Network theory

About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.

A study on ERP system software selecting evaluation based on fuzzy neural network model

Abstract: It is a key point for realizing the objects of enterprise information-based construction that whether the ERP system can successfully applied and implemented. For the Chinese enterprise which foundation of information-based is weak, the enterprise usually faces many bemusements for selecting ERP system and implementing ERP system, because of the complicacy of ERP system. The fuzzy comprehensive evaluation is a multiattribute comprehensive evaluation method. The weight of membership function is so subjective that the application of the method conditionality. The BP neural network can objectively evaluate different methods. The paper combines fuzzy evaluation method with BP network theory. The fuzzy neural network model takes advantage of fuzzy theory and BP network. From network learning, the paper can achieve the optimization degree of ERP system and an accurate evaluation. The paper study how to select ERP system based on the fuzzy neural network model.

Social patterns revealed through random matrix theory

Abstract: Despite the tremendous advancements in the field of network theory, very few studies have taken weights in the interactions into consideration that emerge naturally in all real world systems. Using random matrix analysis of a weighted social network, we demonstrate the profound impact of weights in interactions on emerging structural properties. The analysis reveals that randomness existing in particular time frame affects the decisions of individuals rendering them more freedom of choice in situations of financial security. While the structural organization of networks remain same throughout all datasets, random matrix theory provides insight into interaction pattern of individual of the society in situations of crisis. It has also been contemplated that individual accountability in terms of weighted interactions remains as a key to success unless segregation of tasks comes into play.

A Comparative Review on Different Social Network Analytical Tools

Abstract: With the evolution of Web 2.0, Social Networking sites like Facebook, Twitter, Instagram and similar platforms have gained wide popularity. They provide an in-depth of knowledge about users and the relationships between them. In order to analyse and extract meaningful information from these vast social network data, special graphical mining tools are needed that can efficiently model the characteristics of social networks. A variety of tools are available for Social Network Analysis, where raw network information can be formatted in an edge list, adjacency list, or adjacency matrix, often coupled with attribute information. We compare major tools and packages for analysing and visualising social networks that have a broad variety of applications covering genetics, economics, sociology, network theory, and several other domains. This work provides a comparison based on platform, license, file formats supported, layout and visualization and available metrics.

Centrality Measures in Interval-Weighted Networks.

Abstract: Centrality measures are used in network science to evaluate the centrality of vertices or the position they occupy in a network. There are a large number of centrality measures according to some criterion. However, the generalizations of the most well-known centrality measures for weighted networks, degree centrality, closeness centrality, and betweenness centrality have solely assumed the edge weights to be constants. This paper proposes a methodology to generalize degree, closeness and betweenness centralities taking into account the variability of edge weights in the form of closed intervals (Interval-Weighted Networks -- IWN). We apply our centrality measures approach to two real-world IWN. The first is a commuter network in mainland Portugal, between the 23 NUTS 3 Regions. The second focuses on annual merchandise trade between 28 European countries, from 2003 to 2015.