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Dominant Technology Identification Model Based on Patent Information Toward Sustainable Energy Development

IEEE ACCESS 2019年 7卷 141374-141385页

作者： Wang, Hongying Sun, Bing Wang, Peng Harbin Engn Univ Sch Econ & Management Harbin 150001 Heilongjiang Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Jiangsu Peoples R China

Sustainable energy offers advantages of continuous regeneration, sustainable utilization, and inexhaustibility and plays an important role in the development of the world. In recent years, research on sustainable energy has become an important focus;however, leading sustainable energy technology deserves more attention. Identifying the dominant technology is significant for the decision-making and strategic layout of enterprises. In contrast to traditional technology identification methods, this study proposes a visual analysis model based on the patent-citation relationship. The visual analysis presented in this paper is divided into two parts: In the first part, the patent mutual citation data is input into the visualization software Gephi to identify the leading technology at the visual processing stage. Then, the pagerank algorithm is used to cross contrast the technical value and build the leading technology recognition model. The second part verifies the accuracy of the visual model and evaluates the technical value of each patent using the following five indexes: number of patent cited, patent number of the same family, scope of patent coverage, claim number of each patent, and number of patent litigation. Data of three sustainable energy technologies from the Worldwide Patent Statistical Database (PATSTAT) from 1900 to 2017 were used: solar power generation technology, hydroelectric power generation technology and wind power generation technology. The visual model correctly identified the leading technology. The results also explained the choice of the pagerank algorithm and the five indicators are most scientific and reasonable for the identification of dominant technology.

关键词： Patents Wind power generation Visualization Data visualization Databases Hydroelectric power generation Wind energy Gephi leading technology identification pagerank algorithm sustainable energy

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Community privacy estimation method based on key node method in space social Internet of Things

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2019年第10期15卷

作者： Chen, Guobin Huang, Tangsen Chongqing Technol & Business Univ Rongzhi Coll Chongqing Key Lab Spatial Informat Data Min & Big Chongqing Peoples R China Hunan Univ Sci & Engn Sch Elect & Informat Engn Yongzhou 425199 Peoples R China

Based on the research of social network and the Internet of Things, a new research topic in the field of Internet of Things, Social Internet of Things is gradually formed. The SIoT applies the research results of SIoT from different aspects of the Internet of Things, and solves the specific problems in the research of Internet of Things, which brings new opportunities for the development of the Internet of Things. With the development of the Internet of Things technology, in the spatial social Internet of Things structure, user information includes sensitive attributes and non-sensitive attribute information. This information can be inferred from public user information to infer the information of the private user and even speculate on sensitive attributes. This article proposes an information speculation method based on the core users of spatial social networks, and estimates the non-core user information through the core user public information. First, the user's spatial social network is divided into communities, and the core nodes of the community in the spatial social network are calculated by pagerank algorithm and the convergence of the algorithm is proved. Then, through the public information of the core nodes divided by the community in the space social network, the private information of relevant users to these core nodes can be speculated. Finally, by experimental analyzing the community structures of SIoT (Social Internet of Things) like Twitter, Sina Weibo, ER random networks, and NW small-world network, and making 5%, 10%, 15%, 20% information anonymous respectively in these four kinds of networks, we can analyze their clustering coefficient, Q-modularity and properties. Finally, the key node information of the four spatial social structures is speculated to analyze the effectiveness of the proposed method. Compared with the non-core speculation method, this method has advantages in speculative information integrity and time.

关键词： Internet of Things Social Internet of Things sensitive attributes speculation community partitioning pagerank algorithm

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Strategies in scheduling marine protected area establishment in a network system

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ECOLOGICAL APPLICATIONS 2019年第1期29卷 1-10页

作者： Kininmonth, Stuart Weeks, Rebecca Abesamis, Rene A. Bernardo, Lawrence Patrick C. Beger, Maria Treml, Eric A. Williamson, David Pressey, Robert L. Stockholm Univ Stockholm Resilience Ctr Kraftriket Sweden Univ Oslo Ctr Ecol & Evolutionary Synth Oslo Norway Univ South Pacific Sch Marine Studies Suva Fiji James Cook Univ ARC Ctr Excellence Coral Reef Studies Townsville Qld Australia Silliman Univ Angelo King Ctr Res & Environm Mana Dumaguete Philippines Tokyo Inst Technol Nadaoka Lab Dept Civil Engn Tokyo Japan Univ Queensland Brisbane Qld Australia Univ Leeds Sch Biol Fac Biol Sci Leeds W Yorkshire England Univ Melbourne Melbourne Vic Australia Deakin Univ Sch Life & Environm Sci Geelong Vic Australia

