Showing papers in "Social Networks in 1991"

TL;DR: A new measure of centrality, C, is introduced, based on the concept of network flows, which is defined for both valued and non-valued graphs and applicable to a wider variety of network datasets.

TL;DR: This paper explores the opportunities for the application of network analytic techniques to the problems of criminal intelligence analysis, paying particular attention to the identification of vulnerabilities in different types of criminal organization — from terrorist groups to narcotics supply networks.

TL;DR: In this article, the interplay between social and human capital in the income attainment process of managers is discussed, and a multivariate analysis of a 1986/1987 sample of 1359 top managers of larger companies in the Netherlands is presented.

TL;DR: The authors investigated the consequences of name generators for network data, comparing characteristics of egocentric networks from Wellman's East York survey, Fischer's Northern California Communities Study, the General Social Survey, and their study of networks in 81 Nashville, Tennessee neighborhoods.

TL;DR: In this article, a completely symmetric pair of measures of individual and group centrality is described, where the centrality of groups are a function of the centralities of their members.

TL;DR: Information theory provides methods for both the static and dynamic analysis of network data, and developments can be revealed which were not suggested by the comparison of results of various forms of multivariate analysis for each year separately.

TL;DR: In this article, a meta-analytic integration is reported which summarizes the effects of positional centrality on communication network member behavior and three distinct components of centrality are considered (Degree, Betweenness, and Closeness) along with three classes of behavior (Leadership, Satisfaction, and Participation).

TL;DR: In this paper, the authors describe the structure of relations defining age statuses in the American population, and show that the most severe changes in 1985 were happening to Americans in their late 40s, born at the beginning of World War II and in transition from age status V to status VI.

TL;DR: This paper found that the blackness of black networks is not strengthened by urbanism and there is even some evidence that it is weakened by the urbanization of black communities. But they did not find that black communities were disproportionately overrepresented in the General Social Survey.

TL;DR: The results show the extent to which sampling percentage, the number of trials/estimates, sampling procedure, and network size and density affect the ability of researchers to estimate the point centrality of organizations in networks of information and money transactions.

TL;DR: In this article, the authors present a statistical model which integrates individual, relational and network data, despite their different units of analysis, and analyze how the marital status of Torontonians is related to the kinship composition and social density of their intimate networks.

TL;DR: In this paper, a theoretically based analytical approach is contrasted with a methodologically based one which uses general log-linear models to analyze the pattern of inter- and intragroup relations in such data.

TL;DR: This work uses network analysis as a tool to examine the family without a preconceived definition and shows it is possible to get reliable network data by using survey technique and size of networks, named persons, named relations are reasonably stable.

TL;DR: Children's healthful programs must develop techniques which consider the sociability, visibility, social norms and public acceptance of the behavior, indirect nature of role models, and social support for non- or alternate use.

TL;DR: In a recent article in Social Networks, Donald Elsas described the Scheiblechner model for social interactions and a log linear procedure for estimating its parameters (Elsas 1990) as discussed by the authors, which is similar to the models and estimation methods of Holland and Leinhardt (1981) and Fienberg and Wasserman (1981).

TL;DR: It is shown that altruistic behavior within a single group ~consisting of altruistic and egoistic members will not be a successful strategy, and that on the aggregate level of at least two different groups, the proportion of altruists could increase or at least could be evolutionarily stable, if the altruist behavior will increase the group.

TL;DR: In this article, a maximum likelihood based methodology is presented that allows for the analysis of binary sociometric data, which provides a network representation via estimated path-length or additive trees that indicate the distance between all pairs of members.

TL;DR: I welcome the opportunity to clarify some of the issues raised by Kopp in his critique of my paper and expand upon the topic now, which deserves more than a footnote.