Social network analysis and mining techniques are being widely applied in industrial settings. In many cases such techniques are incubating and defining new industry sectors. Industry research in related areas is growing fast and a lot of exciting ideas, and innovative techniques and applications originated from these industry research activities.
The Industrial Track of the 2017 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2017) seeks submissions in all submission categories (8-page full papers, 4-page short papers, and 2-page extended abstracts) to showcase recent advances in social network analysis and mining research with direct industry relevance, to discuss emerging trends and challenges with practical implications, and to facilitate interactions between academia and industry in this vital area of study of growing interests.
All papers submitted to ASONAM 2017 Industrial Track will be peer-reviewed. Compared to the ASONAM regular track, Industrial Track papers do not necessarily need to contain major methodological advances, algorithmic contributions, or rigorous experimental validation. Rather, the emphasis will be on industrial innovations, clear practical relevance, interesting lessons learned through significant practice, or new classes of applications which might open up new venues for interesting academic work. Works-in-progress papers are also welcomed.
Contributions from both industry R&D groups and the academia are welcome. Note that industry should be broadly interpreted in this call, encompassing both private and public sectors.
In many related top-rated conferences, papers presented at the industry tracks tend to draw large audience and generate interesting discussions, and many among them become well-cited work down the road. In addition to regular presentation-based industry track sessions at the conference, we will also organize an all-inclusive Industry Poster Session to encourage exchange of ideas between academic researchers, industry researchers, and practitioners. Depending on the availability of presentation slots, a portion of accepted Industry Track papers might be scheduled for poster presentation only. In addition, we will also organize an Industry System Demo Session.
Industry teams that plan to give a Poster presentation or show a Demo but do not have full or short paper submissions, are requested to contribute 2-page extended abstracts, which will be reviewed and, if accepted, will be included in the conference proceedings. For authors planning to show a Demo, a document describing the demo and the requirements for the demo, will be solicited later after the Demo is accepted. Accepted authors for posters will be required to create a poster to be displayed in the conference.
We welcome submissions on the following, but not exclusive, topics:
- Data mining of big data that come from business products or data
- Consumer-driven data analytics from consumer products, services or behavior traces
- Inferring customer and social behavior from social media
- New applications and services arising from big data, social networks and social media
- Methodologies and frameworks for mining and analyzing data from business products, big data and social media
- Security and privacy issues in mining and analyzing personal data
- Social media, social networks and big data usage studies
Industry-Track Chairs:
- Qi He LinkedIn Inc., USA
- Gang Li, Deakin University, Australia
- Jiabin Zhao Cisco Systems, Inc., USA
