Showing papers on "Network theory published in 1991"
Book•
30 Dec 1991TL;DR: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles and Clusters Dimensions and Displays Appendix Social Network Packages
Abstract: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles, and Clusters Dimensions and Displays Appendix Social Network Packages
5,638 citations
TL;DR: A new measure of centrality, C, is introduced, based on the concept of network flows, which is defined for both valued and non-valued graphs and applicable to a wider variety of network datasets.
996 citations
TL;DR: It is proposed that the network stores and retrieves large, complex patterns consisting of multiple epitopes separated in time and space, capable of perceiving an entire bacterium, and of storing the time course of a viral infection.
24 citations
TL;DR: In this paper, the authors discuss changes in approach to the study of business relationships, and see the paradigm concept as constituting an inadequate basis for describing gradually evolving changes in the perception of business.
19 citations
15 Apr 1991
TL;DR: This paper motivates the geometrical approach of nonlinear dynamical networks by means of a simple example and outlines the theoretical foundations of this theory and discusses some results.
Abstract: In this paper we start with some historical remarks about nonlinear network theory and motivate the geometrical approach of nonlinear dynamical networks by means of a simple example. Then we outline the theoretical foundations of this theory and discuss some results. Finally, we refer to geometric approaches in physics and in other areas of engineerings and explain the common features and the differences between electrical network theory and classical mechanics.
6 citations
11 Jun 1991
TL;DR: It is concluded that the performance of a robot using the fuzzy neural-logic network controller will be significantly improved because it can handle the logical 'DON'T KNOW' operations so that it provides not only the conventional pattern matching capability, but also the inferencing capability.
Abstract: The application of the fuzzy neural-logic network theory to improve the performance of controlling a robot is explored. Neural-logic is a three-valued logic and as such it can represent many more logical variations than the two-valued Boolean logic, e.g., the neural-logic network can implement the logical 'NOT' operation, which is essential for logical inference. It is concluded that the performance of a robot using the fuzzy neural-logic network controller will be significantly improved because it can handle the logical 'DON'T KNOW' operations so that it provides not only the conventional pattern matching capability, but also the inferencing capability. >
5 citations
TL;DR: In this article, an integral equation method for analysis of electrical networks as electromagnetic boundary value problems is described. But the authors do not specify exact geometrical form of the network and the interconnecting conductors, as opposed to the classical network analysis, in which topological properties of the networks are of sole interest.
Abstract: The paper describes an integral equation method for analysis of electrical networks as electromagnetic boundary value problems. This means that it is necessary to specify exact geometrical form of the network and the interconnecting conductors, as opposed to the classical network analysis, in which topological properties of the network are of sole interest. The network elements can be in the form of point (i.e., very small) generators, resistors, capacitors, inductors, and their combinations, or in the form of cylinders with distributed resistive and/or capacitive or inductive loading. Numerical results are in excellent agreement with experimental results far above the classical network theory frequency limit.
1 citations
07 Apr 1991
TL;DR: The author reviews the principles by which electronic network theory can be generalized to a physical systems theory and then specifically applied to living systems.
Abstract: The author reviews the principles by which electronic network theory can be generalized to a physical systems theory and then specifically applied to living systems. The basic steps in building a network model are recognizably the same as those used in electronics. A short summary of the impact of network theory on fundamental physics is given, and the field of network thermodynamics is introduced. Some important contributions to the structure of thermodynamics and to systems theory are mentioned. >