Social psychology, Social network, Friendship, Software and Suicide prevention are his primary areas of study. His work on Affection as part of general Social psychology study is frequently connected to Access to information, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. The Social network study combines topics in areas such as Developmental psychology, Mathematical optimization and Diffusion problem.
His study in Developmental psychology is interdisciplinary in nature, drawing from both Romance and Disease transmission. His Friendship study combines topics in areas such as Theoretical computer science, After-school activity, Social integration, Social organization and Interpersonal relationship. His studies in Suicide prevention integrate themes in fields like Injury prevention and Human factors and ergonomics.
The scientist’s investigation covers issues in Social psychology, Friendship, Developmental psychology, Social network and Demography. His Social psychology study combines topics from a wide range of disciplines, such as Embeddedness, Clinical psychology and Race. The study incorporates disciplines such as Social relation, Cohesion, Operationalization and Social group in addition to Embeddedness.
His Friendship research includes elements of Popularity, Peer group, Homophily and Hierarchy. His biological study spans a wide range of topics, including Social integration, Mental health, Health psychology and Association. His Social network research is multidisciplinary, relying on both Social capital, Data science and Normative.
His main research concerns Developmental psychology, Affect, Interpersonal ties, Data science and Demography. His Developmental psychology study incorporates themes from Longitudinal study, Friendship and Ostracism. The concepts of his Data science study are interwoven with issues in Social network analysis, Research ethics, Centrality and Data collection.
His Demography research includes themes of Psychological intervention, Disease cluster and Relative risk, Confidence interval. The study incorporates disciplines such as Social network and Reproductive health in addition to Disease cluster. Particularly relevant to Social network analysis is his body of work in Social network.
His primary areas of study are Node, Path, Concurrency, Reachability and Structural cohesion. In his papers, James Moody integrates diverse fields, such as Node, Theoretical computer science, Process, Graph, Simple and Focus. James Moody integrates several fields in his works, including Path, Representation and Interval.
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Race, School Integration, and Friendship Segregation in America1
James Moody.
American Journal of Sociology (2001)
Structural cohesion and embeddedness: A hierarchical concept of social groups
James Moody;Douglas R. White.
American Sociological Review (2003)
The Structure of a Social Science Collaboration Network: Disciplinary Cohesion from 1963 to 1999
James Moody.
American Sociological Review (2004)
Family Matters: Gender, Networks, and Entrepreneurial Outcomes
Linda A. Renzulli;Howard Aldrich;James Moody.
(2000)
Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks 1
Peter Shawn Bearman;James Moody;Katherine Stovel.
American Journal of Sociology (2004)
Suicide and Friendships Among American Adolescents
Peter Shawn Bearman;James Moody.
American Journal of Public Health (2004)
Dynamic Network Visualization.
James Moody;Daniel McFarland;Skye Bender‐deMoll.
American Journal of Sociology (2005)
Human Resource Management and Organizational Performance
Arne L. Kalleberg;James W. Moody.
American Behavioral Scientist (1994)
Foregone health care among adolescents.
Carol A. Ford;Peter S. Bearman;James Moody.
JAMA (1999)
Concurrent Partnerships and HIV Prevalence Disparities by Race: Linking Science and Public Health Practice
Martina Morris;Ann E. Kurth;Deven T. Hamilton;James Moody.
American Journal of Public Health (2009)
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