William D Richards
Biographic Data
| ID | 114084 |
|---|---|
| NAME | William D Richards |
| GIVEN NAMES | William D |
| FAMILY NAME | Richards |
| SIGNATURE | RICHARDS W D |
| AFFILIATIONS | Simon Fraser University |
| ORCID | 0000-0002-2042-5124 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 0 |
Networks of Symptoms and Exposures
We present some novel methods for analyzing and visualizing data from medical studies using methods originally developed for the study of social networks. The methods are based on spectral (eigendecomposition) properties of networks, in particular the so-called Normal spectrum. Among the many desirable properties of this spectrum is the natural handling of bipartite (2-mode) networks through negative eigenvalues, the clustering properties related…
Nonrespondents in Communication Network Studies
This article explores problems caused by nonrespondents in sociometric studies of organizational communication and describes how networks that include nonrespondents can be analyzed. An illustrative example is used to conceptualize the problems and issues in analyzing such networks. An empirical study is described that operationalizes the decision criteria for choosing a method of analysis. Suggestions are offered for the design of communication …
The Negopy network analysis program
No prominent works on this page.
The Negopy network analysis program
Nonrespondents in Communication Network Studies
This article explores problems caused by nonrespondents in sociometric studies of organizational communication and describes how networks that include nonrespondents can be analyzed. An illustrative example is used to conceptualize the problems and issues in analyzing such networks. An empirical study is described that operationalizes the decision criteria for choosing a method of analysis. Suggestions are offered for the design of communication …
Networks of Symptoms and Exposures
We present some novel methods for analyzing and visualizing data from medical studies using methods originally developed for the study of social networks. The methods are based on spectral (eigendecomposition) properties of networks, in particular the so-called Normal spectrum. Among the many desirable properties of this spectrum is the natural handling of bipartite (2-mode) networks through negative eigenvalues, the clustering properties related…
Computer Science (3 works) · Mathematics (3 works) · Complex Network Analysis Techniques (2 works) · Data mining (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Bipartite graph (1 work) · Cluster analysis (1 work) · Computer program (1 work) · Contingency table (1 work)