Social network and mining research has advanced rapidly with the prevalence of the online social websites and instant messaging social communications systems. In addition, thanks to the recent advances in deep learning, many novel applications with mobile devices and social networks have been proposed and deployed. These social network systems are usually characterized by complex network structures and abundant contextual information. Moreover, by incorporating the spatial dimension, mobile and location-based social networks are now immersed in people’s everyday life via numerous innovative websites. In addition, mobile social networks can be exploited to foster many interesting applications and analysis, such as recommendations of locations and travel planning of friends, location-based viral marketing, community discovery, group mobility and behavior modeling.
Researchers are increasingly interested in addressing a wide spectrum of challenges in mobile social networks to extract useful knowledge and exploiting location-based and contextual information embedded with mobile social networks to find out useful insights. The insights can provide important implications on community discovery, anomaly detection, trend prediction with the applications in many domains, such as recommendation systems, information retrieval, future prediction, and so on. In light of the above crucial need, sophisticated data mining, machine learning, and query processing techniques on both social and spatial dimensions are demanding for extracting representative information from mobile social network. In addition, the data generated from social networks and social media streams at any time in any place have outpaced the capability to process, analyze, and mining those datasets. It is thus imperative to develop scalable and efficient algorithm for processing and mining Big Data generated from mobile social networks. In contrast to other areas in data management and mining, social and human factors are also important and thereby encouraged to be properly included in multidisciplinary and interdisciplinary research of mobile social networks.
Call for Papers
The 5th International Workshop on Mobile Data Management, Mining, and Computing on Social Networks (MobiSocial) will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in data management and mining for mobile social networks.
The topics of interest related to this workshop include, but are not limited to:
- Deep learning for mobile social networks
- Mobile healthcare
- Blockchain for social networks
- Graph mining
- Mobile Sensing
- Contextual mobile social network analysis
- Storing, indexing and querying of graph data
- Distributed graph processing
- Mobile social interaction and personalization search
- Dynamics and evolution patterns of social networks, trend prediction
- Analysis and mining of location-based social networks
- Classification models and their applications in social recommender systems
- Processing of social media stream
- Influence models and their application in social environment
- Competitive viral marketing
- Privacy and security in social network
- Modeling trust and reputation in mobile social networks
- Moving object tracking, indexing and retrieval for social applications
- Location and trajectory mining of social data
- Opinion mining for location related information
- Location privacy, data sharing and security
- Mobile and ubiquitous computing for location-based social networks
- Cloud computing for location-based social data
- Innovative mobile social networking applications
- Multidisciplinary and interdisciplinary research on mobile social networks
．Paper submission deadline:18 Mar 2020 (anywhere on earth)
．Author notification: 18 Apr 2020
．Camera-ready due: 3 May 2020 (firm deadline)
．Workshop: 30 Jun 2020 (tentative)
Authors are invited to submit original manuscripts, neither submitted nor accepted for publication in any other workshop, conference, or journal. The page limits for regular papers are 6 pages, including all figures, tables, and references. The submitted papers must be written in English, and formatted using IEEE submission guidelines (link). The papers and presentations will be in English.
Every submitted paper will be carefully reviewed by at least three Program Committee members to ensure the high quality of the accepted papers. Reviewers are not required to read the appendices and the paper should be intelligible without them. Authors are invited to send the manuscripts through the CMT system. All accepted workshop papers will be published through IEEE Computer Society.
Paper submission deadline: 18 Mar 2020 (anywhere on earth)
Author notification: 18 Apr 2020
Camera-ready due: 3 May 2020 (firm deadline)
Workshop: 30 Jun 2020 (tentative)
MobiSocial 2020 : 5th International Workshop on Mobile Data Management, Mining, and Computing on Social Network will take place in Versailles, France. It’s a 1 day event starting on Jun 30, 2020 (Tuesday) and will be winded up on Jun 30, 2020 (Tuesday).
MobiSocial 2020 falls under the following areas: DATABASE, MACHINE LEARNING, DATA MINING, SOCIAL NETWORK ANALYSIS, etc. Submissions for this Workshop can be made by Mar 18, 2020. Authors can expect the result of submission by Apr 18, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before May 03, 2020 to the official website of the Workshop.
Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.
Other Details of the MobiSocial 2020
Credits and Sources
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