Network theory

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

Keywords Extraction from Chinese Document Based on Complex Network Theory

Abstract: Keywords extraction is the process of choosing several words from a document to express its main idea. Keywords help people understand an article quickly and clearly. In recent years, more and more researchers pay attention to its research since its important role in text clustering, text classification, automatic abstracting, and text retrieval. This paper proposes an algorithm called EC-DC to extract keywords based on centrality measures of complex network. A document is mapped to a network with its words mapped to vertices and relations between words mapped to edges. Then, the importance of words is evaluated using eccentricity centrality and degree centrality. The most important K words are extracted as keywords. Experimental results show that the EC-DC algorithm has an improvement of about 9% in precision, recall and F-score compared to classical TFIDF algorithm.

Network centrality, failure prediction and systemic risk

Abstract: Perceiving the market as an interconnected network permits us to measure each firms’ embeddedness and connectivity in the market using network-based centrality measures. This paper investigates firms’ centrality in the market network as an explanatory variable in corporate failure prediction and also as a systemic risk measure. First, when analyzing the CDS spreads, I find that high central firms have lower average CDS spreads and are less prone to jump events comparing to low central firms. Second, the centrality is found to be negatively related to failure and bankruptcy probability; implying that peripheral firms in the network are more likely to fail. Third, centrality as a systemic risk measure appears to contain predictive power in out-of-sample analysis. Fourth, analyzing the centrality distribution before the 2007/2008 crisis, I find that there were a small number of firms highly embedded in the market network while after the crisis, the distinction between firms’ centrality diminishes. Fifth, the financial industry is found to be highly central and embedded in the market compared to other industries before the crisis. Keyboard: Network theory, Failure prediction modeling, Systemic risk 1 Abalfazl Zareei is at the Department of Business Administration, Universidad Carlos III de Madrid, c/ Madrid 126, 28903 Getafe (Madrid, Spain) azareei@emp.uc3m.es

Network Design Using Econets

Abstract: From the Publisher: The author clearly guides you through everything you need to know - and do - to build a reliable, user-friendly, cost-effective network of any kind for any enterprise. Apply proven methodologies to design, model, and implement all types of practical networks quickly and economically, using integrated broadband technologies that support voice, data, image, and video applications with equal facility. You'll also get actual hands-on design procedures for automatic call distribution (ACD), common channel signaling (CCS), personal communication systems (PCS) and other enterprise-essential systems. Master network theory without the mathematical complexity as you go directly to modeling a variety of topologies for optimum reliability and cost-effectiveness. Answer tough questions about any networking system with practical guidance and clearly explained concepts, reinforced by numerous examples and exercises - all of which are stored as text files on the accompanying diskette, which also includes a network design application software package, EcoNets.