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Journal ArticleDOI

Structural inference in organizations

TLDR
In this paper, the sampling probability distributions of the number of links and the cumulative distribution of the numbers of components are derived for structural properties in an organization, and the probability estimates of both the number and the component counts are derived.
Abstract
This paper considers the statistical inference of structural properties in organizations. Specifically, the sampling probability distributions of the number of links and the cumulative distribution of the number of components are determined. Probability estimates of both the number of links and the number of components are then found.

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Citations
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Journal ArticleDOI

Network Sampling: Some First Steps

TL;DR: In this article, a method for sampling average acquaintance volume (the average number of people known by each person) from large populations and derives confidence limits on the resulting estimates is presented.
Journal ArticleDOI

Survey sampling in graphs

TL;DR: In this paper, the Horvitz-Thompson estimation theory is applied to snowball sampling and some other sampling procedures using a known or unknown graph structure in the survey population, and simple graph-parameter estimators and variance estimators are obtained which are based on various kinds of partial information about the graph.

Estimation of the Number of Connected Components in a Graph by Using a Sampled Subgraph

Ove Frank
TL;DR: In this paper, the number of connected components in an unknown parent graph is estimated by using a sampled subgraph, where the subgraph is sampled from a transitive graph and a forest.
Journal ArticleDOI

Sampling and Inference in a Population Graph

TL;DR: In this paper, a review of some of the statistical inference problems which have been considered in connection with sampling from a population graph has been presented, along with an overview of the methods used to solve them.
References
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Book

A seminar on graph theory

TL;DR: In this paper, the authors present a coherent body of graph theoretic concepts, including complete bipartite graphs, extremal problems in graph theory, applications of probabilistic methods to graph theory and composite games.
Journal ArticleDOI

An introduction to probability, decision, and inference

M. J. Symons
- 01 May 1971 - 
TL;DR: In this paper, an Introduction to Probability, Decision, and Inference Technometrics: Vol 13, No 2, pp 450-450 and No. 2, No.
Journal ArticleDOI

Probability distributions of random variables associated with a structure of the sample space of sociometric investigations

TL;DR: In this paper, a disjoint decomposition of the total sample space for $n$-person, one-dimensional sociometric investigations is presented. But this decomposition is not suitable for the analysis of communication networks.
Book

Sampling from a graph