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Situating Social Influence Processes: Dynamic, Multidirectional Flows of Influence Within Social Networks
Abstract
Social psychologists have studied the psychological processes involved in persuasion, conformity, and other forms of social influence, but they have rarely modeled the ways influence processes play out when multiple sources and multiple targets of influence interact over time. However, workers in other fields from sociology and economics to cognitive science and physics have recognized the importance of social influence and have developed models of influence flow in populations and groups—generally without relying on detailed social psychological findings. This article reviews models of social influence from a number of fields, categorizing them using four conceptual dimensions to delineate the universe of possible models. The goal is to encourage interdisciplinary collaborations to build models that incorporate the detailed, microlevel understanding of influence processes derived from focused laboratory studies but contextualized in ways that recognize how multidirectional, dynamic influences are situated in people's social networks and relationships.
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“However, the findings of local rules of opinion adaptation have not yet been used to study the collective dynamics of the system, and it remains unclear how social influence plays out in larger scale social contexts over time [31].”
From Social Influence and the Collective Dynamics of Opinion Formation (2013) · cites this paper as [31]
In the citing paper
“As social influence among human group members may trigger individuals to revise their estimates (10), it can have a substantial impact on the statistical wisdom of crowd effect in societies.”
From How social influence can undermine the wisdom of crowd effect (2011) · cites this paper as [10]
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Metadata
- Authors
- Mason, W. A., Conrey, F. R., & Smith, E. R.
- Affiliations
- Indiana University Bloomington (US)
- Venue
- Personality and Social Psychology Review
- Publisher
- SAGE Publications
- Published
- 2007-08
- Volume
- 11
- Issue
- 3
- Pages
- 279-300
- ISSN
- 1088-8683 (ISSN-L)
- 1532-7957
- OpenAlex
- W2147167010
- Semantic Scholar
- 9a914f197cafce174d2ecfae2739d512f081ca90
- Cited by
- 335
- References
- 94
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 20 · 2023: 14 · 2022: 22 · 2021: 17 · 2020: 16 · 2019: 18 · 2018: 21 · 2017: 18 · 2016: 21 · 2015: 27 · 2014: 20 · 2013: 26 · 2012: 21
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personality and Social Psychology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
- Keywords
- social influence, social networks, persuasion, conformity, interpersonal relationships
- MeSH terms
- Attitude, Humans, Leadership, Social Behavior, Social Environment, Social Support
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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