2019 Vol.2 Dec. No.6

• Title: Fast detection method for local search target of community structure under big data
• Name: Krisztian Rosenthal
• Company: University of Prince Edward Island
• Abstract:

  The traditional detection method has the problems of complex operation and slow search speed, which has brought a huge impact to the efficient operation of the local search system of community structure. To this end, a rapid detection method of local search target of community structure under big data is studied. Analyze the key technologies for constructing the detection method, use quantitative algorithms to achieve rapid target positioning, perform resource entry on the target, calculate the size of the data convolution kernel, perform statistics on the convolution data, and undertake analytical storage of the detection results. In this way, the target extraction is realized, and the local search target of the community structure is quickly detected. Through experiments, it is proved that the rapid detection method of local search target of community structure has obvious advantages in terms of search time consumption and has good development prospects.

• Keyword: under big data; community structure; local search; target; fast detection method;
• DOI: 10.12250/jpciams2019060641
• Citation form: Krisztian Rosenthal.Fast detection method for local search target of community structure under big data[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 163-169.

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