Studying on the node’s influence and propagation path modes in microblogging by Hong YU, Xian YANG

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Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks by Satoshi Furutani, Tatsuhiro Aoshima, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

“…To address this issue, we consider the problem of suppressing the negative influence that emerges endogenously on social networks through preemptive node interventions, such as persuasion, nudging, or warnings. …”
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Identification of key node groups based on motif structure and degree information by Yunyun YANG, Liao ZHANG, Hailong YU, Li WANG

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The Frequency of Mediastinal Lymph Node Calcification in Sarcoidosis Patients and the Influencing Factors by Pelin Pınar Deniz, Pelin Duru Çetinkaya, Saida Mehdiyeva, İsmail Hanta

“…<i>Background and Objectives</i>: This study investigates the prevalence of calcification in mediastinal lymph nodes among sarcoidosis patients and the influencing factors. …”
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Research on seed node mining algorithm in large-scale temporal graph by Xiaohong ZOU, Chengwei XU, Jing CHEN, Biao SONG, Mingyue WANG

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Influence maximization algorithm of social networks based on Transformer model by YU Shuke, YAO Yao, YAN Chenxue

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Key node identification algorithm for complex network based on improved grey wolf optimization by Qiuyang GU, Bao WU, Zhaoyang SUN, Renyong CHI

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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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Clinicopathological Factors Influencing Lymph Node Yield in Colorectal Cancer: A Retrospective Study by Elena Orsenigo, Giulia Gasparini, Michele Carlucci

“…We have retrospectively analysed the data of 2319 curatively resected colorectal cancer patients in San Raffaele Scientific Institute, Milan, between 1993 and 2017 (1259 colon cancer patients and 675 rectal cancer patients plus 385 rectal cancer patients who underwent neoadjuvant therapy). The factors influencing lymph node retrieval were subjected to uni- and multivariate analyses. …”
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Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China by Qipeng Sun, Xiaozhuang Guo, Wenjing Jiang, Haiying Ding, Tingzhen Li, Xingbo Xu

“…Then, the time evolution law of the importance of the provincial nodes is analyzed comprehensively, and, using a regression model, the influencing factors of the importance of the provincial nodes are identified. …”
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Influence of Salvia miltiorrhizae on the Mesenteric Lymph Node of Rats with Severe Acute Pancreatitis or Obstructive Jaundice by Zhang Xiping, Zhang Jie, Ye Shuyun, Wang Qili, Feng Guanghua, Pan Yan

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Influence of Obesity Parameters on Different Regional Patterns of Lymph Node Metastasis in Papillary Thyroid Cancer by Wan-Xiao Wu, Jia-Wei Feng, Jing Ye, Gao-Feng Qi, Li-Zhao Hong, Jun Hu, Sheng-Yong Liu, Yong Jiang, Zhen Qu

“…In men with PTC, high BFP was an independent predictor of total LNM, central lymph node metastasis (CLNM), total lateral lymph node metastasis (LLNM), multiple lateral lymph node metastasis, and simultaneous metastasis in lateral compartment. …”
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A Two-Level Iterative Node Importance Evaluation of Aircraft Function Modules Based on Influence Matrix by Chang Liu, Jinyan Wang, Kangxing Wang

“…In view of this situation, this paper researches the two-level iterative method of evaluating the importance of aircraft function modules. The influence matrix was constructed by using the node access probability calculated by the PageRank algorithm and the function module weight calculated based on centrality. …”
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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

“…We show that EDB arises from the inherent design of GNNs, where nodes with high or low degrees disproportionately influence output logits used for decision-making. …”
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Environmental Efficiency of Node Cities in Chinese Section of Silk Road Economic Zone and Its Influencing Factors by Lei Zhang, Xinyu Peng

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Stem cutting, rooting, and shoot growth potentials of some hedge plant species as influenced by number of nodes by Christina Olusola Owolabi, Olukemi Ifetola Adediran, Chimezie Udeh, Deborah Oyinlola Fasasi, Jacob Goke Bodunde

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Can factors that influence nodal dissemination in patients with colorectal cancer be identified? Own experience by Konrad P. Zaręba, Justyna Zińczuk, Tomasz Dawidziuk, Mariusz Rosołowski, Anna Pryczynicz, Katarzyna Guzińska-Ustymowicz, Bogusław Kędra

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Spreading Social Influence with both Positive and Negative Opinions in Online Networks by Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li

Subjects: “…influence spread…”
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Visual Environment Factors Influencing Staying Behaviors During Cycling on Countryside Greenways by Ting WEN, Yun ZHANG, Ming DU

“…Moreover, the visual environment’s influence varies between nodes and road sections; staying behaviors at nodes are primarily affected by the visual field area, while those on road sections are influenced by green visibility, with higher greenery levels promoting impromptu short stays.ConclusionThis research endeavors to develop spatial strategies for enhancing the staying behaviors of cyclists on countryside greenways, with a view to improving the usage intensity of greenway nodes and ensuring the safety of road segment traversal. …”
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Node characteristic and propagation model in microblog forwarding network by Jin LI, Zilong YANG

“…Microblog is an important social network with rapid propagation speed and great influence.The network influence is determined by users' node characteristic.Nodes' degree and propagation model in microblog forwarding network were investgated.Firstly,microblog forwarding network was constructed through distinguishing information flow direction.Secondly,the mean and variance of out-degree and in-degree were discussed.The difference between out-degree and in-degree was clarified.Finally,the simulation shows that the direction characteristic of edge has significantly influence on information propagation.The propagation becomes harder and propagation range diminishes while percolation threshold rises in directed graph under the same probability.…”
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