How to share elements

Abstract

The invention provides a method for sharing an element. Firstly, a first user transmits the element to a second user through first path connection information, wherein the first path connection information comprises information for obtaining a projectable space instance and a first record table corresponding to the element; then, the first record table is updated when the second user receives and starts the first path connection information and carries out a projected workspace; then, the second user transmits the element to a third user through second path connection information, wherein the second path connection information comprises the information for obtaining the projectable space instance and a second record table corresponding to the element; the second record table is updated when the third user receives and starts the first path connection information and carries out the projected workspace; and finally, a propagation relationship parameter of the element can be obtained according to the first record table and the second record table. According to the method, statistics can be carried out on the propagation relationship parameter of the element by generating the record tables.

Description

technical field [0001] The invention is related to the field of sharing of elements, in particular the calculation of propagation relation parameters of shared elements. Background technique [0002] Recently, such as (Facebook) and The rapid growth of social networking sites such as (Twitter) has created new trends in Internet usage. In general, social networking sites are often associated with services and tools that help users maintain and expand their circle of friends, expanding existing relationships. Because social networking sites are where many people spend the most time on the Internet, this has prompted social networking sites to become the main entry point for online activity. At the same time, social networking websites are also centers for sharing information such as website links, multimedia files, music, and the like. [0003] When people create fan pages or share information on social networking sites based on business operations, market research, prom...

AI Technical Summary

Problems solved by technology

[0006] However, with the above method, only the total click-through rate of the information and the click-through rate brought by different sharers can be known, but other communication relationship parameters cannot be counted

Furthermore, when this information is shared to different platforms, such as from was shared with then in When the content is shared, The server has no way of knowing that the information is Users reshare, and cannot modify the link information of the path, so that it is impossible to continue to track and count the dissemination of the information

[0007] In addition, as in US Patent Publication No. 20140149888 figure 1 As shown in C, it discloses a statistical chart that visually presents the number of people browsing, sharing or clicking on the information shared by users within a specific time interval, but the above-mentioned patent does not disclose how to count various communication relationship parameters and is still limited to the same social networking sites such as Statistics on the number of views, shares or clicks in

[0008] Another example is the US Patent Publication No. 20140129558 patent Figure 4 As shown, it discloses a statistical chart that visually presents the propagation status of information related to the same event within a specific time interval, and US Patent No. 8676937 discloses a use that can display popular events in a specific geographic location operator interface, such as figure 1 As shown in J, but the above patent also does not disclose how to count various propagation relationship parameters and can only be applied to the integration and analysis of events in a single or specific server

[0009] To sum up, users of existing social networking sites lack appropriate methods to obtain various communication relationship parameters, and it is even more impossible to count various communication relationship parameters across platforms. Therefore, how to provide a cross-platform statistics of various communication relationship parameters? method has become an important issue

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