Memory Transmission in Small Groups and Large Networks
An Agent-Based Model
Bibliographic Data
| ID | 7532176 |
|---|---|
| Authors | Christian C Luhmann (0000-0002-9773-1672, Stony Brook University, corresponding author), Suparna Rajaram (0000-0002-8947-1022, Stony Brook University) |
| Year | 2015 |
| Volume | 26 |
| Issue | 12 |
| Pages | 1909-1917 |
| Publication date | 2015-11-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Science (JOURNAL) |
| Journal identifiers | ISSN: 0956-7976 • E-ISSN: 1467-9280 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0956797615605798 |
| PMID | 26553014 |
| OpenAlex | W2193585915 |
| Language | EN |
| Citations received | 15 |
| References cited | 41 |
The spread of social influence in large social networks has long been an interest of social scientists. In the domain of memory, collaborative memory experiments have illuminated cognitive mechanisms that allow information to be transmitted between interacting individuals, but these experiments have focused on small-scale social contexts. In the current study, we took a computational approach, circumventing the practical constraints of laboratory paradigms and providing novel results at scales unreachable by laboratory methodologies. Our model embodied theoretical knowledge derived from small-group experiments and replicated foundational results regarding collaborative inhibition and memory convergence in small groups. Ultimately, we investigated large-scale, realistic social networks and found that agents are influenced by the agents with which they interact, but we also found that agents are influenced by nonneighbors (i.e., the neighbors of their neighbors). The similarity between these results and the reports of behavioral transmission in large networks offers a major theoretical insight by linking behavioral transmission to the spread of information
Cognition · Cognitive psychology · Cognitive science · Convergence (economics · Data science · Embodied cognition · Information transmission · Scale (ratio · Similarity (geometry · Transmission (telecommunications · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Neuroscience · Opinion Dynamics and Social Influence · Psychology · Artificial Intelligence
Collective Memory in Animals
Memória Ou Metamemória Das Origens
How the Complexity of Psychological Processes Reframes the Issue of Reproducibility in Psychological Science
Memory transmission in small groups and large networks
Persistence of false memories and emergence of collective false memory
Building Better Theories
Agent-Based Modeling
Simulate this! An Introduction to Agent-Based Models and their Power to Improve your Research Practice
Inhibitory Process of Collaborative Inhibition
Memorias Adaptables para la Construcción de Identidades Colectivas
Event‐related potential and behavioural evidence of goal‐based expectations for consistent actions among group members
An experimental study of the formation of collective memories in social networks
A longitudinal study of conversational remembering in WhatsApp group messages before, during, and after Covid-19 lockdown
Cognition in a Social Context
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework
Micromotives and macrobehavior
Networks, Crowds, and Markets
Collective memory
Finding community structure in networks using the eigenvectors of matrices
The Spread of Behavior in an Online Social Network Experiment
Collective memory
An Experimental Study of Search in Global Social Networks
Collective dynamics of ‘small-world’ networks
Social and Economic Networks
Many hands make light the work
Social Influence, Binary Decisions and Collective Dynamics
Forgetting the Unforgettable Through Conversation
Towards a psychology of collective memory
On statistical testing in psychology
Tests for comparing elements of a correlation matrix
An Information Flow Model for Conflict and Fission in Small Groups
Diffusion in Organizations and Social Movements
Threshold Models of Collective Behavior
| Unique citing works | 15 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |