Track: Engineering Management
Abstract
While globalization and informatization progress, information networks typified by the Internet gets attention. Therefore, the term network is often conscious of strong linkage with information. However, a network is diverse and ambiguous concept that includes not only relation to information but also relation to people, organizations, systems, and the like. Focusing on "network" studies, many researchers are studying from both aspects of social science and natural science. The former are research fields such as interorganizational relations, network organization, communication network, and so on. The latter are research fields such as information networks, information communication networks, graph theory and probability theory, and so on.
Regarding "network" having such diverse and ambiguous meaning, the authors are studying "Network study based on the management information approach". We are examining the diverse and ambiguous features of the network from both formal theory and semantics. In other words, the social scientific approach and the engineering approach are positioned as semantic approaches and formal approaches, respectively.
In this report, we introduce classification criteria of network proposed by us. That is, we show the classification criteria of "network - like network" and "network - unlike network" according to natural approach, especially graph theoretical approach with respect to the meaning of the network in the research filed of social science. In addition, we will introduce the standardized concatenation density for quantifying their connectivity.