Six Degrees of 'Who Cares
Bibliographic Data
| ID | 2221500 |
|---|---|
| Authors | Rick Grannis (University of California, Los Angeles, corresponding author) |
| Year | 2010 |
| Volume | 115 |
| Issue | 4 |
| Pages | 991-1017 |
| Publication date | 2010-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9602 • E-ISSN: 1537-5390 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/649059 |
| OpenAlex | W1586173184 |
| Language | EN |
| Citations received | 14 |
| References cited | 28 |
The concept that we live in small world networks connected by short paths has proved fascinating. These networks, however, do not typically emerge as linear responses to individual‐level changes; rather, subtle changes in relations produce extraordinarily different macrolevel outcomes. Similarly, nuances in how we conceptualize, define, and measure relations can lead to widely different network characterizations. The author demonstrates this variability using a spectrum of interaction types and argue that the dependence of results on subtleties in definition or measurement makes theoretical interpretation difficult. He offers an index to calculate how much inaccuracy or imprecision relational definitions or data‐gathering techniques can tolerate before results yield utterly different interpretations
Data mining · Data science · Epistemology · Index (typography) · Interpretation (philosophy) · Measure (data warehouse) · Yield (engineering) · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Mental Health Research Topics · Opinion Dynamics and Social Influence · Philosophy · Psychology · Theoretical Computer Science
Network Representations of Complex Data
Sampling Effects in Social Network Analysis
How small is it? Comparing indices of small worldliness
Vers une sociologie de la convocation
Social Networks and Employment
Macrostructure from Microstructure
What makes a network go round? Exploring the structure of a strong component with exponential random graph models
Duality of departmental specializations and PhD exchange
Reciprocation under status ambiguity
The “unfriending” problem
Global Network Inference from Ego Network Samples
Latent Groups in Online Communities
Who listens to the top? Integration of the largest corporations across sectoral networks
Who Killed the Inner Circle? The Decline of the American Corporate Interlock Network
Micromotives and macrobehavior
Random graphs with arbitrary degree distributions and their applications
Collective dynamics of ‘small-world’ networks
Emergence of Scaling in Random Networks
Ego's important discussants or significant people
Tribal regimes in academia
A note on social capital and network content
Holland and Leinhardt Reply
Clustering and Structural Balance in Graphs
Social Isolation in America
Clustering and Hierarchy in Interpersonal Relations
The Academic Caste System
The small world problem
The Importance of Relationship Timing for Diffusion
Collaboration and Creativity
Dynamic Network Visualization
Network Sampling
The Strength of Weak Ties
Networks, Dynamics, and the Small-World Phenomenon
| Citations per year | 0.93 |
|---|---|
| Citation span | 2011 - 2020 (10) |
| Highly cited | No |