Showing papers in "Social Networks in 1985"

TL;DR: In this paper, the results of a series of experiments conducted to measure the effects of alternative procedures for determining the size of social networks are reported, and three methods tested are recall, recognition, and numerical estimation.

TL;DR: In this article, the authors presented a data-fitting macromodel for each class of group sizes, except for a somewhat less precise description for the class of largest sizes.

TL;DR: A new concept of role similarity is presented; this definition is a generalisation of structural equivalence but is stricter than the idea of regular equivalence of White and Reitz (1983) so a complexity measure can be given a definite meaning in terms of network concepts.

TL;DR: In this paper, the authors re-examine the question of the socialfabric of urban neighborhoods on the basis of residents' personal networks and find that the effects of proximity were more, rather than less, reflected in the spatial distribution of social relationships in the ethnically heterogeneous neighborhoods.

TL;DR: The authors found that participants tend to discount their high frequency co-interactants for whom they, in turn, are relatively low-frequency co interactants, in favor of those with whom they are reciprocally high.

TL;DR: It is shown that use of distance as a measure of similarity without proper attention to appropriate standardization procedures confounds information on differences between means and differences between variances with information on the similarity of the patterns between pairs of individuals.

TL;DR: Research reported in this paper attempts to check approximations and approximation formulas used to explain variation in aggregate network patterns by appeal to differences in local properties affecting linkages between nodes and how these differences cascade to affect the overall structure of the total network.

TL;DR: Diary data significantly understate the actual frequency of communications and diaries can provide usable data as long as one pays attention to the biases inherent in their use.

TL;DR: In this paper, the authors discuss the theoretical utility of using a non-Euclidean spatial manifold when describing social networks and their changes over time, partially because it does not impose Euclidean assumptions on the data.

TL;DR: The field is reviewed, specific techniques are discussed and classified; a guide to selecting techniques is presented and directions for future IOR analysis are given.

TL;DR: Results are presented which suggest close parallels between contingency theories of formal organization and the informal structure case, and are interpreted in light of the informational and other characteristics of informal networks in organizations.

TL;DR: In this paper, the role of communication in network decay is studied and it is argued that as an organization dissolves, it is marked by an increasing number of cliques and factions leading to network stratification.

TL;DR: Examination of changes in network boundaries reveals limitations in the structural analysis of social networks and points to mechanisms and strategies by which network boundaries are drawn and redrawn.

TL;DR: The relation of both empirical and theoretical findings to networking is brought out, as is the potential of computer conferencing for such network-supported applications as the provision of support in health maintenance.

TL;DR: In this paper, the authors developed a model suggesting how one such factor, perceptions of political leadership and the expectations of political conflict they may engender, affect the structure of urban agenda-setting networks.