Social relations classification method based on user movement behavior and device

Abstract

The invention belongs to the technical field of movement behavior and social relations analysis, in particular to an offline social relations classification method based on user movement behavior and a device. The social relations classification method based on user movement behavior comprises the steps that individual behavior record of users are acquired from a user movement behavior log database, a user behavior matrix and a space and time interaction matrix between every two users are constructed and two interaction characteristics evaluating user social similarity and interaction regularity are extracted; spatial temporal entropy and regularity are obtained; random processing is conducted on the user individual movement behavior through a null hypothesis, a null model of a user individual behavior matrix and a time and space interaction matrix between the users is constructed, and according to the null model and the preset probability, the spatial temporal entropy random threshold value and regularity random threshold value are determined; by comparing the value relationship between the user interaction matrix in the spatial temporal entropy and the regularity and random threshold value of the user interaction matrix, the offline social relations between the two users are determined. The social relations classification method based on user movement behavior and the device are capable of being used for distinguishing offline acquaintance relations from stranger relations, digging out the familiar stranger relations between the two and improving the accuracy and the practicability of offline social relations classification.

Description

technical field [0001] The invention belongs to the technical field of mobile behavior and social relationship analysis, and in particular relates to a method and device for classifying offline social relationships based on user mobile behavior. Background technique [0002] In the research theory of social network, researchers regard social network as a series of social relations connecting human individuals, regard human beings as nodes, and regard social relations as edges between nodes. However, with the development of research, the connection in the network is not limited to the narrow social relationship (the weight of the connection is defined by the degree of closeness), but is regarded as the sum of human communication behavior, whether it is face-to-face communication, geographical Encounter, or communication on the Internet or on the phone, has become a link connecting human individuals with each other. Therefore, social relations in a broad sense are no longer l...

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Problems solved by technology

However, on the one hand, the calculation of this indicator needs to rely on the social network structure itself, so it is difficult to obtain when the data scale is too large; The calculation of the indicator introduces a lot of noise, so the number of common neighbors cannot be used as an effective indicator to measure the offline social similarity of users

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