The latent cognitive structures of social networks
Bibliographic Data
| ID | 6161408 |
|---|---|
| Authors | Izabel Aguiar (0000-0001-5744-804X, Stanford University), Johan Ugander (0000-0001-5655-4086, Stanford University, corresponding author) |
| Year | 2024 |
| Volume | 12 |
| Issue | 3 |
| Pages | 202-233 |
| Publication date | 2024-04-25 |
| 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.2024.7 |
| OpenAlex | W4395479126 |
| Language | EN |
| References cited | 58 |
When people are asked to recall their social networks, theoretical and empirical work tells us that they rely on shortcuts, or heuristics. Cognitive social structures (CSSs) are multilayer social networks where each layer corresponds to an individual’s perception of the network. With multiple perceptions of the same network, CSSs contain rich information about how these heuristics manifest, motivating the question, Can we identify people who share the same heuristics? In this work, we propose a method for identifying cognitive structure across multiple network perceptions, analogous to how community detection aims to identify social structure in a network. To simultaneously model the joint latent social and cognitive structure, we study CSSs as three-dimensional tensors, employing low-rank nonnegative Tucker decompositions (NNTuck) to approximate the CSS—a procedure closely related to estimating a multilayer stochastic block model (SBM) from such data. We propose the resulting latent cognitive space as an operationalization of the sociological theory of social cognition by identifying individuals who share relational schema . In addition to modeling cognitively independent , dependent , and redundant networks, we propose a specific model instance and related statistical test for testing when there is social-cognitive agreement in a network: when the social and cognitive structures are equivalent. We use our approach to analyze four different CSSs and give insights into the latent cognitive structures of those networks
Cognition · Complex Network Analysis Techniques · Neuroscience · Opinion Dynamics and Social Influence · Psychology
Social Network Analysis
The acquaintance process.
Maximizing the spread of influence through a social network
Latent Space Approaches to Social Network Analysis
The Diffusion of Microfinance
The psychology of interpersonal relations.
Coarse Thinking and Persuasion
Cognitive social structures
Informant accuracy in social network data IV
A latent space model for cognitive social structures data
The microstructures of network recall
Filling in the Blanks
A Social Cognitive Conception of Social Structure
An approach for relating social structure to cognitive structure
Name generators in surveys of personal networks
Social Network Schemas and the Learning of Incomplete Networks
Latent space models for network perception data
An Ecology of Affiliation
Relational schemas and the processing of social information
Subjective probabilities of interpersonal relationships
Evolution on a Dancing Landscape
Informant Accuracy in Social Network Data
Cognitive Structure and Informant Accuracy
Culture and Cognition
Systematic Biases in Social Perception
A Macrosociological Theory of Social Structure
Identities in flux
| Citation velocity | historical |
|---|---|
| Highly cited | No |