OSU Navigation Bar

The Ohio State University

College of Arts and Sciences, School of Communication

The Ohio State University School of Communication
alt_banner
Neha Gondal
Neha Gondal
Assistant Professor
614 292-4966
...
614 292-6687
221 Townshend Hall
1885 Neil Ave Mall
Columbus, OH 43210

Qualifications:

Ph. D., 2013, Sociology, Rutgers University

M.A., 2009, Sociology, Rutgers University

M.Sc., 2005, Economics, The London School of Economics and Political Science

B.A. (Honors), 2002, Economics, Shri Ram College of Commerce, Delhi University

Publications:

Gondal, Neha and Paul D. McLean. 2013. " What Makes a Network go Round? Exploring the Structure of Strong Components using Exponential Random Graph Models." Social Networks, 35 (2): 499-513.

Gondal, Neha and Paul D. McLean. 2013. " Linking Tie-meaning with Network Structure: Variable Connotations of Personal Lending in a Multiple-Networks Ecology." Poetics, 41 (2): 122-50.

Gondal, Neha. 2012. “Who ‘fills in’ for Siblings and how? A Multilevel Analysis of Personal Network Composition and its Relationship to Sibling Size.” Sociological Forum 27 (3): 732-55.

Gondal, Neha. 2011. “The Local and Global Structure of Knowledge Production in an Emergent Research Field: An Exponential Random Graph Analysis.” Social Networks 33 (1): 20-30.

Description:

Prof. Gondal’s primary research interests lie at the intersection of social networks and culture. In several of her current research projects, she investigates and theorizes relational meaning and cultural as well as structural emergence using quantitative, interpretive, and mathematical techniques. She regularly utilizes several variants of Exponential Random Graph Models (ERGM) – a cutting edge technique for the statistical modeling of networks - as well as advanced statistical methodologies such as multilevel models (HLM).Using a social networks perspective, her current research spans fields of culture, inequality, social psychology, family, social movements, and knowledge production. She also frequently employs multiple-network data advancing a complex, layered, and contextual approach to social network analysis.

 

 

Social Networks, Culture, Quantitative Methods, Mathematical Sociology