Homophily

Abstract: Similarity breeds connection. This principle—the homophily principle—structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange, comembership, and other types of relationship. The result is that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics. Homophily limits people's social worlds in a way that has powerful implications for the information they receive, the attitudes they form, and the interactions they experience. Homophily in race and ethnicity creates the strongest divides in our personal environments, with age, religion, education, occupation, and gender following in roughly that order. Geographic propinquity, families, organizations, and isomorphic positions in social systems all create contexts in which homophilous relations form. Ties between nonsimilar individuals also dissolve at a higher rate, which sets the stage for the formation of niches (localize...

Abstract: This article presents a network analysis of word-of-mouth referral behavior in a natural environment. The relational properties of tie strength and homophily were employed to examine referral behavior at micro and macro levels of inquiry. The study demonstrates different roles played by weak and strong social ties. At the macro level, weak ties displayed an important bridging function, allowing information to travel from one distinct subgroup of referral actors to another subgroup in the broader social system. At the micro level, strong and homophilous ties were more likely to be activated for the flow of referral information. Strong ties were also perceived as more influential than weak ties, and they were more likely to be utilized as sources of information for related goods.

Abstract: Herminia Ibarra Harvard University This paper argues that two network mechanisms operate to create and reinforce gender inequalities in the organizational distribution of power: sex differences in homophily (i.e., tendency to form same-sex network relationships) and in the ability to convert individual attributes and positional resources into network advantages. These arguments were tested in a network analytic study of men's and women's interaction patterns in an advertising firm. Men were more likely to form homophilous ties across multiple networks and to have stronger homophilous ties, while women evidenced a differentiated network pattern in which they obtained social support and friendship from women and instrumental access through network ties to men. Although centrality in organization-wide networks did not vary by sex once controls were instituted, relative to women, men appeared to reap greater network returns from similar individual and positional resources, as well as from homophilous relationships.'

Abstract: A recursive analysis of network and institutional evolution is offered to account for the decentralized structure of the commercial field of the life sciences Four alternative logics of attachment—accumulative advantage, homophily, follow‐the‐trend, and multiconnectivity—are tested to explain the structure and dynamics of interorganizational collaboration in biotechnology Using multiple novel methods, the authors demonstrate how different rules for affiliation shape network evolution Commercialization strategies pursued by early corporate entrants are supplanted by universities, research institutes, venture capital, and small firms As organizations increase their collaborative activities and diversify their ties to others, cohesive subnetworks form, characterized by multiple, independent pathways These structural components, in turn, condition the choices and opportunities available to members of a field, thereby reinforcing an attachment logic based on differential connections to diverse partners

Abstract: 1. Networks and Flows in Organizational Communication PART I: THE MULTITHEORETICAL, MULTILEVEL FRAMEWORK 2. Network Concepts, Measures, and the Multitheoretical, Multilevel Analytical Framework 3. Communication and Knowledge Networks as Complex Systems 4. Computational Modeling of Networks PART II: SOCIAL THEORIES FOR STUDYING COMMUNICATION NETWORKS 5. Theories of Self-Interest and Collective Action 6. Contagion, Semantic, and Cognitive Theories 7. Exchange and Dependency Theories 8. Homophily, Proximity, and Social Support Theories 9. Evolutionary and Coevolutionary Theories PART III: INTEGRATION 10. MultiTheoretical, Multilevel Models of Communication and Other Organizational Networks Appendix: Data Sets Used in Chapter 2 References Author Index Subject Index