Nicole Bohme Carnegie
Biographic Data
| ID | 212231 |
|---|---|
| NAME | Nicole Bohme Carnegie |
| GIVEN NAMES | Nicole Bohme |
| FAMILY NAME | Carnegie |
| SIGNATURE | CARNEGIE N B |
| AFFILIATIONS | Montana State University |
| ORCID | 0000-0001-7664-6682 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
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
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 …
Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior Interventions
Leveraging social influence is an increasingly common strategy to change population behavior or acceptance of public health policies and interventions; however, assessing the effectiveness of these social network interventions and projecting their performance at scale requires modeling of the opinion diffusion process. We previously developed a genetic algorithm to fit the DeGroot opinion diffusion model in settings with small social networks and…
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
No Longer an Island
The aim of this study was to assess outcomes from a multilevel social network intervention to promote the health of Black men. Through a community–academic collaboration and using a participatory research approach, we implemented the intervention over 4 years in a 110-block area of an urban neighborhood. The project aimed to implement a neighborhood peer outreach and leadership network to strengthen social support of Black men and increase commun…
Variable Selection and Parameter Tuning for Bart Modeling in the Fragile Families Challenge
Our goal for the Fragile Families Challenge was to develop a hands-off approach that could be applied in many settings to identify relationships that theory-based models might miss. Data processing was our first and most time-consuming task, particularly handling missing values. Our second task was to reduce the number of variables for modeling, and we compared several techniques for variable selection: least absolute selection and shrinkage oper…
What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
In this work, we estimate the proportions of transmissions occurring in main vs. casual partnerships, and by the sexual role, infection stage, and testing and treatment history of the infected partner, for men who have sex with men (MSM) in the US and Peru. We use dynamic, stochastic models based in exponential random graph models (ERGMs), obtaining inputs from multiple large-scale MSM surveys. Parallel main partnership and casual sexual networks…
Integrated or isolated? The impact of public housing redevelopment on social network homophily
Variable Selection and Parameter Tuning for Bart Modeling in the Fragile Families Challenge
Our goal for the Fragile Families Challenge was to develop a hands-off approach that could be applied in many settings to identify relationships that theory-based models might miss. Data processing was our first and most time-consuming task, particularly handling missing values. Our second task was to reduce the number of variables for modeling, and we compared several techniques for variable selection: least absolute selection and shrinkage oper…
Integrated or isolated? The impact of public housing redevelopment on social network homophily
What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
In this work, we estimate the proportions of transmissions occurring in main vs. casual partnerships, and by the sexual role, infection stage, and testing and treatment history of the infected partner, for men who have sex with men (MSM) in the US and Peru. We use dynamic, stochastic models based in exponential random graph models (ERGMs), obtaining inputs from multiple large-scale MSM surveys. Parallel main partnership and casual sexual networks…
Variable Selection and Parameter Tuning for Bart Modeling in the Fragile Families Challenge
Our goal for the Fragile Families Challenge was to develop a hands-off approach that could be applied in many settings to identify relationships that theory-based models might miss. Data processing was our first and most time-consuming task, particularly handling missing values. Our second task was to reduce the number of variables for modeling, and we compared several techniques for variable selection: least absolute selection and shrinkage oper…
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
No Longer an Island
The aim of this study was to assess outcomes from a multilevel social network intervention to promote the health of Black men. Through a community–academic collaboration and using a participatory research approach, we implemented the intervention over 4 years in a 110-block area of an urban neighborhood. The project aimed to implement a neighborhood peer outreach and leadership network to strengthen social support of Black men and increase commun…
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
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 …
Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior Interventions
Leveraging social influence is an increasingly common strategy to change population behavior or acceptance of public health policies and interventions; however, assessing the effectiveness of these social network interventions and projecting their performance at scale requires modeling of the opinion diffusion process. We previously developed a genetic algorithm to fit the DeGroot opinion diffusion model in settings with small social networks and…
Computer Science (5 works) · Machine learning (4 works) · Medicine (4 works) · Social media (4 works) · Population (3 works) · Psychology (3 works) · Sociology (3 works) · Algorithm (2 works) · Complex Network Analysis Techniques (2 works) · Demography (2 works)