Computational Methods for Studying Group Communication

Andrew Pilny

doi:10.1108/978-1-80043-500-120211009

Computational Methods for Studying Group Communication

Andrew Pilny

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

This chapter conceptualizes computational methods across three related, yet distinct approaches: (1) Social Simulation, (2) Data Science, and (3) Big Data. Group communication research is then situated and reviewed along these three lines of research. Although some areas have considerable visibility (e.g., network analysis, text mining), some areas are less visible in group communication research (e.g., Social Simulation, Big Data designs). The chapter concludes with suggestions for issues regarding reliability, validity, and ethics.

Original language	English
Title of host publication	The Emerald Handbook of Group and Team Communication Research
Pages	109-133
Number of pages	25
ISBN (Electronic)	9781800435001
DOIs	https://doi.org/10.1108/978-1-80043-500-120211009
State	Published - Jan 1 2021

Bibliographical note

Publisher Copyright:
© 2022 by Emerald Publishing Limited.

Keywords

Big data
Computational social science
Data science
Machine learning
Scientific computing
Simulations
Trace data

ASJC Scopus subject areas

General Economics, Econometrics and Finance
General Business, Management and Accounting

Access to Document

10.1108/978-1-80043-500-120211009

Cite this

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KW - Data science

KW - Machine learning

KW - Scientific computing

KW - Simulations

KW - Trace data

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ER -

Computational Methods for Studying Group Communication

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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