The 7th International Workshop on Application of Big Data for Computational Social Science (ABCSS2022)
Despite the progress of traditional social science, modern social science is facing a serious paradigm shift due to the development of computer and Internet technologies. Human behavior and social phenomena is possible to be quantified by big data digitally tracing online activities and mobility records at a granular level. In some cases, big data can be analyzed using technologies evolving in the natural sciences, such as physics, chemistry, and biology. Experimental data and multiple results from theoretical and computational simulations complement them. Both theoretically and analytically grounded insights may open new doors of computational social sciences. From this perspective, we hold a series of annual workshops on application of big data for computational social science for several years. The scope of the workshop includes, but is not limited to, big data applications, big data collection and use, an integrated framework for theory, simulation, statistics, and experiments.
DATE & PLACE
November 17-20, 2022. (Niagara Falls, Canada)
In conjunction with the 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’22)
Our workshop will be held on November 17.
RESEARCH TOPICS
- Application of Sociology/Sociophysics using Big Data
- Application of Econometric/Econophysics using Big Data
- Social Media Data analyses from economic/political/social perspective
- Informatics using social Big Data
- Marketing science using social Big Data
- Business analytics using Big Data on consumer behavior
- Culturomics and art management
- Analysis of reputation of entertainment using Big Data
ACCEPTED PAPERS
The 6 papers will be presented in our workshop were carefully reviewed and selected.
- Characterizing the nature of trust & misinformation on Twitter (Bryan Boots and Steve Simske)
- Developing a Dataset for Mining Reviews in Tweets focusing on Celebrities’ Aspects (Kotoe Sugawara and Takehito Utsuro)
- Investigating Users’ Motives for Engaging in Flaming by Analyzing Despise Tweets (Wonseok Lee, Takanori Komatsu, and Fujio Toriumi)
- Comparative Analysis of Information Spreading Focused on Topics and Emotions via Temporal Point Process (Kennosuke Yoshida and Takayasu Fushimi)
- Visualization and Extraction of Important Structural Changes via Dynamic Hypergraph Embedding (Shuta Ito and Takayasu Fushimi)
- A Improving Recommendation Diversity by Maximizing Semantic Volume (Atom Sonoda, Fujio Toriumi, and Hiroto Nakajima)
IMPORTANT DATES
| August |
Workshop Papers submission |
| September 18, 2022 | Notification of Acceptance/Rejection |
| Author Registration Deadline | |
| Camera-ready Submission | |
| November 17, 2022 | Workshops |
This schedule is the same for all workshops and special sessions.
SUBMISSION
We accept papers of up to 8 pages. Submitted papers will undergo a peer review process, coordinated by the Program Committee Members of our workshop.
– Paper Submission Page
Submitted papers should be formatted to the IEEE Conference Proceedings format (see link to below).
– IEEE Manuscript Templates for Conference Proceedings
All registered papers that presented in this workshop will be submitted to IEEE Xplore with main conference papers, and will be submitted into some indexing system such as Web of Science, Scopus, DBLP and others.
Main Chairs
- Fujio Toriumi, The University of Tokyo, Informatics
- Isamu Okada, Soka University, Informatics
- Hiroki Takikawa, The University of Tokyo, Sociology
- Mitsuo Yoshida, University of Tsukuba, Informatics
Drop us an email at abcss [at] css-japan.com if you have any questions.
Program Committee Members
- Kimitaka Asatani, The University of Tokyo
- Satoshi Kurihara, Keio University
- Takayuki Mizuno, National Institute of Informatics
- Mao Nishiguchi, The University of Tokyo
- Masaru Nishikawa, Tsuda University
- Takeshi Sakaki, Hotto Link Inc. / The University of Tokyo
- Yoshimichi Sato, Tohoku University / Kyoto University of Advanced Science
- Yoshihiko Suhara, Grammarly, Inc.
- Takahisa Suzuki, Tsuda University
- Masanori Takano, CyberAgent, Inc.
- Shinichi Yamaguchi, GLOCOM
- Hitoshi Yamamoto, Rissho University