Catching up with big fish in the big pond? Multi-level network analysis through linked design

Lazega, Emmanuel; Jourda, Marie-Thérèse; Mounier, Lise; Stofer, Rafaël

doi:10.1016/j.socnet.2008.02.001

Cited by 156 publications

(126 citation statements)

References 30 publications

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“…In regards to the framework used in this study, the proposed hybrid bipartite structure can be related to other general frameworks proposed by social network scientists for multilevel networks, which have been applied on various contexts and have led to the proposition of dedicated models [43,24,6,34,42]. Taking inspiration from these approaches, we rely in this paper on a particular instance of multi-level networks as we identify only two distinct levels (sets of nodes) and allow direct links only in one of the levels.…”

Section: Introductionmentioning

confidence: 99%

Analysing the first case of the International Criminal Court from a network-science perspective

Tarissan

Nollez-Goldbach

2016

jcomplexnetw

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This paper analyses the multi-level network composed of the legal decisions taken by the International Criminal Court since its creation in 2002. As many real-world networks, legal networks lend themselves to the use of graphs in which nodes represent the decisions taken by the Court and links stand for citations between decisions. Although useful, this framework does not account for the inherent complexity and hierarchy commonly observed in real data. In the context of legal networks in particular, interactions between decisions take place at various levels, inducing a two-level structure. We propose here to rely on a hybrid version of bipartite graphs, which allows to represent different types of links in multi-level networks. We assess the relevance of this approach by analysing the hybrid structure of the first case of the Court and by confronting it with standard approaches focusing on direct citation processes. We validate the outcomes by providing juridical interpretations of the results, which shed some light on the procedural aspects of the International Criminal Court and put an emphasis on the key themes addressed by this jurisdiction. Thus, for the first time, this work converges two very different approaches to account for the multi-level complexity in legal networks.

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Section: Introductionmentioning

confidence: 99%

Analysing the first case of the International Criminal Court from a network-science perspective

Tarissan

Nollez-Goldbach

2016

jcomplexnetw

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“…Lin et al (2009) surveyed R&D consortia between firms and between firms-research institute and examined the network embeddedness (e.g., network ties, trust, and norm) with a focus on technology transfer, but they focused on knowledge. Lazega et al (2008) and Bellotti (2012), on the other hand, tested the so-called "big fishes in big ponds" 54 phenomenon by analyzing networks between individuals, between universities, and between individuals and universities through a medium of research projects. Those studies examined research funding on the network; however, they did not focus on the interplay of firms (awardees) and governments (funders).…”

Section: Network Positionmentioning

confidence: 99%

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

Ryu

2017

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For more information on this publication, visit http://www.rand.org/pubs/rgs_dissertations/RGSD405.html Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2017 RAND Corporation R® is a registered trademark Limited Print and Electronic Distribution RightsThis document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org iii AbstractThe objective of this dissertation is to better understand the contextual effects on the success of the transition of technologies generated through the U.S. Department of Defense (DOD) Small Business Innovation Research (SBIR) program, and to pull out policy recommendations for facilitating the way the SBIR transitions technologies from abstract concepts to concrete engineering capabilities that the U.S. can use in its military systems. To that end, I explore how social (network), spatial (region), and industrial (technology) factors affect the SBIR's ability to do this. Specifically, I examine the contextual effects of network, regional, and industrial characteristics on the success of technology transition using various regression models. To incorporate multilevel factors, in particular, I employ hierarchical linear models with firm-and region/ industry-level variables related to state-level innovation capacity, anchor tenants, innovation brokers, technology life cycle, technology market, technological and network positions of SBIR awardees in relation to the DOD (including its research laboratories) and prime contractors.Findings of this dissertation include: small firms' larger SBIR awards, higher age, more cutting-edge technology or high-tech focus are more likely to lead to success in technology transition; small firms' higher technological distance (in particular, relative to prime contractors) and more central network position are more likely to facilitate technology transition; the number of defense labs in a state may matter in small firms' winning federal procurement contracts and improving their return on investment; the number of DOD mentors (i.e., large prime contractors who signed up for mentoring small busin...

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“…An example is Lazega et al's (2008) "linked design" approach. Here, the level 1 nodes are individual cancer researchers, connected by advice seeking; the level 2 nodes are the laboratories in which they work, connected by resource sharing.…”

Section: Multilevel Networkmentioning

confidence: 99%

“…Wang et al (2013) developed and applied their MERGM approach to the Lazega et al's (2008) data. Their targets of inference were various aspects of the multilevel network structure.…”

Section: Multilevel Networkmentioning

confidence: 99%

The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks

Tranmer

Pallotti

Lomi³

2016

Social Networks

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Tranmer, M., Pallotti, F., and Lomi, A. (2016) The embeddedness of organizational performance: multiple membership multiple classification models for the analysis of multilevel networks. Social Networks, 44, There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.http://eprints.gla.ac.uk/122367/ hospitals (higher-level, elective transfers), and between EDs and hospitals (cross-level, nonemergency transfers). Our main analytical objective is to examine the effect of these interdependent and partially nested levels of action on the variation in waiting time among EDsone of the most commonly adopted and accepted measures of ED performance. After controlling for institutional and organizational differences between hospitals, we find that the largest component of network variation in patient waiting-time is accounted for at the level of the hospital-to-hospital patient transfers. We take this result as clear evidence of the presence of multilevel network effects on organizational sub-unit performance. We also find that EDs connected by direct patient transfer relations tend to attain similar levels of performance. We interpret this performance spillover effect as evidence that collaborative network relations afford and sustain processes of interorganizational learning and knowledge transfer at the sub-unit level. We discuss further extensions to the model for more general analyses of multilevel network dependencies.

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Catching up with big fish in the big pond? Multi-level network analysis through linked design

Cited by 156 publications

References 30 publications

Analysing the first case of the International Criminal Court from a network-science perspective

Analysing the first case of the International Criminal Court from a network-science perspective

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks

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