Dynamic concurrent partnership networks incorporating demography

2012 ◽  
Vol 82 (3) ◽  
pp. 229-239 ◽  
Author(s):  
K.Y. Leung ◽  
M.E.E. Kretzschmar ◽  
O. Diekmann
Keyword(s):  
Concurrent Partnership ◽  
Partnership Networks

scholarly journals Finding the Sweet Spot: Network Structures and Processes for Increased Knowledge Mobilization

2016 ◽  
Vol 25 (1) ◽  
Author(s):  
Patricia Briscoe ◽  
Katina Pollock ◽  
Carol Campbell ◽  
Shasta Carr-Harris
Keyword(s):  
Public Education ◽  
Secondary Analysis ◽  
Evidence Based ◽  
Network Structures ◽  
Knowledge Mobilization ◽  
Sweet Spot ◽  
Interim Report ◽  
Research To Practice ◽  
Government Initiative ◽  
Partnership Networks

The use of networks in public education is one of a number of knowledge mobilization (KMb) strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to effectively mobilizing knowledge through external partnership networks. The purpose of this paper is to further explore how networks work. Data was collected from virtual discussions for an interim report for a province-wide government initiative. A secondary analysis of the data was performed. The findings present network structures and processes that partners were engaged in when building a network within education. The implications of this study show that building a network for successful outcomes is complex and metaphorically similar to finding the “sweet spot.” It is challenging but networks that used strategies to align structures and processes proved to achieve more success in mobilizing research to practice.

scholarly journals Partnership Networks for Urban Development: How Structure is Shaped by Risk

2015 ◽  
Vol 43 (3) ◽  
pp. 379-398 ◽  
Author(s):  
Ryan R. J. McAllister ◽  
Bruce M. Taylor ◽  
Ben P. Harman
Keyword(s):  
Urban Development ◽  
Partnership Networks

scholarly journals Generating bipartite networks with a prescribed joint degree distribution

2017 ◽  
Vol 5 (6) ◽  
pp. 839-857 ◽  
Author(s):  
Asma Azizi Boroojeni ◽  
Jeremy Dewar ◽  
Tong Wu ◽  
James M Hyman
Keyword(s):  
Degree Distribution ◽  
Bipartite Network ◽  
Degree Sequences ◽  
Bipartite Networks ◽  
Original Network ◽  
Software Environment ◽  
Target Network ◽  
Disjoint Sets ◽  
New Algorithms ◽  
Partnership Networks

Abstract We describe a class of new algorithms to construct bipartite networks that preserves a prescribed degree and joint-degree (degree–degree) distribution of the nodes. Bipartite networks are graphs that can represent real-world interactions between two disjoint sets, such as actor–movie networks, author–article networks, co-occurrence networks and heterosexual partnership networks. Often there is a strong correlation between the degree of a node and the degrees of the neighbours of that node that must be preserved when generating a network that reflects the structure of the underling system. Our bipartite $2K$ ($B2K$) algorithms generate an ensemble of networks that preserve prescribed degree sequences for the two disjoint set of nodes in the bipartite network, and the joint-degree distribution that is the distribution of the degrees of all neighbours of nodes with the same degree. We illustrate the effectiveness of the algorithms on a romance network using the NetworkX software environment to compare other properties of a target network that are not directly enforced by the $B2K$ algorithms. We observe that when average degree of nodes is low, as is the case for romance and heterosexual partnership networks, then the $B2K$ networks tend to preserve additional properties, such as the cluster coefficients, than algorithms that do not preserve the joint-degree distribution of the original network.

scholarly journals Partnership networks and mobilization

Matrizes ◽  
2013 ◽  
Vol 7 (2) ◽  
pp. 289
Author(s):  
Maria Clara Aquino Bittencourt
Keyword(s):  
Partnership Networks

scholarly journals Re-engineering Inter Company Processes Through Partnership Networks

1995 ◽  
pp. 63-71
Author(s):  
S. Crom ◽  
Jerry Julian ◽  
Thorsten Kuhlmann ◽  
Bernd E. Hirsch
Keyword(s):  
Partnership Networks
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