With the rapid development of broadband wireless networks and location sensing technologies, Mobile Social Networks (MSNs) pervade many aspects of our daily lives. By incorporating the spatial dimension with social dimension, MSNs foster many interesting and valuable applications and analysis, such as location recommendation service, personal health care, smart cities, location-based marketing, community discovery, and group behaviour analysis. MSN is influencing our societal and cultural norms, and transforming the method we acquire and share information and the way we communicate with others. However, these mobile social systems are characterised by complex network architectures and abundant contextual information, due to the heterogeneous access techniques and massive amount of data generated from social services and social media streams. Moreover, distinguished from general social networking and computing, wireless network characteristics, social factors, contextual information and insights, human behaviour, security and privacy should be taken into account together to understand and improve the MSN systems, and thereby making MSN a multidisciplinary and interdisciplinary challenge.
MSNCom workshop is organised with this challenge in mind, aiming to address a wide spectrum of research challenges and key issues in MSNs. Of particular interests are cutting-edge research in the fields of wireless communication, network architecture, social computing, mobile social services and applications, social big data analysis, social knowledge mining, security and privacy, and other related areas.
MSNCom-2017 will continue the success of MSNCom-2015 which was held in Liverpool, UK. The workshop aims to bring the research community and industry practitioners together and foster a cross-disciplinary scientific forum and provide unique opportunities for sharing new results and discussing emerging directions focused around mobile social networking and computing.
Architecture of mobile social systems
Scalable data-centric wireless network architecture
Information-centric networking for MSN
Heterogeneous wireless networks in 5G
Multimedia communications over wireless
Cross-layer design and network optimisation for MSN
Green wireless network architectures and energy-efficient communications
Mobile and wearable social networks and systems
Performance evaluation of social media, services and systems
Interoperability between future wireless networks and MSN
Emerging MSN applications and services
System prototypes, real deployments and experimentation
Social and media analysis
Big data analytics in MSN
Large-scale social data computing
Data mining and machine learning techniques for MSN
Recommendation and inference techniques
Pattern recognition and trend prediction algorithms
Analysis and mining for location-based social data
Social network modeling and issues
Processing of social media stream
Cloud computing for MSN
Trust and reputation modeling
Security and privacy in MSN
06月21日
2017
06月23日
2017
初稿截稿日期
终稿截稿日期
注册截止日期
留言