Effects of Antimodularity and Multiscale Influence in Random Boolean Networks by Luis A. Escobar, Hyobin Kim, Carlos Gershenson

“…We investigate the effects of modularity, antimodularity, and multiscale influence on random Boolean networks (RBNs). On the one hand, we produced modular, antimodular, and standard RBNs and compared them to identify how antimodularity affects the dynamical behaviors of RBNs. …”
Get full text

A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
Get full text

Study on the Influence of Gear Elastic Deformation on the Dynamic Characteristic of Transmission by He Changran, He Jingliang, He Qu

“…Based on the theory of mechanical dynamics,the influence on dynamic characteristic of transmission is researched when the tooth generated elastic deformation under load.First,in order to build the transmission dynamic analysis model,the stiffness matrix,mass matrix and node positions information of the transmission box are extracted and combined with transmission part virtual assembly.Then,the mesh misalignment,transmission error and tooth contact condition caused by elastic deformation of tooth are calculated.The effect of tooth elastic deformation on meshing quality of gear pair and dynamic characteristic of transmission are analyzed.Finally,according to the theory of elastic-mechanics,the meshing quality is improved through modification of tooth profiles to achieve the purpose of decreasing the dynamic response of gear pair under load.These results provide references for reducing the elastic deformation of tooth effectively and improving the dynamic characteristic of transmission.…”
Get full text

Influence of Non-uniform Wear on Modal Characteristics of Spur Gears by Kaiwen Lu, Juan Zhao, Jie Sun, Menghua Tan, Songnian Liu

“…The influence of non-uniform wear on the modal characteristics of gears under quasi-static condition is studied. …”
Get full text

Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

“…Community detection is an important research topic of complex network analysis.The detection results help to understand the community structure of complex networks and provide support for downstream tasks, such as content recommendation, link detection.Considering the challenge of community detection in complex networks, a two-stage community detection algorithm based on label propagation (TS-LPA) was proposed.The TS-LPA algorithm quantified the propagation capability of nodes based on the extended neighborhood.Then a new evaluation index was proposed to measure the probability of influence between nodes using the information of nodes and the weight of edges in the network.Based on the calculation of node centrality, the algorithm determined the updating sequence of node labels and the selection strategy of seed nodes, which eliminated the instability of the algorithm in the updating process.The TS-LPA algorithm used the breadth-first propagation idea and introduced the second-stage label propagation method to improve the quality of community detection.When label began to spread, all neighboring nodes had an influence on the label of the related node.Meanwhile, the influence of neighboring seed nodes was added to complete label updating, in order to reduce the dominance of neighboring nodes on the updated node.The experimental results of different real data sets and synthetic data sets show that TS-LPA algorithm can eliminate randomness and show strong stability while effectively improving the quality of community detection.…”
Get full text

MAIN FACTORS OF INFLUENCE ON GEOECOSYSTEMS OF WATER BASINS AND RISKS OF THEIR DESTRUCTION by V.O. Iemelianov, P.O. Kiriakov, O.M. Rybak, O.O. Paryshev, L.V. Stupina

Get full text

The Influence of Three Statistical Variables on Self-Similarity in Complex Networks by Mingli Lei, Lirong Liu, Daijun Wei

“…The results reveal that the nodes with large degree and betweenness have great effects on self-similarity, and the influence of coreness on self-similarity is small.…”
Get full text

On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks by Xiaodong Liu, Xiangke Liao, Shanshan Li, Si Zheng, Bin Lin, Jingying Zhang, Lisong Shao, Chenlin Huang, Liquan Xiao

“…In particular, IncInf quantitatively analyzes the influence spread changes of nodes by localizing the impact of topology evolution to only local regions, and a pruning strategy is further proposed to narrow the search space into nodes experiencing major increases or with high degrees. …”
Get full text

Are bacterial communities and aggregation in fragile soils influenced by the management system? by Tiago Paula da Silva, Caio Simões dos Santos Nicolau, Carlos Wagner Ribeiro Junqueira, Gustavo Souza Lima Sant’Anna, Everaldo Zonta, Nivaldo Schultz, Irene da Silva Coelho, Marcos Gervasio Pereira

“…Network analysis revealed NT had more nodes and edges (65 and 406, respectively) than CT (52 and 357, respectively. …”
Get full text

Trust transitivity algorithm based on multiple influencing factors for grid environment by ZHANG Lin1, WANG Ru-chuan1, WANG Hai-yan1

“…A trust deployment scheme based on layered idea was given for grid environment,which reduced the man-agement costs of system.The fine-grain trust model was proposed which was based on interaction capability and honesty ability.It enhanced the rationality of the model.At the same time,4 influencing factors about trust transitivity were dis-cussed,such as cycle path,path length threshold,node honesty threshold and further trust information.On this condition,the trust transitivity algorithm for grid was studied which was based on depth-first traversal.Example and experimental results show that the model and algorithm are feasible and correct.…”
Get full text

Study on Influence of Diversified Parameters of Vehicle and Track on Wheel Hollow Wear by Yongjie Lu, Zongyu Gao, Jianxi Wang

Get full text

Dynamic social network active influence maximization algorithm based on Coulomb force model by Min LU, Guanglu CHEN, Xiaohui YANG, Chunlan HUANG, Guangxue YUE

