Difference between revisions of "Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model"

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[[Category:Scientific works]]

Latest revision as of 22:52, 26 February 2021


Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model
Authors
Feng-Jun Liu
Jiang-Nan Qiu
Na Zhao
Publication date
2017
DOI
10.1051/itmconf/20171203019
Links
Original

Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model - scientific work related to Wikipedia quality published in 2017, written by Feng-Jun Liu, Jiang-Nan Qiu and Na Zhao.

Overview

In this paper, authors constructed a system dynamic model of Wikipedia based on the co-evolution theory, and investigated the interrelationships among topic popularity, group size, collaborative conflict, coordination mechanism, and information quality by using the vector error correction model (VECM). This study provides a useful framework for analyzing the dynamics of Wikipedia and presents a formal exposition of the VECM methodology in the information system research.

Embed

Wikipedia Quality

Liu, Feng-Jun; Qiu, Jiang-Nan; Zhao, Na. (2017). "[[Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model]]". EDP Sciences. DOI: 10.1051/itmconf/20171203019.

English Wikipedia

{{cite journal |last1=Liu |first1=Feng-Jun |last2=Qiu |first2=Jiang-Nan |last3=Zhao |first3=Na |title=Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model |date=2017 |doi=10.1051/itmconf/20171203019 |url=https://wikipediaquality.com/wiki/Modeling_Dynamics_of_Wikipedia:_an_Empirical_Analysis_Using_a_Vector_Error_Correction_Model |journal=EDP Sciences}}

HTML

Liu, Feng-Jun; Qiu, Jiang-Nan; Zhao, Na. (2017). &quot;<a href="https://wikipediaquality.com/wiki/Modeling_Dynamics_of_Wikipedia:_an_Empirical_Analysis_Using_a_Vector_Error_Correction_Model">Modeling Dynamics of Wikipedia: an Empirical Analysis Using a Vector Error Correction Model</a>&quot;. EDP Sciences. DOI: 10.1051/itmconf/20171203019.