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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.

征稿信息

重要日期

2017-03-15
初稿截稿日期
2017-05-15
终稿截稿日期

征稿范围

  • 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

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重要日期
  • 会议日期

    06月21日

    2017

    06月23日

    2017

  • 03月15日 2017

    初稿截稿日期

  • 05月15日 2017

    终稿截稿日期

  • 06月23日 2017

    注册截止日期

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