Dimensions of social networks: A taxonomy and operationalization

• Main Authors: GENKIN, Michael, HARRIGAN, Nicholas, KANAGAVEL, Rajalakshmi, YAP, Janice
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Name Generators; Taxonomy; Tie Types; Multiplex Ties; Dimension Reduction; Social and Behavioral Sciences; Sociology
• Online Access: https://ink.library.smu.edu.sg/soss_research/3535; https://ink.library.smu.edu.sg/context/soss_research/article/4793/viewcontent/Taxonomy_of_Ties.pdf
• Institution: Singapore Management University

What are the basic types of social network ties captured by name generators? While there have been several classifications proposed, and a large proliferation of name generators capturing various tie content has emerged, there is no clear way to map a given name generator to a particular tie type. Building on previous research, this paper proposes a framework for doing so in a principled way based on two studies. Study 1 is a dimension reduction of 24 common name generators. We find two dimensions (Valence and Social Distance), three positive tie types (Admiration, Closeness, Socialize), and three negative tie types (Active Conflict, Passive Conflict, Contempt) and use Youden's J statistic as a metric to identify the name generator that best maximizes sensitivity and specificity for detecting our tie types. We find that the most common name generators used by researchers fall within just one tie type (closeness). Study 2 models these six tie types as predictors and outcomes of important sociological variables and finds that each tie type is associated with distinct patterns of emotions, social support, social status, and social roles. Our taxonomy makes a contribution to network theory as well as study design. In particular, it advances our understanding of the nature of signed ties. We find that negative ties are both bipolar and orthogonal, and distinguish between two types of ambivalence. Moreover, the findings contribute to the further refinement and elaboration of a comprehensive taxonomy of network ties.