Internationl Network for Social Network Analysis

   Member Profile : jimi adams   
Contact Information
Address:                                        -Map Me-
jimi adams
Arizona State University, School of Social and Family Dynamics
525 W Willetta St
#3
Phoenix, AZ, United States 85003

Phone : 646-379-0637

E-mail : jimi.adams@asu.edu
Website : http://www.public.asu.edu/~jadams27/
Bibliographic Information

adams, j. & Trinitapoli,J. (2009). The Malawi Religion Project: Data collection and Selected Analyses. Demographic Research, 21 (10), 255-288.

Adams, J. & Moody,-. (2007). To Tell the Truth? Measuring Concordance in Multiply-Reported Network Data.. Social Networks, 29, 44-58

 
Software & Data Active Calendar Listings

 

 
 
Network Graduate Programs Network Courses

 

 
 
Jobs Posted Sunbelt Submissions

 

Sunbelt XXIX - March 10 to March 15, 2009 - Bahia Hotel
Abstract : When Researchers Reflect their Field: the Clustering of HIV/AIDS (Research) within (Academic) Populations
Co-authorship, (co-)citation, and semantic network analyses of literature can provide crucial insights into the organization of scientific fields. HIV/AIDS research is among the highest funded health-related topics, and draws researchers from a wide range of academic disciplines. While integration could provide comprehensive responses to the epidemic, potentially improve prevention efforts, and advantage the fight against HIV/AIDS in other ways, it is unclear how much this cross-field interaction actually occurs. In this project, I use all published articles from the two primary multi-disciplinary journals for HIV/AIDS research – AIDS and JAIDS – to examine one representation of the organization of published HIV/AIDS research. For this paper, I present preliminary descriptive analyses of a combination of these networks to examine how topics are organized within the field, and how that organization reflects integration across traditional disciplinary boundaries or clustering into problem-based, scientific or segmented communities. Also, while network analysis of literature topics is well established and uses a common set of measures for reflecting these patterns; I describe several additional elements that can be extracted from published articles to provide important insights into the structure of HIV/AIDS research.
SunBelt XXX - June 29 to July 04, 2010 - Riva del Garda Fierecongressi
Abstract : The Spread of HIV/AIDS Research: Topic Structures in AIDS and JAIDS, 1988-2008
Surprisingly, few studies analyze the scientific structure of HIV/AIDS research despite its obvious importance to public health policy. Previous research focuses mainly on small portions of the field, identified either by sub-areas or geography. Taking a wider view, any gaps in the system of overlapping relations between research topics – known as topic structure – can dramatically impede progress in the field. Specifically, the topic structure is embedded in the social structure of the HIV/AIDS research community and can identify dissonance and fissures within this broad community with substantial implications for the development and dissemination of new ideas. Using a corpus of leading journals in HIV/AIDS research, we develop and test several network models of scientific production based on topic structure. First, we identify topics within these papers by using latent dirichlet allocation (LDA) (Blei, Ng, and Jordan 2003) following recent developments in machine learning. Next, we construct two dynamic network models based on the identified topics evaluating both the topic and author-topic structure over time. Focusing on topic modularity, we analyze the extent to which research on HIV/AIDS has changed within these publications based on the content of the research itself. We derive substantive conclusions about the field of HIV/AIDS research and methodological conclusions about the use of LDA in science studies.