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Contagion and Interpersonal Influence: Distinguishing Mechanisms of Behavior Change Using Social Network Theory Cover

Contagion and Interpersonal Influence: Distinguishing Mechanisms of Behavior Change Using Social Network Theory

Open Access
|Aug 2024

Figures & Tables

Figure 1:

Personal network of ego who is connected to six alters, three of whom are adopters (A, B, & C); and F is perceived to use; D and E are nonadopters. Arrows reflect tie direction with the tie between ego and A being stronger than the others. C receives many ties from outside of the ego's personal network
Personal network of ego who is connected to six alters, three of whom are adopters (A, B, & C); and F is perceived to use; D and E are nonadopters. Arrows reflect tie direction with the tie between ego and A being stronger than the others. C receives many ties from outside of the ego's personal network

Figure 2:

SE influence occurs when individuals, or other units, monitor the behavior of others who occupy the same or similar position in the network. Person D can influence Ego regardless of whether they are directly connected to one another. SE, structural equivalence.
SE influence occurs when individuals, or other units, monitor the behavior of others who occupy the same or similar position in the network. Person D can influence Ego regardless of whether they are directly connected to one another. SE, structural equivalence.

Adjusted odds ratios for becoming a smoker over a two-and-a-half-year period using different network weighting mechanisms_

InfluencesSmoking at time 2
Individual
Exposure percent3.69**
Exposure count1.20
Perceived use2.34**
Indirect ties-2 step3.56**
SE0.26*
Tie characteristics
Simmelian ties4.29**
Network density2.94**
Alter characteristics
Network indicator weights – Indegree centrality2.95**
Alter attributes-same sex3.42**
Joint participation-same team1.39

Summary of example social network influence mechanisms_

Personal networkPositionalNetwork levelInteractions
1) Exposure6) Tie strength1) Central1) Density1) Exposure and density
2) Perceived use7) Reciprocity2) Peripheral2) Central-ization2) Central actors in centralized networks
3) Thresholds8) Simmelian ties3) Bridge3) Clustering3) Bridging actors in clustered networks
4) Indirect ties9) Density
5) SE10) Alter attributes
11) Joint participation
12) Network indicator
DOI: https://doi.org/10.21307/connections-2019.041 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 222 - 235
Published on: Aug 21, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Thomas W. Valente, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.