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Detection approach for unusable shared bikes enabled by reinforcement learning and pagerank algorithm

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Journal of Safety Science and Resilience 2023年第2期4卷 220-227页

作者： Yu Zhou Ran Zheng Gang Kou Colege of Economics and Management Inner Mongolia UniversityHohhot 010021China School of Business Administration Southwestern University of Finance and EconomicsChengdu 611130China

Existing research models can neither indicate the availability of shared bikes nor detect unusable ones owing to a lack of information on bike maintenance and *** improve awareness regarding the availability of shared bikes,we propose an innovative approach for detecting unusable shared bikes based on reinforcement learning and the pagerank *** proposed method identifies unusable shared bikes depending on the local travel data and provides a ranking of the shared bikes according to their availability *** a sliding time window,the value function for the reinforcement learning model was determined by considering the cumulative number of unavailable shared bikes,the proportion of rental cancelations at the same stations,and the mean time between the *** learning was then used to identify shared bikes with the worst *** availability ranking for the shared bikes below the reward threshold was performed using the pagerank *** proposed detection approach was applied to a trip dataset of a real-world bike-sharing system to illustrate the modeling process and its *** detection results of unusable shared bikes in the absence of failure and feedback data can provide essential information to support the maintenance management decisions regarding shared bikes.

关键词： Bike-sharing system Bike availability Maintenance Failure Shared bike Intelligent transportation Reinforcement learning pagerank algorithm Detection

Improved Key Node Recognition Method of Social Network Based on pagerank algorithm

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Computers, Materials & Continua 2023年第1期74卷 1887-1903页

作者： Lei Hong Yiji Qian Chaofan Gong Yurui Zhang Xin Zhou Jiangsu Police Institute Nanjing210000China Nanjing Police Station Nanjing210000China System Consulting Pty Ltd. Sydney201101Australia

The types and functions of social networking sites are becoming more abundant with the prevalence of self-media culture,and the number of daily active users of social networking sites represented by Weibo and Zhihu continues to *** are key node users in social *** with ordinary users,their influence is greater,their radiation range is wider,and their information transmission capabilities are *** key node users playimportant roles in public opinion monitoring and hot event prediction when evaluating the criticality of nodes in social networking *** order to solve the problems of incomplete evaluation factors,poor recognition rate and low accuracy of key nodes of social networking sites,this paper establishes a social networking site key node recognition algorithm(SNSKNIS)based on pagerank(PR)algorithm,and evaluates the importance of social networking site nodes in combination with the influence of nodes and the structure of nodes in social *** article takes the Sina Weibo platform as an example,uses the key node identification algorithm system of social networking sites to discover the key nodes in the social network,analyzes its importance in the social network,and displays it visually.

关键词： Social networking site pagerank algorithm key node

A Bias-Free Time-Aware pagerank algorithm for Paper Ranking in Dynamic Citation Networks

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Intelligent Information Management 2022年第2期14卷 53-70页

作者： Moath Abu Dayeh Badie Sartawi Saeed Salah Department of Computer Science Al-Quds University Jerusalem Palestine

The process of ranking scientific publications in dynamic citation networks plays a crucial rule in a variety of applications. Despite the availability of a number of ranking algorithms, most of them use common popularity metrics such as the citation count, h-index, and Impact Factor (IF). These adopted metrics cause a problem of bias in favor of older publications that took enough time to collect as many citations as possible. This paper focuses on solving the problem of bias by proposing a new ranking algorithm based on the pagerank (PR) algorithm;it is one of the main page ranking algorithms being widely used. The developed algorithm considers a newly suggested metric called the Citation Average rate of Change (CAC). Time information such as publication date and the citation occurrence’s time are used along with citation data to calculate the new metric. The proposed ranking algorithm was tested on a dataset of scientific papers in the field of medical physics published in the Dimensions database from years 2005 to 2017. The experimental results have shown that the proposed ranking algorithm outperforms the pagerank algorithm in ranking scientific publications where 26 papers instead of only 14 were ranked among the top 100 papers of this dataset. In addition, there were no radical changes or unreasonable jump in the ranking process, i.e., the correlation rate between the results of the proposed ranking method and the original pagerank algorithm was 92% based on the Spearman correlation coefficient.

关键词： Bibliometric Citation Analysis pagerank algorithm Scientific Publications Metrics Time-Aware

Key Nodes Mining in Transport Networks Based on pagerank algorithm

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Key Nodes Mining in Transport Networks Based on PageRank Alg...

A pagerank-Based WeChat User Impact Assessment algorithm

2009中国控制与决策会议

作者： Gao Lianxiong~(1,2),Wu Jianping,Liu Rui~3 1.School of Computer,Beijing University of Posts & Telecommunications,Beijing 100876 2.School of Physics & Electronics,Yunnan Nationalities University,Kunming 650031,China 3.School of Resources-environment and Geoscience,Yunnan University,Kunming 650091,China

＜正＞Transport networks display the features of complex networks,in which the vertices importance measurement is *** analyzing some classic importance measurements and the characteristics of transport networks, NodeRank,a new method based on pagerank algorithm,is proposed in this paper to measure the importance of vertices in transportation *** the constraint equation is deduced and the existence and uniqueness of solutions are *** solving algorithm is described and its convergence is ***,we present a case applying our method to mining key nodes in a real-world transport network.

关键词： Complex Network pagerank algorithm Transport Network Key Nodes Mining

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Journal of New Media 2021年第2期3卷 53-62页

作者： Qiong Wang Yuewen Luo Hongliang Guo Peng Guo Jinghao Wei Tie Lin Hunan University of Finance and Economics ChangshaChina University Malaysia Sabah Kota KinabaluMalaysia

In recent years,the mobile Internet has developed rapidly,and the network social platform has emerged as the times require,and more people make friends,chat and share dynamics through the network social *** network social platform is the virtual embodiment of the social network,each user represents a node in the directed graph of the social *** the most popular online social platform in China,WeChat has developed rapidly in recent *** user groups,powerful mobile payment capabilities,and massive amounts of data have brought great influence to *** present,the research on WeChat network at home and abroad mainly focuses on communication and sociology,but the research from the angle of influence is ***,based on the basic principle of pagerank,this paper proposes an influence evaluation model WURank algorithm suitable for WeChat network *** algorithm takes into account the shortcomings of the traditional pagerank algorithm,and objectively evaluates the real-time influence of WeChat users from the perspective of WeChat user behavior(including:sharing,commenting,mentioning,collecting,likes)and time factors.

关键词： WeChat influence pagerank algorithm WURank algorithm

Design of Sensor Placement Based on Fault Diagnosability 36

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Design of Sensor Placement Based on Fault Diagnosability

第36届中国控制会议

作者： Xiaoqiang Hu Xiaoli Zhang Xiafu Peng Qi Ding Chengrui Liu Department of Automation Xiamen University Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering

ISBN: (纸本)9781538629185

This paper studies the sensor optimization configuration which meets the fault diagnosability of affine nonlinear faulty *** of all,the judgment method of fault diagnosability and the relevant quantitative evaluation indexes based on the differential geometry theory are *** the optimal sensor allocation model is built,and the pagerank algorithm of the web page ranking is introduced into the configuration *** differ from the new intellective heuristic algorithms,the weighted pagerank algorithm shifts the focus from designing an optimal subset search algorithm of better performance out to evaluating the important degree of each measuring point,and makes use of the analytic model more efficiently rather than the direct graph *** the end,a validation example of the point mass satellite system is presented to demonstrate the effectiveness of the proposed approach.

关键词： sensor optimization configuration fault diagnosability pagerank algorithm

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