DSONAM'20: The 1st International Workshop on Data-driven Social Network Analysis and Mining: Algorithms and Applications Mercure Exeter Rougemont Hotel Exeter, UK, October 15-17, 2020 |
Conference website | http://www.cqu-sns-lab.com/dsonam2020/ |
Submission link | https://easychair.org/conferences/?conf=dsonam20 |
Submission deadline | July 20, 2020 |
In recent years, with the flourish of online social media such as Facebook, Twitter, Weibo, TikTok, etc, the study of social networks has attracted a lot of researchers and finds its applications in many scenarios, such as social advertising, location-based social recommendation, popularity prediction, influential individual detection, et al. Benefit from the intelligent mobile devices, people are connecting more closely with each other than every before and are generating data at an unprecedented speed. These data include social connections, texts, images, audios, videos, rating data, geographic information, etc, both structured and unstructured. The variety and huge volume of available social big data has brought new challenges to the study of social network analysis and mining algorithms and applications.
DSONAM, standing in a data-drive point of view, aims to discuss and investigete the theories and methodologies of algorithms and applications realated to social networks from different disciplines such as computer science, data mining, machine learning, network science, sociology, and statistics in order to provide new insights on data-driven soial networks analysis and mining.
We sincerely invite researchers and practitioners to share their ideas, innovations, research achievements and solutions related to algorithms and applications of social networks analysis and mining. This workshop is co-located with IEEE (ISPA-2020, BDCloud-2020, SocialCom-2020, SustainCom-2020) International Conferences to be held in Exeter, England, UK, 15-17 October 2020.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
Each paper is limited to 8 pages including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can refer to the IEEE Computer Society Proceedings Author Guidelines at the following web page: https://www.ieee.org/conferences/publishing/templates.html
Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press. At least one of the authors of any accepted paper is requested to register the paper at the conference.
List of Topics
- Network representation learning on social networks;
- Graph neural network and deep learning from social network data;
- Knowledge graph related algorithms and applications;
- Location-based social networks analysis and mining;
- Machine learning and data mining from multimedia in social networks;
- Network-based models and optimization algorithms;
- Social influence analysis and information diffusion;
- Recommendations and information retrieval in social networks;
- Scalable models and algorithms for handling large-scale social network data;
- Data-driven social network visualization;Privacy, security, and robustness of social networks;
- Data-driven network models and applications such as intelligent transport systems, financial risk analysis, mobile malware detection, etc.
Committees
Work chairs
- Jiaxing Shang, Chongqing University, China
- Liang Zhao, Shenyang Aerospace University, China
- Zhaoguo Wang, Tsinghua University, China
- Qian Zhu, Northeastern University, China
Organizing committee
- Jiaxing Shang, Chongqing University, China
- Liang Zhao, Shenyang Aerospace University, China
- Zhaoguo Wang, Tsinghua University, China
- Qian Zhu, Northeastern University, China
Venue
The conference will be held in Mercure Exeter Rougemont Hotel, which will collacate the ISPA-2020, BDCloud-2020, SocialCom-2020 and SustainCom-2020 conferences.
Contact
All questions about submissions should be emailed to shangjx@cqu.edu.cn