Network information data popularity calculation method

Abstract

The invention discloses a method for calculating popularity of network information data, which relates to the technical field of computers and comprises the following steps of: crawling web portals with preset grade values to obtain a plurality of pieces of network information data; performing network information label classification; carrying out overall clustering when the network information event library has a plurality of network information event subsets, otherwise, carrying out incremental clustering; counting the network information quantity, the network information release time and the user behavior data in each network information event subset; sorting and assigning each piece of network information data of each network information event subset to obtain a first weight; processing to obtain the forwarded and reshipped quantity of each network information data; and carrying out weighted summation on the preset grade value, the network information label, the network informationquantity, the network information report time, the user behavior data, the first weight, the forwarded quantity and the transshipment quantity to obtain a network information data popularity value. According to the method, multiple influence factors are considered, and the network information data popularity value is more comprehensive and reasonable.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for calculating the popularity of network information data. Background technique [0002] Both network information data and data on social platforms can become network information data. Network information data and social data are interrelated. Well-known network information media have their own social accounts, and they will reprint their network information from portal websites to On your own social account, you can let more netizens who are keen on socializing understand the dynamics of network information. However, the influence of social data is not taken into account in the popularity calculation of network information data at this stage. In fact, social data (microblogging, etc.) can largely reflect user behavior, and the participation of big V accounts is of great significance to the improvement of popularity. , however, this factor has not been taken into acc...

AI Technical Summary

Problems solved by technology

In fact, the existing methods for calculating the popularity of network information data consider few factors and cannot fully reflect the popularity of network information.

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