Sentence examples for characteristics of graphs from inspiring English sources

One of the most relevant characteristics of graphs representing real systems is the structure of communities, i.e., the organization of vertices into clusters, with many edges between the vertices of the same cluster and relatively few edges connecting vertices of different clusters.

In a complex network, the node degree and degree sequence are the two basic characteristics of graph.

An important characteristic of graph-based method as stated in [17] is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

The unique characteristic of graph theory compared with the more traditional univariate fMRI methods is that graph theory can serve as a tool to directly describe and compare different brain networks utilizing topological parameters such as clustering-coefficient, characteristic path length, degree of connectivity, centrality, and modularity [ 106].

The choice of RNG graph is motivated by the topological characteristics of these graphs that are connexe and sparse.

The aim is for students to understand the origin and characteristics of the graphs of sin(x) and cos(x).

This analysis is complemented by examining other characteristics of the graphs such as connectivity and centrality measures.

Table 5 shows basic topological characteristics of obtained graphs.

Nevertheless, some topological characteristics of the graphs representing the networks - namely non-random degree distribution and high clustering coefficient - are shared by networks of distantly related organisms.

Implicit knowledge is extracted as structural characteristics of the graph.

Depending on the characteristics of the graph, a diversity of centrality measures exists.