Stability of centrality measures in valued networks regarding different actor non-response treatments and macro-network structures
Bibliographic Data
| ID | 7338564 |
|---|---|
| Authors | Anja Žnidaršič (0000-0003-0084-3182, University of Maribor), A Ferligoj (0000-0002-3682-6854, University of Ljubljana), P Doreian (0000-0002-3301-7840, University of Ljubljana) |
| Year | 2017 |
| Volume | 6 |
| Issue | 1 |
| Pages | 1-33 |
| Publication date | 2017-10-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2017.29 |
| OpenAlex | W2766632047 |
| Language | EN |
| Citations received | 5 |
| References cited | 37 |
Social network data are prone to errors regardless their source. This paper focuses on missing data due to actor non-response in valued networks. If actors refuse to provide information, all values for outgoing ties are missing. Partially observed incoming ties to non-respondents and all other patterns for ties between members of the network can be used to impute missing outgoing ties. Many centrality measures are used to determine the most prominent actors inside the network. Using treatments for actor non-response enables us to estimate better the centrality scores of all actors regarding their popularity or prominence. Simulations using initial known blockmodel structures based on three most frequently occurring macro-network structures: cohesive subgroups, core-periphery models, and hierarchical structures were used to evaluate the relative merits of the treatments for non-response. The results indicate that the amount of non-respondents, the type of underlying macro-structure, and the employed treatment have an impact on centrality scores. Regardless of the underlying network structure, the median of the 3-nearest neighbors based on incoming ties performs the best. The adequacy (or not) of the other non-response treatments is contingent on the network macro-structure
Betweenness centrality · Centrality · Data mining · Data science · Econometrics · Interpersonal ties · Katz centrality · Macro · Network analysis · Network structure · Popularity · Social network analysis · Statistics · Complex Network Analysis Techniques · Computer Science · Engineering · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Capital and Networks · Social Psychology · Theoretical Computer Science
Generalized Blockmodeling
Social Network Analysis
Nonrespondents in Communication Network Studies
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
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A note on two problems in connexion with graphs
Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research
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Recent Developments in Network Measurement
Effects of missing data in social networks
Centrality in social networks conceptual clarification
Identifying cohesive subgroups
Node centrality in weighted networks
Weight matrices for social influence analysis
Research note
Missing data in networks
On the robustness of centrality measures under conditions of imperfect data
The stability of centrality measures when networks are sampled
Social Network Analysis
A faster algorithm for betweenness centrality
Structural effects of network sampling coverage I
Actor non-response in valued social networks
Non-response in social networks
Treatment of non-response in longitudinal network studies
Modeling workplace contact networks
Social Movements and Ecosystem Services-the Role of Social Network Structure in Protecting and Managing Urban Green Areas in Stockholm
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2016 - 2025 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |