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Patterns in Knowledge Production.

ProQuest Information and Learning Co.

Patterns in Knowledge Production.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Patterns in Knowledge Production./
作者:	Manning, Miles Kirkland.
面頁冊數:	1 online resource (97 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
標題:	Applied mathematics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355153828

Patterns in Knowledge Production.
Manning, Miles Kirkland.

Patterns in Knowledge Production. - 1 online resource (97 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)--Arizona State University, 2017.

Includes bibliographical references

This dissertation will look at large scale collaboration through the lens of online communities to answer questions about what makes a collaboration persist. Results address how collaborations attract contributions, behaviors that could give rise to patterns seen in the data, and the properties of collaborations that drive those behaviors.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355153828Subjects--Topical Terms:

1069907
Applied mathematics.
Index Terms--Genre/Form:

554714
Electronic books.

Patterns in Knowledge Production.
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100 1 $a Manning, Miles Kirkland. $3 1188080
245 1 0 $a Patterns in Knowledge Production.
264 0 $c 2017
300 $a 1 online resource (97 pages)
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337 $a computer $b c $2 rdamedia
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Advisers: Marcus A. Janssen; Carlos Castillo-Chavez.
502 $a Thesis (Ph.D.)--Arizona State University, 2017.
504 $a Includes bibliographical references
520 $a This dissertation will look at large scale collaboration through the lens of online communities to answer questions about what makes a collaboration persist. Results address how collaborations attract contributions, behaviors that could give rise to patterns seen in the data, and the properties of collaborations that drive those behaviors.
520 $a It is understood that collaborations, online and otherwise, must retain users to remain productive. However, before users can be retained they must be recruited. In the first project, a few necessary properties of the "attraction" function are identified by constraining the dynamics of an ODE (Ordinary Differential Equation) model. Additionally, more than 100 communities of the Stack Exchange networks are parameterized and their distributions reported.
520 $a Collaborations do not exist in a vacuum, they compete with and share users with other collaborations. To address this, the second project focuses on an agent-based model (ABM) of a community of online collaborations using a mechanistic approach. The ABM is compared to data obtained from the Stack Exchange network and produces similar distributional patterns.
520 $a The third project is a thorough sensitivity analysis of the model created in the second project. A variance based sensitivity analysis is performed to evaluate the relative importance of 21 parameters of the model. Results indicate that population parameters impact many outcome metrics, though even those parameters that tend towards a low impact can be crucial for some outcomes.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Applied mathematics. $3 1069907
650 4 $a Information science. $3 561178
650 4 $a Sociology. $3 551705
655 7 $a Electronic books. $2 local $3 554714
690 $a 0364
690 $a 0723
690 $a 0626
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Arizona State University. $b Applied Mathematics for the Life and Social Sciences. $3 1180563
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10614924 $z click for full text (PQDT)

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