This paper presents a large-scale empirical study of OpenIDEO, an online collaborative design community. Using network analysis techniques, we describe the properties of this collaborative design network and discuss how it differs from common models of network formation seen in other social or technological networks. One major finding is that in OpenIDEO's social network the highly connected members talk more to less connected members than each other—a behavior not commonly found in other social and collaborative networks. We discuss how some of the interventions and incentives inherent in OpenIDEO's platform might cause this unique structure, and what advantages and disadvantages this structure has for coordinating distributed design teams. Specifically, its core-periphery structure is robust to network changes, but is at risk of decreasing design exploration ability if the core becomes too heavily clustered or loses efficiency. We discuss possible interventions that can prevent this outcome: encouraging core members to collaborate with periphery nodes, and increasing the diversity of the user population.

References

References
1.
Mason
,
W.
, and
Watts
,
D. J.
,
2012
, “
Collaborative Learning in Networks
,”
Proc. Natl. Acad. Sci.
,
109
(
3
), pp.
764
769
.10.1073/pnas.1110069108
2.
Stephen
,
A. T.
,
Zubcsek
,
P. P.
, and
Goldenberg
,
J.
,
2013
, “
Product Ideation in Social Networks
,” Social Science Research Network Working Paper Series.
3.
Newman
,
M.
,
2010
,
Networks: An Introduction
,
Oxford University Press
,
Oxford
, NY.
4.
Scott
,
J.
,
2011
, “
Social Network Analysis: Developments, Advances, and Prospects
,”
Soc. Network Anal. Min.
,
1
(
1
), pp.
21
26
.10.1007/s13278-010-0012-6
5.
Madey
,
G.
,
Freeh
,
V.
, and
Tynan
,
R.
,
2002
, “
The Open Source Software Development Phenomenon: An Analysis-Based on Social Network Theory
,”
Proceedings of the Eighth Americas Conference on Information Systems
, pp.
1806
1815
.
6.
Xu
,
J.
,
Gao
,
Y.
,
Christley
,
S.
, and
Madey
,
G.
,
2005
, “
A Topological Analysis of the Open Source Software Development Community
,”
Proceedings of the 38th IEEE Annual Hawaii International Conference on System Sciences
, Vol.
7
, p.
198a
.
7.
Sarkar
,
S.
, and
Dong
,
A.
,
2011
, “
Community Detection in Graphs Using Singular Value Decomposition
,”
Phys. Rev. E
,
83
(
4
), p.
046114
.10.1103/PhysRevE.83.046114
8.
Ugander
,
J.
,
Karrer
,
B.
,
Backstrom
,
L.
, and
Marlow
,
C.
,
2011
, “
The Anatomy of the Facebook Social Graph
,” preprint arXiv:1111.4503. Available at: http://arxiv.org/abs/1111.4503
9.
Zhang
,
S.
,
Hu
,
Y.
,
Zhang
,
X.
, and
Li
,
Y.
,
2013
, “
Simulation Study on Collaborative Behaviors in Mass Collaborative Product Development
,”
2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
, pp.
375
379
.
10.
Panchal
,
J. H.
,
2009
, “
Co-evolution of Products and Communities in Mass-Collaborative Product Development—A Computational Exploration
,”
International Conference on Engineering Design (ICED’09)
.
11.
Le
,
Q.
,
2012
, “
Analysis and Modeling of the Product Structure and Community Structure in Open Source Processes
,” Ph.D. thesis, Washington State University, Pullman, WA.
12.
Sha
,
Z.
, and
Panchal
,
J.
,
2013
, “
Estimating the Node-Level Behaviors in Complex Networks From Structural Datasets
,”
2013 ASME Computers and Information in Engineering (CIE) Conference,
ASME
, Portland, Oregon, USA, August 4–7, 2013, Paper No. DETC2013-12063.10.1115/DETC2013-12063
13.
Hagberg
,
A. A.
,
Schult
,
D. A.
, and
Swart
,
P. J.
,
2008
, “
Exploring Network Structure, Dynamics, and Function Using NetworkX
,”
Proceedings of the 7th Python in Science Conference (SciPy2008)
, pp.
11
15
.
14.
Palla
,
G.
,
Derenyi
,
I.
,
Farkas
,
I.
, and
Vicsek
,
T.
,
2005
, “
Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society
,”
Nature
,
435
(
7043
), pp.
814
818
.10.1038/nature03607
15.
Csermely
,
P.
,
London
,
A.
,
Wu
,
L.-Y.
, and
Uzzi
,
B.
,
2013
, “
Structure and Dynamics of Core-Periphery Networks
,”
J. Complex Network
,
1
, pp.
93
123
.10.1093/comnet/cnt016
16.
Rombach
,
M. P.
,
Porter
,
M. A.
,
Fowler
,
J. H.
, and
Mucha
,
P. J.
,
2013
, “
Core-Periphery Structure in Networks
,” e-print arXiv:1202.2684 v2. Available at: http://arxiv.org/abs/1202.2684
17.
Fortunato
,
S.
,
2010
, “
Community Detection in Graphs
,”
Phys. Rep.
,
486
(
3–5
), pp.
75
174
.10.1016/j.physrep.2009.11.002
You do not currently have access to this content.