Instantaneous implementation of systematic conservation plans at regional scales is rare. More typically, planned actions are applied incrementally over periods of years or decades. During protracted implementation, the character of the connected ecological system will change as a function of external anthropogenic pressures, local metapopulation processes, and environmental fluctuations. For heavily exploited systems, habitat quality will deteriorate as the plan is implemented, potentially influencing the schedule of protected area implementation necessary to achieve conservation objectives. Understanding the best strategy to adopt for applying management within a connected environment is desirable, especially given limited conservation resources. Here, we model the sequential application of no-take marine protected areas (MPAs) in the central Philippines within a metapopulation framework, using a range of network-based decision rules. The model was based on selecting 33 sites for protection from 101 possible sites over a 35-yr period. The graph-theoretic network criteria to select sites for protection included pagerank, maximum degree, closeness centrality, betweenness centrality, minimum degree, random, and historical events. We also included a dynamic strategy called colonization-extinction rate that was updated every year based on the changing capacity of each site to produce and absorb larvae. Each rule was evaluated in the context of achieving the maximum metapopulation mean lifetime at the conclusion of the implementation phase. MPAs were designated through the alteration of the extinction risk parameter. The highest ranked criteria were pagerank while the actual implementation from historical records ranked lowest. Our results indicate that protecting the sites ranked highest with regard to larval supply is likely to yield the highest benefit for fish abundance and fish metapopulation persistence. Model results highlighted the benefits of including network

关键词： conservation planning larval networks marine protected areas metapopulation pagerank algorithm Philippines scheduled implementation

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Experts Ranking on the Enterprise Microblogging based on the pagerank algorithm

Experts Ranking on the Enterprise Microblogging based on the...

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7th IEEE Asia-Pacific Services Computing Conference (APSCC)

作者： Li, Ning Ning, Ke Zhang, LiangJie Wang, Yan Kingdee Res Shenzhen Peoples R China

ISBN: (纸本)9780769548975;9781467348256

With the rapid development of social networks services (SNS), Enterprise microblogging gradually shows its importance in business management. In the Enterprise Microblogging, If we can Accurately search and rank the experts, it can greatly enhance the operational rate of the Enterprise. In this article, Based on Google's pagerank algorithm, combined with the labels of the expert on enterprise microblogging network, we can rank the experts in the enterprise microblogging network according to the influence of the expert. Therefore, we can improve the precision rate of the expert searching results for the user.

关键词： Enterprise microblogging Expert ranking pagerank algorithm tag

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A Value Evaluation Method for Papers Based on Improved pagerank algorithm

A Value Evaluation Method for Papers Based on Improved PageR...

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2nd International Conference on Computer Science and Network Technology (ICCSNT)

作者： Qiao, Hongguang Wang, Yu Liang, Yanhua Hebei Univ Coll Math & Comp Sci Baoding Peoples R China

ISBN: (纸本)9781467329644;9781467329637

Because of the similarity of link network and citation network, bringing the pagerank algorithm to citation analysis to evaluate the value of a paper is a feasible method. But there are some problems in using the method directly. Therefore, combined with the characteristics of the citation network, this paper proposes an alternative method for evaluating the value of a paper based on improved pagerank algorithm. Taking into account some factors such as the impact factor of the journal where the paper is published and the correlation of two papers, the method computes the total value of a paper from two aspects, which are the paper's inherent value and the value passed from other papers. The experimental results show the feasibility and effectiveness of this method.

关键词： pagerank algorithm paper's value citation analysis impact factor correlation

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Effective Reformulation of Query for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics 34

Effective Reformulation of Query for Code Search using Crowd...

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IEEE International Conference on Software Maintenance and Evolution (ICSME)

作者： Rahman, Mohammad Masudur Roy, Chanchal K. Univ Saskatchewan Dept Comp Sci Saskatoon SK Canada

ISBN: (纸本)9781538678701

Software developers frequently issue generic natural language queries for code search while using code search engines (e.g., GitHub native search, Krugle). Such queries often do not lead to any relevant results due to vocabulary mismatch problems. In this paper, we propose a novel technique that automatically identifies relevant and specific API classes from Stack Overflow Q & A site for a programming task written as a natural language query, and then reformulates the query for improved code search. We first collect candidate API classes from Stack Overflow using pseudo-relevance feedback and two term weighting algorithms, and then rank the candidates using Borda count and semantic proximity between query keywords and the API classes. The semantic proximity has been determined by an analysis of 1.3 million questions and answers of Stack Overflow. Experiments using 310 code search queries report that our technique suggests relevant API classes with 48% precision and 58% recall which are 32% and 48% higher respectively than those of the state-of-the-art. Comparisons with two state-of-the-art studies and three popular search engines (e.g., Google, Stack Overflow, and GitHub native search) report that our reformulated queries (1) outperform the queries of the state-of-the-art, and (2) significantly improve the code search results provided by these contemporary search engines.

关键词： Code search query reformulation crowd-sourced knowledge extra-large data analytics Stack Overflow pagerank algorithm Borda count semantic similarity

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A Method for Test Cases Reduction in Web Application Testing Based on User Session

A Method for Test Cases Reduction in Web Application Testing...

