The 8th International Workshop on Application of Big Data for Computational Social Science (ABCSS2023)
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
October 26-29, 2023. (Hybrid Conference / Venice, Italy)
In conjunction with the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’23)
Our workshop will be held on October 26 at a virtual conference (Zoom).
- 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
The 9 papers will be presented in our workshop were carefully reviewed and selected.
- Analysis of Psychographic Indicators via LIWC and Their Correlation with CTR for Instagram Ads (Kenjiro Inoue and Mitsuo Yoshida)
- Characterizing the Behavior of Healthcare Experts Towards COVID-19 Vaccine on Twitter (Tomoka Nakazato, Yuya Shibuya, and Soichiro Takagi)
- Methods For Determining Emotion In Social Networks (Banu Yergesh, Gulmira Bekmanova, and Lyaila Kenzhina)
- RoBERTa Trained from Scratch on GPS Trajectory Data (Shouji Fujimoto, Atushi Ishikawa, and Takayuki Mizuno)
- STC+K: a Semi-global triangular and degree centrality method to identify influential spreaders in complex networks (SRESTHA SADHU, Amrita Namtirtha, Mariana Curado Malta, and Animesh Dutta)
- Stock Market Simulation by Micro-Macro GAN (Yusuke Naritomi and Takanori Adachi)
- Transitioning to the Digital Generation: An Examination of the GIGA Initiative (2019-) and Usage Patterns of Educational Smartphone Apps (Yasuko Kawahata)
- Visual Insights: Enhancing Online News Maps with Relevant Illustrations (Taichi Nakajima and Takayasu Fushimi)
- When Hub Seeding Works in Influencer Marketing (Makoto Mizuno)
|Workshop Papers submission|
|Notification of Acceptance/Rejection|
|Author Registration Deadline|
|October 26, 2023||Workshops|
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.
- 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.