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Computational social science

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The analysis of vast quantities of historical newspaper and book content have been pioneered in 2017, while other studies on similar data showed how periodic structures can be automatically discovered in historical newspapers. A similar analysis was performed on social media, again revealing strongly
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As an interdisciplinary area, scholars come from many different established fields. However, there seems to be a shared ethos among them that the field ought to integrate knowledge across traditional scholarly boundaries. However, Nelimarkka proposes that five distinct archetypal approaches to
160:. It is a multi-disciplinary and integrated approach to social survey focusing on information processing by means of advanced information technology. The computational tasks include the analysis of social networks, social geographic systems, social media content and traditional media content. 1001:
Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, A.-L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). Social science. Computational social science. Science, 323, 721–723.
129:). In literature, CSS is referred to the field of social science that uses the computational approaches in studying the social phenomena. On the other hand, SSC is the field in which computational methodologies are created to assist in explanations of social phenomena. 650:
Kirby, Kathryn R.; Gray, Russell D.; Greenhill, Simon J.; Jordan, Fiona M.; Gomes-Ng, Stephanie; Bibiko, Hans-Jörg; Blasi, Damián E.; Botero, Carlos A.; Bowern, Claire; Ember, Carol R.; Leehr, Dan; Low, Bobbi S.; McCarter, Joe; Divale, William (2016).
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Based on reviews on the literature, see for example Wang, X., Song, Y., & Su, Y. (2023). Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science. Social Science Computer Review, 41(3), 946–966.
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Turchin, Peter; Brennan, Rob; Currie, Thomas E.; Feeney, Kevin C.; Francois, Pieter; Hoyer, Daniel; Manning, J. G.; Marciniak, Arkadiusz; Mullins, Daniel; Palmisano, Alessio; Peregrine, Peter; Turner, Edward A. L.; Whitehouse, Harvey (2015).
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Seasonal Fluctuations in Collective Mood Revealed by Knowledge Searches and Twitter Posts F Dzogang, T Lansdall-Welfare, N Cristianini - 2016 IEEE International Conference on Data Mining, Workshop on
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Wang, X., Song, Y., & Su, Y. (2023). Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science. Social Science Computer Review, 41(3), 946–966.
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Computational social science work increasingly relies on the greater availability of large databases, currently constructed and maintained by a number of interdisciplinary projects, including:
1109: 225:, an online search engine that charts frequencies of sets of comma-delimited search strings using a yearly count of n-grams as found in the largest online body of human knowledge, the 1040:
and Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621.
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Clio-Infra a database of measures of economic performance and other aspects of societal well-being on a global sample of societies from 1800 CE to the present
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Nelimarkka, M. (2023). Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts. SAGE Publishing.
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Nelimarkka, M. (2023). Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts. SAGE Publishing.
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Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09).
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with the goal of archiving historical information and linking data as well as academic/research institutions around the globe
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Wallach, H. (2018). Computational social science ≠ computer science + social data. Communications of the ACM, 61(3), 42–44.
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Overall, computational social science is a diverse academic enterprise. There are some scholarly works, particularly from
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Ma, Ji; Ebeid, Islam Akef; de Wit, Arjen; Xu, Meiying; Yang, Yongzheng; Bekkers, René; Wiepking, Pamala (February 2023).
362: 181:: the Database of Places, Languages, Culture and Environment, which provides data on over 1,400 human social formations 344: 875:
Roth, Steffen; et al. (2017). "Futures of a distributed memory. A global brain wave measurement (1800-2000)".
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focuses on model building and finding universal laws which govern human behavior in societies, for example
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perceives computational social science through access to new types of data sources, including data from
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Dzogang, Fabon; Lansdall-Welfare, Thomas; Team, FindMyPast Newspaper; Cristianini, Nello (2016-11-08).
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emphasises novel methods and methodological rigorous as the core area of computational social science.
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which seem to hold the discipline together, but beyond that there are more diverse communities.
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is an interdisciplinary academic sub-field concerned with computational approaches to the
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Please help update this article to reflect recent events or newly available information.
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Computational social science articles are published across several journals, such as
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However, there are some venues focused only in computational social sciences:
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Computational social science revolutionizes both fundamental legs of the
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Cioffi-Revilla, Claudio (2010). "Computational social science".
