Content-based social network analysis methods for data-driven health promotion
Description: In this project, we will integrate qualitative analysis, automated text analysis, and social network models to understand social influence patterns embedded in peer-to-peer communication exchanges. As a component of the proposed study, we will investigate the manifestations of behavior change theories in digital communication platforms related to risky health behaviors and chronic disease management. By enabling the study of content-specific communication events, the proposed research will provide actionable insights into the development of data-driven socio- behavioral interventions that target online communities.
Funding type: research
Funder scheme: R21
Start date: 2015-09-18
End date: 2018-08-31
Investigator: SAHITI MYNENI
Institution: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
Topic: Mental Health via Writing
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Funded outputs count: 6
Funder award ID: R21LM012271
OpenAlex ID: G6186967786
