Similarity measureComplex networksCommunity detection is to detect groups consisting of densely connected nodes, and having sparse connections between them. Many researchers indicate that detecting community structures in complex networks can extract plenty of useful information, such as the structural ...
the definition of dimensional similarity was proposed to measure the relationship between dimensions.Considering the impact of information attenuation on node importance in actual process of information propagation,the definition of propagation attenuation rate is given.The value of attenuation coefficient is ...
This is a tunable measure for analysing the similarity of nodes across different link weights within a multilayer network. Similarly, Yuvaraj et al. [29] presented a per- spective on multilayer network clustering, using the machinery of topological data analysis to group nodes based on how ...
Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network by mimicking
Although this combination of ‘popularity’ and ‘similarity’ is an attractive proposition, and one that will be echoed in the theory of this paper, these works do not provide an explanation for how the degree distributions of complex networks themselves arise. The literature suggests two major ...
struc2vec uses a hierarchy to measure node similarity at different scales, and constructs a multilayer graph to encode structural similarities and generate structural context for nodes. Numerical experiments indicate that state-of-the-art techniques for learning node representations fail in capturing ...
In wireless networking, the security of flying ad hoc networks (FANETs) is a major issue, and the use of drones is growing every day. A distributed network is created by a drone network in which nodes can enter and exit the network at any time. Because m
To evaluate cell type specificity of each predicted regulon, the regulon specificity score based on the Jensen-Shannon divergence was calculated to measure the similarity between two probability distributions. Cell-cell interactions “CellChat” in R package was used to perform cell-cell communication ...
two similarity measures founded on the clustering coefficient of neighboring nodes. Wu et al.11advanced a technique capable of dynamically predicting the similarity of future node pairs, and calculated the similarity measure for nodes via an algorithm based on node ranking. Zhang et al.12proposed a...
(HITS) type iteration for networks that simultaneously assigns centrality to nodes and edges, whereas, for general hypergraphs, the NPM allows us to compute centrality scores for nodes and general hyperedges. The convergence theory for the NPM is provided in Theorem 2.3. Finally, in the “...