A STOCHASTIC-MODEL OF INFORMATION VALUE

Faced with a potentially vast amount of information, how is one to dec ide what is worth searching and when a piece of information is valuabl e? With small quantities of information semantic concepts are useful-t he relevance and significance of a piece of information can be assesse d easily. But with large quantities nan-semantic clues are needed, and ones which require less rich (and therefore easier to scan) informati on. The approach of this paper is to deduce quantitative (rate, flow) and qualitative (value) attributes of information form topological mea sures of organizational information channels.