Many real-world networks exhibit the phenomenon of edge clustering,which is typically measured by the average clustering coefficient. Recently,an alternative measure, the average closure coefficient, is proposed to quantify local clustering. It is shown that the average closure coefficient possesses a ...
Many real-world networks exhibit the phenomenon of edge clustering,which is typically measured by the average clustering coefficient. Recently,an alternative measure, the average closure coefficient, is proposed to quantify local clustering. It is shown that the average closure coefficient possesses a nu...
as in regular lattices. Communication is efficient because distances are orders of magnitude smaller than the system size. In real networks, the small world property is generally coupled with a high average clustering coefficient. The Watts–Strogatz model...
aIn particular, their average shortest path seems to scale with the square root of the number of stations and the average clustering coefficient is large, consistent with general results associated with two-dimensional spatial networks 特别是,他们的平均shortest path似乎称与驻地的数量的方根,并且平均使...
kompas_dir ="../corpus-local/kompas-txt"G = build_graph(kompas_dir, file_regex)printkompas_dirprint"\tAda "+ str(len(G.nodes())) +" node."print"\tAda "+ str(len(G.edges())) +" edge."print"\tClustering coefficient : "+ str(nx.average_clustering(G))print"\tAverage shortest ...
In general, an OSN is structured into a large number of small, tightly clustered local user communities held together by high degree nodes. Thus, the clustering coefficient is inversely proportional to node degree. It is stated that users in the “core” represent “super nodes” in a two-...
in addition to several summary statistics, including the mean clustering coefficient, the shortest path-length, and the network diameter. The models are ... F Klimm,DS Bassett,JM Carlson,... - 《Plos Computational Biology》 被引量: 112发表: 2014年 Efficient distributed approximation algorithms vi...
For instance, for a standardized weights matrix (i.e., the row sums are scaled to unity), the local Moran is given by Eq. (8): (8)Ii=[(xi−x¯)∑i=1nwij(xj−x¯)]∑i=1n(xi−x¯)2/n, which clearly shows that the local Moran is proportional to the global Moran'...
Clustering coefficientGraph analysisIncremental algorithmRandom walkClustering coefficient is an important measure in social network analysis, community detection and many other applications. However, it is expensive to compute clustering coefficient for the real-world networks, because many networks, such as...
Average clustering coefficient for varying N.Christine, LargeronPierreNicolas, MougelReihaneh, RabbanyOsmar, R. Zaïane