The structural wings of Matthew effects
The contribution of three-level network data to the analysis of cumulative advantage
Bibliographic Data
| ID | 4976453 |
|---|---|
| Authors | E Lazega (0000-0001-8844-6426, Centre de Sociologie des Organisations), Marie-Thérèse Jourda (CEPEL-CNRS, Montpellier, France), Marie‐thérèse Jourda (Centre National de la Recherche Scientifique) |
| Year | 2016 |
| Volume | 9 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Methodological Innovations (JOURNAL) |
| Journal identifiers | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2059799115622764 |
| OpenAlex | W2408293274 |
| ISBN | 9799115622764 |
| Language | EN |
| Citations received | 3 |
| References cited | 22 |
The article presents a three-level network approach to the Matthew effect as a multilevel complement to Burt's (2005) conception of the relationship between networks and performance. We first introduce a three-level dataset and the specificity of this data structure for explorations of cumulative advantage. Second, we present a population of scientists and provide a heuristic visualization-as "paragliders"-of their position in this multilevel structure. Third, we cluster these actors into groups of performance to better understand who is in a multilevel position to make progress with performance measurements over time. We use Ronald Burt's representation of the combined effect of brokerage beyond group and closure within group to show that several of these performance groups do not follow his own principles very closely. Fourth, we provide evidence, for one of these groups, of the usefulness of combining constraint in the personal network of its members with constraint in their "extended" network-that is, for looking at the relationship between performance and borrowing from "dual alters" in the extended network. This shows that, when it is present, network lift from three-level structural wings is provided by different levels for different actors. Hypotheses induced by the paraglider metaphor can thus be tested progressively to provide new understandings of the structural conditions under which the Matthew effect of cumulative advantage operates. Finally, we list limitations of this three-level approach to the Matthew effect as examined here and suggest further developments for this approach
Complement (music · Constraint (computer-aided design · Data mining · Dual (grammatical number · Heuristic · Lift (data mining · Metaphor · Network structure · Personal network · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · scientometrics and bibliometrics research · Artificial Intelligence · Theoretical Computer Science
Collision of Wills
Structural Holes
A general theory of bibliometric and other cumulative advantage processes
Emergence of Scaling in Random Networks
The Social Process of Innovation
Brokerage and Closure
The Duality of Persons and Groups
Exponential random graph models for multilevel networks
Catching up with big fish in the big pond? Multi-level network analysis through linked design
Getting funded. Multi-level network of physicists in Italy
Publication Productivity among Scientists
The Social Process of Innovation
The Group Structure of Cocitation Clusters
Productivity and Academic Position in the Scientific Career
Cumulative Advantage and Inequality in Science
Scientific Productivity and the Reward Structure of Science
Network Lift from Dual Alters
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |