Network theory

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

Summarization and Analysis of Text Using Network Theory

Abstract: The paper focuses on bringing improvization in existing summarization algorithms to get deeper insights into properties of text that gives an edge to explore new relations of sentences in text and helps attain high accuracy The goal is to amalgamate the existing network graph theory and its properties with the existing algorithms to evolve and resolve the unanswered questions and discover new insights to improve the precision and exactness The thought is to develop a novel approach that discovers new ways to summarize using network summarization using significant similarity measures that indeed plays a significant role The paper presents a network embedding approach that helps to find nearest neighbors in the embedding space and make recommendations or clusters depending on similarity The network graph theory provides an edge for visualization of concepts and discovers the relations between different categories

Strategic Public Health Interventions

Abstract: In the discussion concerning network interactions above I gave several example of how to use network theory to intervene against the spread of infectious diseases. In general a policy maker would like to lengthen the characteristic path length in the network. In doing so she may intervene by vaccinating individuals with high degree or high betweenness centrality measures. In doing so it makes the structure of the interaction network less able to efficiently spread an infectious disease. There have been many studies that have looked at these types of strategies in real world populations. For instance, I, along with Philip Polgreen and Alberto Segre, look at how allocating a limited amount of vaccine by giving it first to the individuals with highest degree in the network, as opposed to randomly, greatly limits the spread of infectious disease in a hospital. Others use social interaction data to investigate how different vaccination programs change the expected size of epidemics.

Development of logistics centres by network theory

Abstract: Logistics centres with huge product-stopping capacity and having the ability to create added value have emerged in recent decades. These centres have become network nodes between the co-operating organizations which accomplish the management of supply chains (networks) by connecting different modalities and networks with their infrastructure and informatics background. The effective operation of logistics centres appearing in business networks are usually managed by logistics supplier businesses (3PL/4PL). Defining the supply net as a complex network, logistics centres may be called hubs, the routes and relationships connecting the centres, or – by borrowing the term used in network theory – may be called edges. Taken into consideration the earlier results of network research, the present paper aims to find the correlations between the principles proved by Barabási and the growth possibilities of the centres (hubs) operated by logistics service providers. The conclusions drawn by Csermely concerning cellular networks provide further opportunities for the application of the results of theoretical network science to logistics systems. Considering the references above and the results of empirical research and experience gained among domestic logistics companies, the best responses to the challenges posed by business networks can be recommended to domestic logistics service providers. Furthermore, the results of network research can be set in parallel with the research conducted by Reszegi Juhász on performance enhancement involving 4,600 Hungarian businesses. At the end of the

Comparative evaluation of centrality criterion in a hierarchical network

Abstract: The research of centrality in hierarchical networks is presented in the paper. The characteristics of graph centrality are analyzed and discussed. The basic centrality criteria are defined. The multi-objective assessment of graph nodes is proposed. The appropriate mathematical support and software have been developed within the framework of conducted research. The experimental research of the formulated criteria efficiency has been carried out as well. Keywords: centrality, hierarchical networks, characteristics of centrality, centrality criteria, multi-objective assessment.