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2017 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Andrew Pilny, Marshall Scott Poole

Erschienen in: Group Processes

Verlag: Springer International Publishing

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Abstract

Computational social science has emerged as a response to bigger, complex, and newer types of data available. Although a growing body of research has taken advantage of this new approach, there have been few outlets available that pedagogically give researchers a resource to learn these types of methods. The purpose of this book is to provide such a resource for group researchers seeking to exploit methods falling under the domain of computational social science. Methods in the volume include response surface analysis, machine learning, relational event modeling, semantic network analysis, social sequence analysis, and simulation techniques.

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Literatur
Zurück zum Zitat Alvarez, R. M. (2016). Computational social science: Discovery and prediction. Cambridge, MA: Cambridge University Press.CrossRef Alvarez, R. M. (2016). Computational social science: Discovery and prediction. Cambridge, MA: Cambridge University Press.CrossRef
Zurück zum Zitat Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5), 662–679. Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5), 662–679.
Zurück zum Zitat Cioffi-Revilla, C. (2013). Introduction to computational social science: Principles and applications. London: Springer.MATH Cioffi-Revilla, C. (2013). Introduction to computational social science: Principles and applications. London: Springer.MATH
Zurück zum Zitat Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.CrossRef Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.CrossRef
Zurück zum Zitat Hindman, M. (2015). Building better models prediction, replication, and machine learning in the social sciences. The ANNALS of the American Academy of Political and Social Science, 659(1), 48–62.CrossRef Hindman, M. (2015). Building better models prediction, replication, and machine learning in the social sciences. The ANNALS of the American Academy of Political and Social Science, 659(1), 48–62.CrossRef
Zurück zum Zitat King, G. (2016). Preface: Big data is not about the data! In R. M. Alvarez (Ed.), Computational social science: Discovery and prediction (pp. vii–vi1). Cambridge: Cambridge University Press.CrossRef King, G. (2016). Preface: Big data is not about the data! In R. M. Alvarez (Ed.), Computational social science: Discovery and prediction (pp. vii–vi1). Cambridge: Cambridge University Press.CrossRef
Zurück zum Zitat Klug, M., & Bagrow, J. P. (2016). Understanding the group dynamics and success of teams. Open Science, 3(4), 1–11. Klug, M., & Bagrow, J. P. (2016). Understanding the group dynamics and success of teams. Open Science, 3(4), 1–11.
Zurück zum Zitat Kozlowski, S. W., Chao, G. T., Grand, J. A., Braun, M. T., & Kuljanin, G. (2013). Advancing multilevel research design capturing the dynamics of emergence. Organizational Research Methods, 16(4), 581–615.CrossRef Kozlowski, S. W., Chao, G. T., Grand, J. A., Braun, M. T., & Kuljanin, G. (2013). Advancing multilevel research design capturing the dynamics of emergence. Organizational Research Methods, 16(4), 581–615.CrossRef
Zurück zum Zitat Lazer, D., Pentland, A. S., Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., … Gutmann, M. (2009). Life in the network: The coming age of computational social science. Science, 323(5915), 721. Lazer, D., Pentland, A. S., Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., … Gutmann, M. (2009). Life in the network: The coming age of computational social science. Science, 323(5915), 721.
Zurück zum Zitat Madan, A., Cebrian, M., Moturu, S., Farrahi, K., & Pentland, A. (2012). Sensing the “health state” of a community. IEEE Pervasive Computing, 11(4), 36–45.CrossRef Madan, A., Cebrian, M., Moturu, S., Farrahi, K., & Pentland, A. (2012). Sensing the “health state” of a community. IEEE Pervasive Computing, 11(4), 36–45.CrossRef
Zurück zum Zitat Radford, J., Pilny, A., Reichelmann, A., Keegan, B., Foucault-Welles, B., Hoyde, J., et al. (2016). Volunteer science: An online laboratory for experiments in social psychology. Social Psychology Quarterly, 79(4), 376–396. Radford, J., Pilny, A., Reichelmann, A., Keegan, B., Foucault-Welles, B., Hoyde, J., et al. (2016). Volunteer science: An online laboratory for experiments in social psychology. Social Psychology Quarterly, 79(4), 376–396.
Zurück zum Zitat Shaw, A., & Hill, B. M. (2014). Laboratories of oligarchy? How the iron law extends to peer production. Journal of Communication, 64(2), 215–238.CrossRef Shaw, A., & Hill, B. M. (2014). Laboratories of oligarchy? How the iron law extends to peer production. Journal of Communication, 64(2), 215–238.CrossRef
Zurück zum Zitat Wallach, H. (2016). Computational social science: Towards a collaborative future. In R. M. Alvarez (Ed.), Computational social science: Discovery and prediction. (pp. 307–317). Cambridge University Press. Wallach, H. (2016). Computational social science: Towards a collaborative future. In R. M. Alvarez (Ed.), Computational social science: Discovery and prediction. (pp. 307–317). Cambridge University Press.
Metadaten
Titel
Introduction
verfasst von
Andrew Pilny
Marshall Scott Poole
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-48941-4_1