Design of nodes importance assessment method for complex network based on neighborhood information by Xing LI, Jie ZHAN, Baoquan REN, Siqi ZHU

“…Accurate identification of influential nodes in complex networks is crucial for network management and network security.The local centrality method is concise and easy to use, but ignores the topological relationship between neighboring nodes and cannot provide globally optimal results.A node importance assessment method was proposed to correlate the node edge relationship and topology, which firstly applied the H-index and information entropy to assess the nodes, then combined the structural holes of the nodes with the structural characteristics of the nodes, and took into account the attribute of “bridging” while focusing on the node’s own quality and the amount of information about the neighboring nodes.The algorithm was validated by simulating the propagation process using the SIR model, and the Kendall correlation coefficient, complementary cumulative distribution function and propagation influence were applied to validate the validity and applicability of the method.Comparison of the experimental results on six real network datasets shows that the proposed method is more accurate than the traditional centrality methods in identifying and ordering the key nodes in the network.…”
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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Do patients regret having in-office vocal fold injections for glottic insufficiency? by Alice Q. Liu, Yunqi Ji, Amanda Hu

“…Improvement in most recent VHI-10 (Kendall correlation coefficient tau = 0.156, p = 0.029), Grade of voice (tau = 0.236, p value = 0.002) and Breathiness of voice (tau = 0.150, p = 0.044) were associated with lower DRS. …”
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Agency development of high school students in the process of professional self-determination by Evgeniya S. Volkova, Alexander V. Kaptsov

“…Mathematical processing of the obtained data was carried out by using the Wilcoxon T-test to compare changes in parameters over time, and the non-parametric tau-Kendall correlation coefficient to identify relationships. As a result of the study, features of the agency development of high school students in the process of professional self-determination were identified, including the integrity of the stages, the influence of career guidance activities, in this case training, on changes in the states of the stages of agency as well as the relationship between the agency development and the value of the stage for the student and understanding of the necessary steps to achieve the ideal stage level. …”
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Designing supply chain scenarios and investigating how it affects relevant variables in the National Company of Southern Oil-bearing Regions by Amin Mirshekar, Ghanbar Amirnejad, Mohammad Hemati, Ali Kangarani Farahani

“…Delphi method and Kendall's correlation coefficient were used for the validity of the questionnaire, and Cronbach's alpha method was used to calculate the reliability of the research questionnaire. …”
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