Method for analyzing song popularity under influence of social relationship in music information network

Abstract

The invention relates to a method for analyzing song popularity under the influence of a social relationship in a music information network. The method comprises the steps of firstly obtaining an information sub-network and a network mode of the information sub-network from the music information network, and obtaining the social relationship related to the information sub-network; secondly calculating mean edge betweenness of different types of relational edges in the information sub-network; thirdly making a calculation according to the mean edge betweenness to obtain propagation factors of the different types of relational edges; fourthly designing edge weights in the information sub-network according to the social relationship and selecting nodes from nodes of the same type according to the edge weights to perform random walk; and finally performing random walk in the information sub-network in combination with the propagation factors and the edge weights to obtain a node influence ranking in the network so as to obtain the song popularity. According to the method proposed by the invention, the influence of a user group on songs is considered, so that the final popularity analysis is more reasonable.

Description

technical field [0001] The invention relates to the field of information retrieval, in particular to a song popularity analysis method under the influence of social relations in a music information network. Background technique [0002] The music information network is actually composed of an information subnet and a social subnet, and the information subnet usually includes songs and song-related type nodes, such as singers, lyricists, genres, etc. The relationships existing in the network are song- The relationship between being sung and sung between singers, the relationship between being written and writing lyrics between song-lyricists, the relationship between being included and including between songs-genres, etc. Social subnetworks include friendship between users, song - The played and played relationship between users, the contained and contained relationship between users and groups. [0003] At present, for the analysis methods of song popularity in heterogeneou...

AI Technical Summary

Problems solved by technology

However, this information subnetwork pays more attention to the static information such as singers and lyricists related to songs, so the popularity of songs analyzed by traditional methods in this kind of network only shows the popularity of songs in this information subnetwork. Universality does not really reflect the popularity of songs among user groups; after introducing social relationships related to songs, considering the network differences between information subnets and social subnets, the former tends to focus on Static information in the network, the latter pays more attention to the network topology, so it cannot directly use traditional methods to analyze the popularity of songs in the entire network of the music information network

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