcher Award, 2014 Dean’s Award for Excellence in Research by an Early Career Researcher, 2018 ARC Future Fellowship, 2018 Monash Student Association Teaching Award, and 2019 Victorian Young Tall Poppy Science Award. He has also won two CiSRA best research paper awards (in 2009 and 2010), two “one of the best papers of ICDE” (in 2010 and 2012), and two best paper awards at WISE 2013 and ADC 2010, respectively. He is an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE). Some of his other service roles include PC co-chair for ADC 2015, ADC 2016, ACM SIGSPATIAL Workshop ISA 2016 & 2018, and International Workshop on Social Computing (IWSC) 2017, proceedings chair for ICDE 2019 and DASFAA 2015, tutorial chair for APWeb 2017 and publicity co-chair for ACM SIGSPATIAl 2017 & 2018. https://research.monash.edu/en/persons/aamir-cheema
Geyong Min is the Professor in the Department of Mathematics and Computer Science, University of Exeter, UK. He is the Chair and Director of High Performance Computing and Networking (HPCN) Research Group at the University of Exeter. His main research interests include Next-Generation Internet, Analytical Modelling, Machine Learning, Cloud Computing, and Big Data. Prof. Min holds a world-class research track record of publications in the top international journals and at the prestigious conferences. He has produced more than 200 research publications including 2 edited books, 18 book chapters, 5 conference proceedings, and 100 papers in the leading international journals including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Multimedia, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Vehicular Technology, IEEE Network, IEEE Intelligent Systems, IEEE Internet Computing, and ACM Transactions on Embedded Computing Systems, as well as 100 papers at the reputable international conferences, such as SIGCOMM-IMC, ICDCS, IPDPS, GLOBECOM, and ICC. He was the recipient of five Best Paper Awards from IEEE GreenCom’2013, TrustCom’2010, CSE’2009, ICAC’2008, and AINA’2007 conferences, respectively. He was invited to deliver 7 keynote speeches and 2 invited talks at International conferences in the area of High Performance Computing and Networking. Prof. Min is an Editorial Board member of 8 international journals including IEEE Transactions on Computers and serves as the Guest Editor for 18 international journals. He has chaired/co-chaired 30 international conferences /workshops and served as the committee member of 120 professional conferences/workshops. He was awarded the Outstanding Leadership Awards from IEEE International conferences HPCC’2012, IUCC’2011, CIT’2010, ScalCom’2009, HPCC’2008 and one Outstanding Service Award from ISPA’2006. https://emps.exeter.ac.uk/computer-science/staff/gm321#