Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
409-413

Structure exploring algorithm on Spark for large-scale network

Chai Bianfanga,b
Ou Pengchenga
Hu Jichaoa
a. College of Information Engineering, b. Hebei Center for Ecological & Environmental Geology Research, Hebei GEO University, Shijiazhuang 050031, China
DOI: 10.19734/j.issn.1001-3695.2019.12.0662

Abstract

Today's society is in the era of big data. There are more and more network data in reality, which has complex structure and large scale. Analyzing their structure effectively plays an important role for understanding and applying their provided information. The network structure discovery algorithm based on hybrid model can mine the multi type clustering structure in the network, but it can not deal with large-scale network effectively. Based on GraphX graph computing model, this paper proposed a large scale network structure exploring algorithm LNSES(large scale network structure exploring algorithm on Spark) to improve the efficiency of the algorithm from two aspects of storage space and running time. In order to decreasing the large memory consumption for the network adjacency matrix, the LNSES algorithm stored attribute values of edge, node and node in a distributed manner. Edge partitions recorded edges, which were used as index for parameter transferring between nodes. For improving the efficiency of the structure exploring algorithm, a zipper operation between edge partition and node partition generated an index structure. At the stage of updating parameter, nodes found corresponding edges based on the index structure, and updated parameters in parallel. Experiments on large-scale real and artificial networks illustrate that LNSES is better than the similar network structure exploring algorithms in terms of running time and accuracy, and can mine and analyze the structure of large-scale network.

Foundation Support

国家自然科学基金资助项目(61503260)
河北省自然科学基金资助项目(F2019403070)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0662
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 409-413
Serial Number: 1001-3695(2021)02-015-0409-05

Publish History

[2021-02-05] Printed Article

Cite This Article

柴变芳, 欧朋成, 胡吉朝. 基于Spark的大规模网络结构发现算法 [J]. 计算机应用研究, 2021, 38 (2): 409-413. (Chai Bianfang, Ou Pengcheng, Hu Jichao. Structure exploring algorithm on Spark for large-scale network [J]. Application Research of Computers, 2021, 38 (2): 409-413. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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