Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with men
Bibliographic Data
| ID | 19137166 |
|---|---|
| Authors | Kara Johnson (0000-0003-1008-9400, Montana State University, corresponding author), Jennifer L Walsh (0000-0002-6756-3700, Medical College of Wisconsin), Yuri A Amirkhanian (0000-0002-4983-2954, Medical College of Wisconsin), John J Borkowski (0000-0001-7027-593X, Montana State University), Nicole Bohme Carnegie (0000-0001-7664-6682, Montana State University) |
| Year | 2021 |
| Volume | 6 |
| Issue | 1 |
| Publication date | 2021-03-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2364-8228 • E-ISSN: 2364-8228 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s41109-020-00347-2 |
| PMID | 34423110 |
| OpenAlex | W3157544182 |
| Language | EN |
| Citations received | 1 |
| References cited | 26 |
The DeGroot model for opinion diffusion over social networks dates back to the 1970s and models the mechanism by which information or disinformation spreads through a network, changing the opinions of the agents. Extensive research exists about the behavior of the DeGroot model and its variations over theoretical social networks; however, research on how to estimate parameters of this model using data collected from an observed network diffusion process is much more limited. Existing algorithms require large data sets that are often infeasible to obtain in public health or social science applications. In order to expand the use of opinion diffusion models to these and other applications, we developed a novel genetic algorithm capable of recovering the parameters of a DeGroot opinion diffusion process using small data sets, including those with missing data and more model parameters than observed time steps. We demonstrate the efficacy of the algorithm on simulated data and data from a social network intervention leveraging peer influence to increase willingness to take pre-exposure prophylaxis in an effort to decrease transmission of human immunodeficiency virus among Black men who have sex with men
Algorithm · Disinformation · Epidemic model · Genetic algorithm · Machine learning · Population · Public opinion · Social media · Sociology · Complex Network Analysis Techniques · Computer Science · Demography · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics
Ggplot2
Julia
Reaching a Consensus
Social Foundations of Thought and Action
Statistical physics of social dynamics
The Diffusion of Microfinance
Opinion Dynamics
Social network intervention to increase pre-exposure prophylaxis (PrEP) awareness, interest, and use among African American men who have sex with men
House/ball culture and adolescent African-American transgender persons and men who have sex with men
Testing Models of Social Learning on Networks
Demographic Differences in PrEP-Related Stereotypes
Beyond the Ball
Laying the Groundwork for an HIV Prevention Intervention
Applying the Information–Motivation–Behavioral Skills Model to Understand PrEP Intentions and Use Among Men Who Have Sex with Men
Homonegativity, Religiosity, and the Intersecting Identities of Young Black Men Who Have Sex with Men
The role of the Black Church in the lives of young Black men who have sex with men
Belief, Attitude, Intention and Behavior
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |