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tutorial

Computational Social Science for the World Wide Web (CSSW3)

Published: 11 April 2016 Publication History

Abstract

This tutorial aims at outlining fundamental methods for studying typical social science research questions with organic data (i.e., data that has not been designed for a specific research purpose but can be found on the Web). Further, social theories, statistical methods and models that help to understand the processes that generated the data will be discussed. Participants will learn (1) how to turn theoretical assumptions into models and test them, (2) how to validate measurements and (3) how to approximate causality when working with organic data.

References

[1]
C. Castellano, S. Fortunato, and V. Loreto. Statistical physics of social dynamics. Rev. Mod. Phys. 81(2):591--646, 2009.
[2]
T. Dunning. Natural Experiments in the Social Sciences. Cambridge University Press, 2012.
[3]
J. S. Sekhon. Opiates for the matches: Matching methods for causal inference. Annual Review of Political Science, 12:487--508, 2012.
[4]
M. Strohmaier and C. Wagner. Computational social science for the world wide web. IEEE Intelligent Systems, 29(5), 2014.

Cited By

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  • (2017)Digital DemographyProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3051104(935-939)Online publication date: 3-Apr-2017
  • (undefined)Social Data: Biases, Methodological Pitfalls, and Ethical BoundariesSSRN Electronic Journal10.2139/ssrn.2886526

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Published In

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WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
April 2016
1094 pages
ISBN:9781450341448
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • IW3C2: International World Wide Web Conference Committee

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Publisher

International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 11 April 2016

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Author Tags

  1. causality
  2. computational social science
  3. measurements
  4. networks
  5. research methodologies
  6. social theories

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  • Tutorial

Conference

WWW '16
Sponsor:
  • IW3C2
WWW '16: 25th International World Wide Web Conference
April 11 - 15, 2016
Québec, Montréal, Canada

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WWW '16 Companion Paper Acceptance Rate 115 of 727 submissions, 16%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2017)Digital DemographyProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3051104(935-939)Online publication date: 3-Apr-2017
  • (undefined)Social Data: Biases, Methodological Pitfalls, and Ethical BoundariesSSRN Electronic Journal10.2139/ssrn.2886526

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