“…The problem of maximizing influence has become an important research content in social networks,and its influence propagation model and solving algorithm are the key core issues.In order to improve the accuracy of predicting the propagation results,the dynamic change of the number of activated nodes and the trust relationship between the nodes during the propagation process were introduced to improve the IC model.Combining the similarity between social influence and Coulomb force,a dynamic based on trust relationship was proposed,a dynamic social coulomb forces based on trust relationships (DSC-TR) model was proposed,and an optimized random greedy (RG-DPIM) algorithm was constructed to solve the problem of maximum impact.Simulation results show that the prediction accuracy of the DSC-TR model is obviously better than that of SC-B and IC models.The performance of RG-DPIM algorithm is obviously better than that of G-DPIM,IPA and TDIA algorithms.…”
Get full text

UUV Autonomous Decision-Making Method Based on Dynamic Influence Diagram by Hongfei Yao, Hongjian Wang, Ying Wang

“…Considering the complexity and uncertainty of decision-making in the operating environment of an unmanned underwater vehicle (UUV), this study proposes an autonomous decision-making method based on the dynamic influence diagram (DID) and expected utility theory. …”
Get full text

Crack simulation for the cover of the landfill � A seismic design by Mehran Karimpour-Fard, Omer Mughieda, Filippo Berto, Nurmunira Muhammad

“…The collapse of the landfill causes environmental pollution and influences human life. In the present study, the crack on the cover of the landfill was simulated. …”
Get full text

Public opinion model based on super-influencer integrating network community and content by Jianliang WEI, Hao JI, Tengyan TIAN, Shengli ZHOU

“…Aiming at the abnormal deviation and distortion of online public opinion,a public opinion model based on super-influencer integrating network community and content was designed.Deffuant-Weisbuch (DW) model was adopted,and factors such as user relationship,node identity and information noise were incorporated into the model,and the generation of public opinion deviation was simulated through simulation experiments.The results indicate that super-influencer leads to irreversible deviation of network public opinion,controversial content causes opinion fluctuation and convergence,but not the final opinion as a whole.There are differences in the interference effect between strong and weak communities,and by increasing the internal strength and external influence of the community,it can conduct public opinion confrontation with super-influencer,thus reversing the direction of public opinion deviation.…”
Get full text

Study on the Influence of Grooving Parameters of Lapping Gear Vibration System on Vibration Characteristics by Derong Zhu, Na Li, Hao Li, Jianjun Yang, Xiaozhong Deng, Hongmin Xin, Fuquan Nie

“…Under the same conditions concerning the attribute settings， grid partition， and modal analysis settings of the material， the influences of the number， width， length and position on the resonance frequency， vibration mode， displacement node and gear deformation are analyzed by Ansys Workbench； a method for controlling the coupled vibration produced by grooving the transmitted cylinder is established， which can further enrich and improve the existing design theory of the processing vibration system for ultrasonic lapping gears.…”
Get full text

Research on social network influence maximization algorithm based on time sequential relationship by Jing CHEN, Ziyi QI

“…For the time sequential relationship between nodes in a dynamic social network,social network influence maximization based on time sequential relationship was proved.The problem was to find k nodes on a time sequential social network to maximize the spread of information.Firstly,the propagation probability between nodes was calculated by the improved degree estimation algorithm.Secondly,in order to solve the problem that WCM models based on static social networks could not be applied to time sequential social networks,an IWCM propagation model was proposed and based on this,a two-stage time sequential social network influence maximization algorithm was proposed.The algorithm used the time sequential heuristic phase and the time sequential greedy phase to select the candidate node with the largest influence estimated value inf (u) and the most influential seeds.At last,the efficiency and accuracy of the TIM algorithm were proved by experiments.In addition,the algorithm combines the advantages of the heuristic algorithm and the greedy algorithm,reducing the calculation range of the marginal revenue from all nodes in the network to the candidate nodes,and greatly shortens the running time of the program while ensuring accuracy.…”
Get full text

INFLUENCE OF BOUNDARY CONDITION ON COMPRESSIVE STABILITY PERFORMANCE OF STIFFENED THIN-WALL PANEL by ZHANG HaoYu, HE YuTing, ZHANG Fei, SHAO Qing, FENG Yu

“…Simple support and clamped support of loaded ends as well as common used unloaded edge support fixtures,such as blade,bolt and rigid strip,for stability experiment were simulated by defining node constraint conditions of 4 edges of stiffened panel finite element model. …”
Get full text

Study on an Improved Algorithm for Helical Gear Meshing Stiffness and Its Influencing Factors by Liu Ziqian, Sun Yu, Zhou Chaodong, Jiang Yanjun, Feng Nan, Zhao Linyan

“…At the same time, the transverse contact ratio will firstly increase and then decrease. Under the influence of transverse stiffness and transverse contact ratio, the variation trend of average meshing stiffness is the same as that of transverse contact ratio; when the meshing position is closer to the node, the meshing stiffness will increase; an increased total contact ratio will make the average stiffness increase, and the transmission error (TE) decrease as a whole. …”
Get full text

SSRFSC flipping decoding algorithm based on critical simplification set for polar codes by GUO Rui, LIU Yang, HE Meilin, LIU Zhaoting, ZHAO Yinan

“…Corresponding flip metrics and flip criterion were designed according to the decoding characteristics of SSR nodes. Secondly, the CB reliability was measured by considering the influence of repetition sequences and the source of SSR nodes on decoding, and suboptimal repetition sequences were selected to complete SSR node flip operations during specific CB flips. …”
Get full text