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MobiSocial 2020 : 5th International Workshop on Mobile Data Management, Mining, and Computing on Social Network

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Link: http://www.cs.nthu.edu.tw/~chihya/mobisocial2020/index.html
 
When Jun 30, 2020 - Jun 30, 2020
Where Versailles, France
Submission Deadline Apr 1, 2020
Notification Due Apr 18, 2020
Final Version Due May 3, 2020
Categories    database   machine learning   data mining   social network analysis
 

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

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