A method and device for calculating influence data

Abstract

The invention discloses a method and device for calculating influence data. The method is applied to a socializing network. The method includes the following steps that an identification of designated information serves as the input, and user operation data of the designated information are extracted from a server of the preset socializing network; according to the extracted user operation data, the daily number of user involvement times is calculated; the involvement time number growth rate of each day is calculated; the involvement time number growth rates of adjacent days are compared, days which conform to the situation that differences between the involvement time number growth rates of the same days and the involvement time number growth rates of N days before are larger than the first preset threshold value are selected and days which conform to the situation that the involvement time number growth rates of M days before are negative values, the involvement time number growth rates of the same days are positive values and in addition, the involvement time numbers of the same days are larger than the second preset threshold value are selected. According to the method and device for calculating the influence data, correctness and reliability of the influence data of the socializing network can be improved and real conditions can be better met.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a method and device for calculating influence data. Background technique [0002] By the end of December 2012, the number of registered users of Sina Weibo had exceeded 500 million. In December 2012, the number of daily active users reached 46.2 million. The number of Weibo users and the number of active users maintained a steady growth. The number of registered accounts of Tencent Weibo is as high as 540 million, and the average number of daily active users exceeds 87 million. The popularity of Weibo applications, especially the arrival of the era of portal Weibo, can be said to have overshadowed the limelight of various Internet platforms. Publishing corporate information on social networks not only has the advantages of fast and cheap Internet communication, but also has unique user interaction effects that are unmatched by other media methods. In addition, publicity on social ...

AI Technical Summary

Problems solved by technology

The influence of information released by enterprises on traditional networks decreases less with time, while in social networks, due to the continuous release of new information by users, the influence of a piece of information will rapidly weaken in a relatively short period of time. Calculate the active time of information in the same way as the traditional network, it is very likely to get an active time that exceeds the actual situation, and cannot get an accurate information update cycle

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