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2022 International Conference on Computational Social Science
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CHIA: The Collaborative Information for Historical Analysis
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Wiley Interdisciplinary Reviews: Computational Statistics
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International Conference on Computational Social Science
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There are two terminologies that relate to each other:
1071:: Computational Social Science Society of the Americas 810:"Content analysis of 150 years of British periodicals" 390:
Springer book series on Computational Social Science
1074: 912:"Discovering Periodic Patterns in Historical News" 148:left behind through social online activities; and 1042:https://doi.org/10.1146/annurev-soc-121919-054621 1352: 1059:: European Social Simulation Association portal 814:Proceedings of the National Academy of Sciences 547: 476: 319: 215:Human Relations Area Files eHRAF World Cultures 590: 1110: 557:e-Science for Digital Development: ICT4ICT4D 877:Technological Forecasting and Social Change 553: 1117: 1103: 1124: 1038:https://doi.org/10.1177/08944393211058112 1025:https://doi.org/10.1177/08944393211058112 953: 935: 851: 833: 686: 676: 639:https://escholarship.org/uc/item/9qx38718 504: 494: 204:International Institute of Social History 187:, an archaeological database created by 19:For broader coverage of this topic, see 1004:https://doi.org/10.1126/science.1167742 386:Journal of Computational Social Science 69:and studies using interactive systems. 1353: 1098: 623:"Seshat: The Global History Databank" 874: 76: 363:Sociological Methods & Research 13: 14: 1387: 1050: 292:Digital society-focused approach 81: 41:, computational media analysis, 1029: 1017: 1008: 995: 991:https://doi.org/10.1145/3132698 983: 970: 903: 868: 801: 783: 765: 751: 740: 728:The Atlas of Cultural Evolution 544:at the University of California 185:The Atlas of Cultural Evolution 169:Seshat: Global History Databank 889:10.1016/j.techfore.2017.02.031 720: 703: 643: 613: 584: 530: 521: 470: 333:Social Science Computer Review 254:computational social science: 72: 1: 1376:Computational fields of study 463: 248: 1361:Computational social science 937:10.1371/journal.pone.0165736 678:10.1371/journal.pone.0158391 320:Academic publication avenues 123:computational social science 27:Computational social science 21:Quantitative social research 7: 711:Atlas of Cultural Evolution 538:. Introduction to e-Science 394: 10: 1392: 1082:. Retrieved June 10, 2015. 980:in Human Activity Analysis 795:Human Relations Area Files 777:Human Relations Area Files 496:10.1007/s11266-021-00414-x 238:University of Pennsylvania 234:Linguistic Data Consortium 210:Human Relations Area Files 18: 1302: 1274: 1251: 1203: 1175: 1132: 747:http://www.chia.pitt.edu/ 302:Social theory perspective 90:This section needs to be 61:or rule-based analysis), 198:University of Pittsburgh 115:social science computing 16:Academic sub-disciplines 835:10.1073/pnas.1606380114 456:Social network analysis 431:Online content analysis 416:Computational sociology 406:Computational cognition 345:Political Communication 327:New Media & Society 156:model building through 39:computational sociology 35:computational economics 1340:Transportation science 791:"eHRAF World Cultures" 759:"Research | IISG" 411:Computational politics 272:Method-driven approach 1371:Computational science 1126:Computational science 540:: From the DT&SC 278:Model-driven approach 245:periodic structures. 152:, especially through 140:, especially through 1185:Electronic structure 709:Peter N. Peregrine, 554:Hilbert, M. (2015). 436:Predictive analytics 259:Data-driven approach 57:approaches (such as 1190:Molecular mechanics 928:2016PLoSO..1165736D 826:2017PNAS..114E.457L 773:"eHRAF Archaeology" 669:2016PLoSO..1158391K 223:Google Ngram Viewer 173:Evolution Institute 154:computer simulation 144:, by analyzing the 1147:Biological systems 734:2019-12-15 at the 446:Social informatics 421:Digital humanities 282:social simulations 189:Peter N. Peregrine 138:empirical research 1348: 1347: 1315:Materials science 1195:Quantum mechanics 570:978-1-905469-54-3 426:Digital sociology 212:eHRAF Archaeology 158:social simulation 150:scientific theory 146:digital footprint 134:scientific method 111: 110: 67:social simulation 51:nonprofit studies 1383: 1238:Particle physics 1218:Electromagnetics 1119: 1112: 1105: 1096: 1095: 1044: 1033: 1027: 1021: 1015: 1012: 1006: 999: 993: 987: 981: 974: 968: 967: 957: 939: 922:(11): e0165736. 907: 901: 900: 872: 866: 865: 855: 837: 820:(4): E457–E465. 805: 799: 798: 787: 781: 780: 769: 763: 762: 755: 749: 744: 738: 724: 718: 707: 701: 700: 690: 680: 647: 641: 637: 627: 617: 611: 610: 588: 582: 581: 579: 573:. Archived from 562: 551: 545: 534: 528: 525: 519: 518: 508: 498: 474: 441:Seshat (project) 382: 351:EPJ Data Science 314:computer science 296:algorithmic bias 106: 103: 97: 85: 84: 77: 63:network analysis 59:machine learning 1391: 1390: 1386: 1385: 1384: 1382: 1381: 1380: 1366:Social sciences 1351: 1350: 1349: 1344: 1298: 1270: 1247: 1199: 1171: 1128: 1123: 1053: 1048: 1047: 1034: 1030: 1022: 1018: 1013: 1009: 1000: 996: 988: 984: 975: 971: 908: 904: 873: 869: 806: 802: 789: 788: 784: 771: 770: 766: 757: 756: 752: 745: 741: 736:Wayback Machine 725: 721: 708: 704: 663:(7): e0158391. 648: 644: 625: 618: 614: 607:10.1002/wics.95 589: 585: 577: 571: 560: 552: 548: 536:DT&SC 7-1: 535: 531: 526: 522: 475: 471: 466: 397: 380: 322: 251: 107: 101: 98: 95: 86: 82: 75: 31:social sciences 24: 17: 12: 11: 5: 1389: 1379: 1378: 1373: 1368: 1363: 1346: 1345: 1343: 1342: 1337: 1332: 1327: 1322: 1317: 1312: 1306: 1304: 1300: 1299: 1297: 1296: 1291: 1286: 1280: 1278: 1276:Social science 1272: 1271: 1269: 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Index

Quantitative social research
social sciences
computational economics
computational sociology
cliodynamics
culturomics
nonprofit studies
data science
machine learning
network analysis
social simulation
scientific method
empirical research
big data
digital footprint
scientific theory
computer simulation
social simulation
Seshat: Global History Databank
Evolution Institute
Peter N. Peregrine
University of Pittsburgh
Human Relations Area Files
Google Ngram Viewer
Google Books
Linguistic Data Consortium
University of Pennsylvania
social media
smart phones
social simulations

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