Cognitive Scaffold

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MENTAL MODEL · M11326

Social Network Analysis

Social Network Analysis
BehaviorHigh supportOrganizational Behavior
Included
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Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

Using network graphs to represent social relationships, analyzing the structural characteristics of nodes (people) and edges (relationships): - Centrality: who is the core node - Clustering coefficient: degree of small groups - Structural holes: bridges connecting different groups.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

See invisible relationship networks. The real functioning of an organization is often not on the organizational chart, but in the informal social network. (Merged: social perception network, social computing, social graph analysis, social graph evaluation, social network analysis, social network weaving method)

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Anchor fast decisions

Abstract social entities as nodes and relationships as edges, using graph theory metrics to characterize structure: degree centrality measures direct connections, betweenness centrality measures control over information, structural holes refer to gaps between groups, and those who occupy them gain information advantages. Weak ties often bring more cross-group new information than strong ties (weak tie advantage).

MINIMUM ACTION

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Source support: Explicit

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    en.wikipedia.orghttps://en.wikipedia.org/wiki/Social_network_analysisZH · Explicit
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