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Social Network Analysis


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

Ongoing results of studies concerning the United States War on Drugs uncover how policies have raised the incarceration rates of

While injection drug use poses a large risk for the spread of infectious diseases like HIV and HCV, people who

Substance use of all varieties has seen great demographic shifts throughout the United States in the past century. While attention

In Puerto Rico, the urgency of HIV infection is visible in shear numbers: the rate of diagnosis is the fourth

A group from the REACH Lab recently published a research paper in the 36th volume of the Puerto Rico Health Science

The REACH Lab's director of data analysis, Patrick Habecker, and principle investigator, Kirk Dombrowski, worked with other researchers to publish

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.