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Influence maximization in MicroBlog based on a new user influence ranking method

Journal of Information and Computational Science 2015年第9期12卷 3729-3737页

作者： Liu, Yuanying Guo, Jingfeng Hu, Xinzhuan Liu, Miaomiao Zhang, Jilong College of Information Science and Engineering Yanshan University Qinhuangdao China College of Information Technology Hebei University of Economics and Business Shijiazhuang China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China

The characteristics of the MicroBlog data are analyzed firstly. Then WeiBo graph is constructed through tweets forwarded path and user influence ranking calculation method which according to the classic PageRank is given;the initial value of user influence ranking concludes three attributes, such as followers' number, tweets' number and recent tweets' quality. Maximization algorithm in MicroBlog based on user influence ranking is put forward finally. Experiments show that this maximization algorithm is superior to the others in spread scope. ©, 2015, Journal of Information and Computational Science. All right reserved.

关键词： Computational methods

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Mining the important nodes of software based on complex networks

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ICIC Express Letters 2015年第12期9卷 3263-3268页

作者： Huang, Guoyan Zhang, Peng Li, Yanling Ren, Jiadong College of Information Science and Engineering Yanshan University No. 438 Hebei Ave Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave Qinhuangdao China

The main purpose of studying the software structure is considered to understand and recognize the structure easily by also taking into account the quality of software. In this paper, we define and analyze the node importance based on the invoking dependency relationships among the nodes to mine the influential nodes for the software. Firstly, we construct a directed network to denote the software execution process depending on the invoking relationships. Secondly, according to the information of the Dependency Node Set (DNS) of each function node, we define the importance for the node. Finally, we present the algorithm Measure the Importance of Node (MIN) to evaluate the importance of each node. Comparing the value of nodes by the algorithm Mining the top-K Nodes (MKN), we can obtain the most influential nodes in the software network. In addition, with experiments results, the method MKN is verified to be effective for measuring the importance of the function nodes accurately. © 2015 ICIC International.

关键词： Complex networks

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VReading Multi-Sensory Reading Platform

VReading Multi-Sensory Reading Platform

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International Conference on virtual Reality and Visualization (ICVRV)

作者： Yuhan Liu Yong Tang Jiayin Song Jing Zhao Mengya Lv Qian Sun Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China Yanshan University College of Economics and Management Qinhuangdao China

ISBN: (纸本)9781538684986;9781538684979

The form of books is constantly developing with the upgrading of carrying media, and the emergence of electronic books has greatly shaken the traditional paper books. In recent years, with the combination of artificial intelligence, virtual reality, high-speed network and digital reading, the concept of "VR" has been applied to more and more industries. The introduction of VReading multi-sensory reading platform will bring new ideas to digital reading industry.

关键词： Conferences virtual reality Visualization

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A Generalized Weighted Closed Sequential Pattern Mining Algorithm with Item Interval

A Generalized Weighted Closed Sequential Pattern Mining Algo...

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2015 International Conference on Automation,Mechanical Control and Computational Engineering(AMCCE 2015)

作者： Haitao Lu Shuo Li College of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Library of Yanshan University Yanshan University

ISBN: (纸本)9781510803084

The algorithm of this paper inserts pseudo items which are converted from item interval to obtain equal extended sequence database;it defines item-interval constraints, which are relative to the item weight, to prune the mining patterns. Through doing this, the algorithm avoids mining the patterns which users are not interested in and shortens the running time. It adopts histogram statistic pattern to get the standardization description to item interval of the mining patterns, making the mining sequences include the item interval information which is valuable to user decision.

关键词： weighted sequential patterns closed sequential patterns item interval

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Mining software behavior pattern from software execution trace

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ICIC Express Letters, Part B: Applications 2015年第12期6卷 3367-3372页

作者： Ren, Jiadong Wu, Hongfei Yin, Tengteng Li, Yanling Liu, Jiaxin Dong, Jun College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao066004 China The Key Laboratory for Computer Virtual Technology System Integration of Hebei Province No. 438 Hebei Avenue Qinhuangdao066004 China

A software execution trace can be viewed as a series of events. An event may correspond to the execution of a basic block, the invocation of a class or a method. These traces imply important unique characteristics of software behaviors. In this paper, a novel approach to mine representative software behavior patterns is proposed. First, we give an exact definition of Common Closed Ordered Iterative Pattern (CCOIP). The pattern may occur many times not only within a single trace but also across multiple traces. Then, an efficient algorithm called CCOIP-Miner is proposed to mine CCOIP. The mined CCOIPs are regarded as representative software behavior patterns. Our experiment results show the efficiency of algorithm CCOIP-Miner. © 2015, ICIC Express Letters Office. All rights reserved.

