For more than a century, social networks have been studied in a variety of disciplines including sociology, anthropology, psychology, and economics. The Internet, the social Web, and other large-scale, socio-technological infrastructures have triggered a growing interest and significant methodological advancements in social network analysis and mining. Method development in graph theory, statistics, data mining and machine learning, and statistical mechanics is inspired by new research problems and, in turn, opens up further possibilities for application. These spiraling trends have led to a rising prominence of social network analysis and mining methods and tools in academia, politics, security, and business.
The international conference series on Advances in Social Network Analysis and Mining (ASONAM 2022) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. ASONAM 2022 is intended to address important aspects with a specific focus on emerging trends and industry needs. The conference solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social network analysis and mining along with applications.
Steering Chair
Reda Alhajj, University of Calgary, Calgary, Canada
Honorary-Chair
Christian Jacob, University of Calgary, Canada Frans N. Stokman, University of Groningen, Netherlands
General-Chairs
Nitin Agarwal, University of Arkansas at Little Rock, USA
Zongmin Ma, Nanjing University of Aeronautics and Astronautics, China
Jon Rokne, University of Calgary, Canada
Program Committee Chairs
Jisun AN, Singapore Management University, Singapore
Chelmis Charalampos, University at Albany SUNY, USA
Walid Magdy, University of Edinburgh, UK
Industry-Track Chairs
Masaomi KIMURA, Shibaura Institute of Technology, Japan
Faraz Zaidi, Peel Region, Canada
Jiabin Zhao, Cisco Inc, USA
Workshops Chairs
Mayank Kejriwal, ISI, USA
I-Hsien Ting, National University of Kaohsiung, Taiwan
Giacomo Vaccario, ETHZ, Switzerland
Tutorial Chairs
Carmela Comito, CNR-ICAR and University of Calabria, Italy
Hakim Hacid, Zayed University, UAE
Radu Marculescu, University of Texas, USA
Multidisciplinary Track Chairs
Candice Lanius, University of Alabama in Huntsville, USA
Sandra Mitrovic, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Switzerland
Chris J. Kuhlman, University of Virginia, USA
PhD Forum and Posters Track Chairs
Elio Masciari, University of Naples Federico II, Italy
Deqing Yang, Fudan University, China
Demos and Exhibitions Chairs
Keivan Kianmehr, Amazon Inc., Canada
Tansel Ozyer, Ankara Medipol University, Turkey
Sponsorship Chairs
Thirimachos.Bourlai, West Virginia University, USA
Jalal Kawash, University of Calgary, Canada
Mehmet Kaya, Firat University, Turkey
Peter Peng, University of Calgary, Canada
Publicity Chairs
Buket Kaya, Firat University, Turkey
Kashfia Sailunaz, University of Calgary, Canada
Publication Chairs
Min-Yuh Day, National Taipei University, Taiwan
Panagiotis Karampelas, Hellenic Air Force Academy, Greece
Registration Chairs
Jalal Kawash, Canada
Mehmet Kaya, Turkey
Web Chair
Tansel Ozyer, Ankara Medipol University, Turkey
For more than a century, social networks have been studied in a variety of disciplines including sociology, anthropology, psychology, and economics. The Internet, the social Web, the Internet of Things, sensor networks, other socio-technological infrastructural advancements at large-scale, have triggered a growing interest and significant methodological advancements in social network analysis and mining. Furthermore, method development in graph theory, graph algorithms, statistics, data mining and machine learning, and statistical mechanics is inspired by new research problems. This, in turn, opens up further possibilities for a rich set of applications. These spiraling trends have led to a rising prominence of social network analysis and mining methods and tools in academia, politics, security, and business.
The international conference series on Advances in Social Network Analysis and Mining (ASONAM) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. ASONAM is intended to address important aspects with a specific focus on emerging trends and industry needs. The conference solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social network analysis and mining along with applications.
More specialized topics within ASONAM 2022 include, but are not limited to:
Techniques
- Data collection and quality
- Big data and scalability
- Deep learning and embeddings
- Statistical learning
- Algorithms and techniques
- Visualization
- Modeling and simulation
- Explainable network analysis
Problems
- Centrality and roles
- Community detection
- Link prediction
- Information diffusion
- Influence propagation
- Anomaly detection
- Network macro structures
- Network evolution
- Emergence
- Privacy and security
- Collective behavior
- Crowd sourcing
- Social Recommender Systems
- Misinformation and Misbehavior Analysis and Detection
- Reputation and Trust in Social Networks
- Fairness Bias and Transparency in Social Media
Application domains
- Attributed networks
- Online and offline social networks
- Multirelational, multidimensional, multi-aspect, multilayer networks
- Feature-rich networks
- Time-evolving networks
- Probabilistic networks
- Semantic networks
- Social geography and spatial networks
- Social, cultural, and cyber anthropology
- Policy impact and analysis
- Networks in biology and ecology
- Digital Humanities
To fully embrace the fast-growing and vigorously dynamic trend of social network approaches and applications, ASONAM 2022 is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense.
General areas of interest to ASONAM 2022 include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.
The papers will be reviewed and assessed by the program committee. Full paper manuscripts must be in English with a length of 8 pages using the IEEE two-column template. We solicit also short paper with a maximum length of 4 pages. Submissions should include the title, author(s), affiliation(s), e-mail address(es), and abstract on the first page.
Papers will be accepted for the conference based on the reviewers' comments on their originality, timeliness, significance, relevance, and clarity of presentation. A Best Paper Award ceremony will be organized at the banquet. If the paper is accepted, the paper will appear in the proceedings of the conference if one author presents the paper at the conference and at least one author registers as a full conference participant.
Publications
Accepted and presented papers will be included in the Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE eXplore, and the ACM Digital Library. The conference proceedings will be submitted for El indexing through INSPEC by the IEEE. Proceedings will be included in several indexes, e.g., Web of Science, SCOPUS, etc.
If you have any questions on ASONAM 2022, please send email to asonam2022 (AT) gmail (dot) com.
11月10日
2022
11月13日
2022
初稿截稿日期
初稿录用通知日期
注册截止日期
2019年08月27日 加拿大
2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining2017年07月31日 澳大利亚 Sydney
2017年IEEE / ACM社会网络分析与挖掘进展国际会议2015年08月25日 法国
2015年IEEE/ ACM社会网络分析和挖掘进展国际会议2013年08月25日 加拿大
2013年社会网络分析和挖掘进展国际会议
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