Study of Topological Behavior of Some Computer Related Graphs

Abstract

Network theory is the study of graphs such as representing equilibrium relationships or unequal relationships between different objects. A network can be defined as a graph where nodes and / or margins have attributes (e.g. words). Topological index of a graph is a number that helps to understand its topology and a topological index is known as irregularity index if it is greater than zero and topological index of graph is equal to zero if and only if graph is regular. The irregularity indices are used for computational analysis of nonregular graph topological composition. In this paper, we aim to compute topological invariants of some computer related graph networks. We computed various irregularities indices for the graphs of OTIS swapped network \(OP_a\) and Biswapped Networks \(Bsw(Pa).\)

Analysis of Henan Tourism Demand Difference Based on Data Mining and Intelligent Analysis

“…Except for respondents with an annual per capita household income of 500,000 yuan or more, the proportion of respondents with different demographic characteristics choosing a single trip costing less than 30,000 yuan is significantly higher, and the proportion tends to decrease as the single trip cost increases. Based on demographic characteristics, the proportion of those willing to accept single per capita cost above 50,000 yuan was summarized and found that the proportion of men accepting single per capita cost above 50,000 yuan was significantly higher than that of women; as age and income increased [24][25][26], the proportion of those willing to accept single per capita cost above 50,000 yuan increased, and the trend was more obvious in terms of income; in terms of occupation, the proportion of those willing to accept single per capita cost above 50,000 yuan was significantly higher than that of women. In terms of occupation, the top 3 highest proportions were self-employed, employees of enterprises and employees of institutions in order, with the proportion of self-employed choosing much larger than the latter two (Table 6).…”