The network structure of collective innovation / Devon Brackbill.

Format:

Book

Manuscript

Thesis/Dissertation

Author/Creator:

Brackbill, Devon, author.

Contributor:

Centola, Damon, degree supervisor.

Cappella, Joseph, degree committee member.

Delli Carpini, Michael X., 1953- degree committee member.

University of Pennsylvania. Department of Communication, degree granting institution.

Language:

English

Subjects (All):

Penn dissertations--Communication.

Communication--Penn dissertations.

Local Subjects:

Penn dissertations--Communication.

Communication--Penn dissertations.

Physical Description:

xii, 78 leaves : illustrations ; 29 cm

Production:

[Philadelphia, Pennsylvania] : University of Pennsylvania, 2017.

Summary:

Prior research on how to design collaboration networks among scientists, engineers, and strategists surprisingly predicts that inefficient networks that slow down the rate of collaboration will lead to better performance on complex problems. However, empirical research has provided mixed evidence for these ideas. Here, we test this theory using an online Data Science Competition that experimentally manipulates the network efficiency of teams working on a complex problem. The results support the idea that less efficient collaboration networks increase collective performance on complex problems. The results have important implications for designing problem-solving teams in numerous domains.

Notes:

Ph. D. University of Pennsylvania 2017.

Department: Communication.

Supervisor: Damon Centola.

Includes bibliographical references.

OCLC:

1334674232