关键词： Miners

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Research on community detection algorithm based on modularity maximum

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ICIC Express Letters 2016年第12期10卷 2995-3003页

作者： Chen, Jing Wan, Yun College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province No. 438 Hebei Avenue Qinhuangdao066004 China

It is well known that the drawbacks of label propagation algorithm are high randomness, weak robustness and easy to form monster community. Many improved methods are proposed constantly in order to avoid these problems. However, the related label propagation algorithm is seldom concerned with the stability of community structure and the results of community detection. In order to obtain the high value communities, modularity and community structure are involved in detecting communities. In this paper, the algorithm CDMMCS (Community Detection based on Modularity Maximum and Community Structure) is proposed. The main idea is based on label propagation, but CDMMCS begins with some small communities, and the process of label updating is in consideration of the modularity maximum. When the label stops propagating, the communities with the same label are merged. Check the community structure of merged communities, and perform different operations according to different community structures. Experiments show that CDMMCS successfully detects communities with higher modularity values than LPA (Label Propagation Algorithm) and LPAm+ in some realworld networks. And the running time of CDMMCS is less than LPAm+. © 2016 ICIC International.

关键词： Population dynamics

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The constructions of ternary sequence pairs based on cyclotomy

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ICIC Express Letters 2015年第6期9卷 1761-1767页

作者： Jia, Yanguo Duan, Xiaobei Shi, Yan Shen, Xiumin School of Information Sciences and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Heibei Province No. 438 Hebei Avenue Qinhuangdao China

In this paper, two new methods of constructing ternary sequence pairs based on cyclotomy are presented. The ternary sequence pairs with three-level correlation are constructed based on cyclotomic numbers of order 4. And the ternary sequence pairs with four-level correlation are constructed based on cyclotomic numbers of order 6. The two methods cover all the prime period respectively. © 2015 ICIC International.

关键词： computers

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Automatic simulated computation of remote sensing information model based on semantic

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Journal of Chemical and Pharmaceutical Research 2014年第7期6卷 521-529页

作者： Sun, Shengtao Wu, Aizhi The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province School of Information Science and Engineering Yanshan University Qinhuangdao China College of Vehicles and Energy Yanshan University Qinhuangdao China

This paper discusses the simulated computation methods of remote sensing information model, and tries to put forward a more available solution. It presents our research works on the description and simulation methods of remote sensing information model: the service on demand method provides a basic methodology of model analysis, the semantic relationship description of information processing procedure supports the basic knowledge of resource selection and matching based on user’s demand, and the hierarchical mapping method of remote sensing information model shows the transformation from abstract model to executable data processing workflow. © 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.

关键词： Semantics

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A community detection method to undirected weighted signed social networks

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Journal of Computational Information systems 2015年第10期11卷 3623-3632页

作者： Guo, Jingfeng Liu, Miaomiao Liu, Linlin Liu, Yuanying College of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China Northeast Petroleum University Daqing China

With regard to the community mining in weighted signed networks and weighted social networks containing only positive links, the AGMA algorithm has some imperfections in the second clustering of vertices. So some improvements were made to it. And a new algorithm CD WSSN (Community Detection for Weighted Signed Social Networks) is proposed to detect communities in undirected and unweighted signed networks. It takes the sign of the edge, the weight of the edge and the friend coefficient between the vertex and community as clustering criteria of vertices. It can divide a weighted signed network into the right number of communities accurately and effectively. Experiments were done on datasets like weighted signed networks, weighted traditional social networks, unweighted signed networks as well as standard networks. The comparative analysis of the experimental results were also done with regard to the difference and frustration about CD WSSN, AGMA, CRA algorithm, and so on. The results verify the accuracy and generality of the algorithm. ©, 2015, Binary Information Press. All right reserved.

关键词： Population dynamics

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Human Movement Detection and Gait Periodicity Analysis Using Channel State Information

Human Movement Detection and Gait Periodicity Analysis Using...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Zijuan Liu Lin Wang Wenyuan Liu Binbin Li School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province School of Economics and Management Yanshan University Qinhuangdao HeBei China

ISBN: (纸本)9781509056972

Under the influence of multipath effects and small scale fading, the robustness and reliability of the existing human detection methods based on radio frequency signals are easy to be impaired. In this paper, we propose a novel design that using the multi-layer filtering of channel state information (CSI) to identify moving targets in dynamic environments and analyze the gait periodicity of human. We employ an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal component analysis (PCA) and discrete wavelet transform (DWT) to eliminate the noises. Furthermore, we propose a profile matching mechanism for human detection and a periodicity analysis mechanism for human gait taking advantage of the above design. We evaluated it with the commodity Wi-Fi infrastructures in different environments. Experimental results indicate that our approach performs identification of human with an average accuracy of 94%.

关键词： Principal component analysis Wireless sensor networks Wireless communication Discrete wavelet transforms Feature extraction Wireless fidelity Object detection

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