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Social Network Analysis

Overview:

Social network analysis is a technique that goes beyond sociology to influence everything from network science more generally, to epidemiology, to systems theory approaches throughout medicine.

The REACH Lab has advanced epidemiological science through the creation of the MABUSE simulation platform, a large agent based network simulator capable of modeling HIV and HCV co-infection dynamics across multiple network layers, and across a range of risk scenarios. More recently we have begun work on two network data collection techniques using smart phones on the one hand (ODIN), and tablet devices on the other (SNAPT). Together, these new software implementations will significantly improve social science network data collection in the field.

Recent Blog Posts for Injection Risk Networks in Rural Puerto Rico

In collaboration with El Punto en la Montaña, our syringe exchange partners in rural Puerto Rico, our team participated in

Duncan I., Curtis R., Reyes J.C., Abadie R., Khan B., Dombrowski, K. 2017. Hepatitis C serosorting among people who inject

Abadie, R., Welch-Lazoritz, M., Dombrowski, K., Khan, B. 2017. “Social Determinants of HIV/HCV Co-Infection: A case Study from PWID in

2016 Kirk Dombrowski, Bilal Khan, Patrick Habecker, Holly Hagan, Samuel R. Friedman, Mohammed Saad “The Interaction of Human Social Systems

2017 Melissa Welch-Lazoritz, Patrick Habecker, Kirk Dombrowski, Angelica Rivera Villegas, Carmen Ana Davila, Yadira Rolón Colón, Sandra Miranda De León,

A new article was published in the Philadelphia Inquirer that focuses on one of Puerto Rico's solutions to the heroin

Funded Projects:

Funding for network-based research at the REACH Lab includes “Injection Drug User Network Topologies and HIV Stabilization Dynamics”  NIDA RC1 DA028476-01, “Network Topological Factors Affecting Long-term Stabilization of HIV Rates Among Injecting Drug Users” National Science Foundation BCS-0752680, “Addressing HCV-related hepatocellular carcinoma: the current and future epidemics” (PI Holly Hagan, NYU) NIDA R01 DA034637, “Applying Behavioral-Ecological Network Models to Enhance Distributed Spectrum Access in Cognitive Radio” National Science Foundation AST-1443985, “Towards a cellphone-based infrastructure for harvesting dynamic interaction network data” National Science Foundation, SMA-1338485, “REU Site: Undergraduate Research Opportunities to Broaden Participation in Minority Health Research” National Science Foundation SMA-1461132, “Modeling Social Behavior via Dynamic Network Interaction” NIGMS R01 GM118427.