Dynamic Network Visualization
Dados Bibliográficos
| ID | 2215676 |
|---|---|
| Autores | James Moody (0000-0003-2266-5348), D A Mcfarland (0000-0002-6805-0798, Stanford University), Daniel Mcfarland, Skye Bender‐demoll (Stanford University) |
| Ano | 2005 |
| Volume | 110 |
| Fascículo | 4 |
| Páginas | 1206-1241 |
| Data de publicação | 2005-01-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | American Journal of Sociology (JOURNAL) |
| Identificadores do periódico | ISSN: 0002-9602 • E-ISSN: 1537-5390 |
| Editora | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/421509 |
| OpenAlex | W21202130 |
| Idioma | EN |
| Citações recebidas | 78 |
| Referências citadas | 58 |
Increased interest in longitudinal social networks and the recognition that visualization fosters theoretical insight create a need for dynamic network visualizations, or network “movies. ” This article confronts theoretical questions surrounding the temporal representations of social networks and technical questions about how best to link network change to changes in the graphical representation. The authors divide network movies into (1) static flip books, where node position remains constant but edges cumulate over time, and (2) dynamic movies, where nodes move as a function of changes in relations. Flip books are particularly useful in contexts where relations are sparse. For more connected networks, movies are often more appropriate. Three empirical examples demonstrate the advantages of different movie styles. A new software program for creating network movies is discussed in the appendix
Computer network · Constant (computer programming) · Dynamic network analysis · Function (biology) · Node (physics) · Position (finance) · Programming language · Representation (politics) · Social media · Social network (sociolinguistics) · Visualization · World Wide Web · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Opinion Dynamics and Social Influence · Theoretical Computer Science
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| Obras citantes distintas | 78 |
|---|---|
| Citações por ano | 3,71 |
| Intervalo de citações | 2005 - 2025 (21) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 75 |