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International Conference on Networking and Network Applications (NaNA)

作者： Wang, Shuyan Wu, Wentao Sun, Jiaze Xian Univ Posts & Telecommun Sch Comp Sci & Technol Xian Shaanxi Peoples R China

ISBN: (纸本)9781538683033

With the development of web application, the internal structure of the web application was more complicated. The software testing method based on user session has been used to verify the quality of web application. However, the amount of real user session data were extremely large. In order to reduce the scale of the test case set for web application testing, we proposed a reduced method of test cases based on user session. First, we cleaned the original log file and identified user session and sorted the user sessions according to the Gini index. Then, we made an "OR" operation on the all user sessions coverage to obtain some user sessions that cover all pages of web application. These user sessions were a set of reduced test cases. Finally, the structure dependency graph of web application was generated according to the user sessions. The pagerank algorithm and the Hamming distance are used to optimize the test cases reduced with the same Gini index. By this means, we obtained the final test cases set for reduction. Through experimental verification, we found that the reduction rate of the test cases reached 85.7% and the fault coverage rate reached 100% by our method. Therefore, the method we proposed in this paper improved effectively the reliability of web application and the effectiveness of software testing and reduced the cost of software testing.

关键词： user session Gini index pagerank algorithm Hamming distance test cases reduction

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The Research of Spam Web Page Detection Method Based on Web Page Differentiation and Concrete Cluster Centers 13th

The Research of Spam Web Page Detection Method Based on Web ...

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13th International Conference on Wireless algorithms, Systems, and Applications (WASA)

作者： Yu, Mei Zhang, Jie Wang, Jianrong Gao, Jie Xu, Tianyi Yu, Ruiguo Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Tianjin Univ Tianjin Int Engn Inst Tianjin Peoples R China Tianjin Key Lab Adv Networking TANK Lab Tianjin Peoples R China Tianjin Key Lab Cognit Comp & Applicat Tianjin Peoples R China

ISBN: (纸本)9783319942681;9783319942674

To improve the pagerank algorithm's disadvantage of assigning link weights evenly and ignoring the authority of web page, we propose an improved pagerank algorithm based on web page differentiation (DPR) which evaluate pages authority according it's links' numbers and assign corresponding weights according to its authoritativeness when assigning PR values. To improve the cluster's stability and accuracy of the K-Means algorithm, we combine DPR with K-Means, design a differentiation page-based K-Means (DPK-Means) algorithm. This algorithm will sort the pages according to the PR value obtained by the DPR algorithm and then concrete cluster centers according to the current sorting result. Experiments show that in spam detection, the DPR is superior to pagerank in terms of pages numbers, recall rate, accuracy, and F-Measure value and DPK-Means has better performance than the K-Means.

关键词： Web page differentiation Concrete cluster center Spam web page detection pagerank algorithm K-Means algorithm

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Product Rank Based Search Engine for E-Commerce 3

Product Rank Based Search Engine for E-Commerce

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3rd International Conference for Convergence in Technology (I2CT)

作者： Rathod, Urvesh Pavate, Aruna Patil, Vaibhav Atharva Coll Engn Comp Engn Mumbai Maharashtra India

ISBN: (纸本)9781538642733

In today's world, e-commerce is the strongest and the fastest growing platform. People inclined to buy products from websites now and then. Up to the present time price comparisons of the same product on different websites are available but now, moving a step ahead, our proposed system tends to serve as a smart web spider for all e-commerce websites, which crawls the whole website for you and find out the cheapest yet best quality products of your choice in real time. Moreover, this assures the union of all e-commerce website in form of one rigorously filtered system. It is also capable of making good recommendations as per customer's requirement and serves as an active agent in the system. This product can also prove beneficial for e-commerce companies because it will be able to track down dead pages, Seller's wrongly entered price or any kind of glitches/errors/fraudulent activities on their websites in real time.

关键词： Web Search Engine Web Crawlers pagerank algorithm Product Rank algorithm

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A pagerank-based reputation model for personalised manufacturing service recommendation

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ENTERPRISE INFORMATION SYSTEMS 2017年第5期11卷 672-693页

作者： Zhang, W. Y. Zhang, S. Guo, S. S. Zhejiang Univ Finance & Econ Sch Informat Hangzhou 310018 Zhejiang Peoples R China Zhejiang Univ Finance & Econ Lib Hangzhou 310018 Zhejiang Peoples R China

The number of manufacturing services for cross-enterprise business collaborations is increasing rapidly because of the explosive growth of Web service technologies. This trend demands intelligent and robust models to address information overload in order to enable efficient discovery of manufacturing services. In this paper, we present a personalised manufacturing service recommendation approach, which combines a pagerank-based reputation model and a collaborative filtering technique in a unified framework for recommending the right manufacturing services to an active service user for supply chain deployment. The novel aspect of this research is adapting the pagerank algorithm to a network of service-oriented multi-echelon supply chain in order to determine both user reputation and service reputation. In addition, it explores the use of these methods in alleviating data sparsity and cold start problems that hinder traditional collaborative filtering techniques. A case study is conducted to validate the practicality and effectiveness of the proposed approach in recommending the right manufacturing services to active service users.

关键词： Collaborative filtering manufacturing service pagerank algorithm service discovery service recommendation social network

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