TY  - GEN
N2  - This book contains a selection of the latest research in the field of computational social science (CSS) methods, uses, and results, as presented at the 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.
DO  - 10.1007/978-3-031-37553-8
DO  - doi
AB  - This book contains a selection of the latest research in the field of computational social science (CSS) methods, uses, and results, as presented at the 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.
T1  - Proceedings of the 2022 Conference of the Computational Social Science Society of the Americas /
DA  - 2023.
CY  - Cham :
AU  - Yang, Zining.
AU  - Núñez-Corrales, Santiago.
CN  - H61.3
PB  - Springer,
PP  - Cham :
PY  - 2023.
N1  - 4.1 Experimental Design
ID  - 1482406
KW  - Sciences sociales
KW  - Sciences sociales
KW  - Social sciences
KW  - Social sciences
SN  - 9783031375538
SN  - 303137553X
TI  - Proceedings of the 2022 Conference of the Computational Social Science Society of the Americas /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-37553-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-37553-8
ER  -