Abstract Multiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack understanding how topology affects their performance, which are more likely better given topological properties network. In this paper, investigate clustering coefficient a network, i.e., probability that neighbours node also connected, alg...

The clustering coefficient C of a network, which is a measure of direct connectivity between neighbors of the various nodes, ranges from 0 (for no connectivity) to 1 (for full connectivity). We define extended clustering coefficients C(h) of a small-world network based on nodes that are at distance h from a source node, thus generalizing distance-1 neighborhoods employed in computing the ordina...

In this paper, we present the Modified K-Means Clustering algorithm Analysis and performance, the clustering analysis can be used to partition the cluster data with number of choice clusters and perform each cluster if it can form properly or not and it can pertain by using the silhouette coefficient method. In this one the silhouette coefficient can apply on the group of author’s Hand G-indice...

The structure of a model has an important impact on information dissemination. Many models hypernetworks have been proposed in recent years, which nodes and hyperedges represent the individuals relationships between individuals, respectively. However, these select old based preference attachment ignore effect aggregation. In real life, friends are more likely to form friendships with each other...

Functional brain networks detected in task-free ("resting-state") functional magnetic resonance imaging (fMRI) have a small-world architecture that reflects a robust functional organization of the brain. Here, we examined whether this functional organization is disrupted in Alzheimer's disease (AD). Task-free fMRI data from 21 AD subjects and 18 age-matched controls were obtained. Wavelet analy...

Introduction Contrary to Diagnostic and Statistical Manual of Mental Disorders (DSM-5), fifth edition, some studies indicate that ADHD-inattentive presentation (ADHD-I) is a distinct diagnostic disorder and not an ADHD presentation. Methods In this study, 12 ADHD-combined presentation (ADHD-C), 10 ADHD-I, and 13 controls were enrolled and their resting state EEG recorded. Following this, a gr...

In this paper we show that diversity-driven widening, the parallel exploration of the model space with focus on developing diverse models, can improve hierarchical agglomerative clustering. Depending on the selected linkage method, the model that is found through the widened search achieves a better silhouette coefficient than its sequentially built counterpart.

Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analysis, and has attracted much research interest recently. Many link prediction methods have been proposed to solve this problem with various technics. We can note that clustering information plays an important role in s...