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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2657-2662

User community and attribute location cluster search in location-based social networks

Zong Chuanyu
Li Ruozhu
Xia Xiufeng
School of Computer Science, Shenyang Aerospace University, Shenyang 110136, China
DOI: 10.19734/j.issn.1001-3695.2023.01.0019

Abstract

This paper proposed the attribute geosocial community search problem(AGCS) to address the current community search problem that did not fully satisfy the need for user activity location recommendations. This problem was the work to find closely connected user community and attribute location cluster from location-based social networks with attributes. It defined a new community metric based on attribute constraints and check-in information to measure the quality of results, and proposed three new search algorithms to solve the problem, such as a basic algorithm, a local algorithm based on a greedy expansion strategy, and an optimized local algorithm. Experiments demonstrate that the proposed algorithms can effectively search user community and attribute location cluster in location-based social networks with attributes. The community score of local algorithm results is nearly 1.5 times higher than that of basic algorithm, and the efficiency of optimization algorithm is improved to nearly 40 times on the basis of ensuring community quality.

Foundation Support

国家自然科学基金项目(61802268)
辽宁省自然科学基金面上项目(2022-MS-303)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0019
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2657-2662
Serial Number: 1001-3695(2023)09-015-2657-06

Publish History

[2023-03-31] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

宗传玉, 李箬竹, 夏秀峰. 基于位置社交网络的用户社区和属性位置簇搜索 [J]. 计算机应用研究, 2023, 40 (9): 2657-2662. (Zong Chuanyu, Li Ruozhu, Xia Xiufeng. User community and attribute location cluster search in location-based social networks [J]. Application Research of Computers, 2023, 40 (9): 2657-2662. )

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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