Is Culture a Network or a Landscape?

How, and why, does culture change? DiMaggio’s influential call to take cognition seriously helped reorient answers to this question toward the ways people mentally represent cultural knowledge, especially the idea that meanings inhere in webs of schematic association. Such a perspective pushes analysts toward a systemic approach, rather than a focus on isolated cultural elements. In this article, I juxtapose two system-level representations of culture that have developed largely in parallel. The first, now influential in cultural sociology, models culture as a network of semantic associations among cultural elements, showing how meanings can be measured, compared, and tracked over time. The second, imported from the NK model in evolutionary biology and widely used in organizational theory, models culture as a landscape of possible configurations whose topography constrains cultural movement. I argue that these representations are best treated as complements. Networks recover individuals’ interpretative architectures and their heterogeneity, while landscapes represent the cognitive constraints that render some cultural configurations more cognitively viable than others. Social processes of learning and influence can then be modeled as movement through this rugged, constrained configuration landscape. This integrated approach can provide a systemic account of how interpretative structure and cognitive constraint jointly produce cultural inertia and occasional, punctuated transitions.

Authors

Institutions

Publication Details

Journal
American Behavioral Scientist
Published
2026-11-08
DOI
https://doi.org/10.1177/00027642261497121
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Is Culture a Network or a Landscape?

Amir Goldberg
1 links
American Behavioral Scientist
Language and cultural evolution
article

Is Culture a Network or a Landscape?

Amir Goldberg
article en

Abstract

How, and why, does culture change? DiMaggio’s influential call to take cognition seriously helped reorient answers to this question toward the ways people mentally represent cultural knowledge, especially the idea that meanings inhere in webs of schematic association. Such a perspective pushes analysts toward a systemic approach, rather than a focus on isolated cultural elements. In this article, I juxtapose two system-level representations of culture that have developed largely in parallel. The first, now influential in cultural sociology, models culture as a network of semantic associations among cultural elements, showing how meanings can be measured, compared, and tracked over time. The second, imported from the NK model in evolutionary biology and widely used in organizational theory, models culture as a landscape of possible configurations whose topography constrains cultural movement. I argue that these representations are best treated as complements. Networks recover individuals’ interpretative architectures and their heterogeneity, while landscapes represent the cognitive constraints that render some cultural configurations more cognitively viable than others. Social processes of learning and influence can then be modeled as movement through this rugged, constrained configuration landscape. This integrated approach can provide a systemic account of how interpretative structure and cognitive constraint jointly produce cultural inertia and occasional, punctuated transitions.

American Behavioral Scientist
Stanford University (US)
Language and cultural evolution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon