CN108596776A - A kind of social media propagation predictor method - Google Patents
A kind of social media propagation predictor method Download PDFInfo
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- CN108596776A CN108596776A CN201810408385.3A CN201810408385A CN108596776A CN 108596776 A CN108596776 A CN 108596776A CN 201810408385 A CN201810408385 A CN 201810408385A CN 108596776 A CN108596776 A CN 108596776A
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Abstract
The present invention proposes a kind of social media and propagates predictor method, chooses the information of multiple propagation first, then by word, picture or video to information into edlin, the information for needing to propagate is compiled as with this；Sample message will be editted to be sent on QQ media, then the data of estimation are sent in statistics equipment by the information viewing number then estimated by the number of visits of information and the hop count of information；Sample message will be editted to be sent on wechat media, then the information viewing number estimated by the number of visits of information and the hop count of information, then the data of estimation are sent in statistics equipment, sample message will be editted to be sent on wechat media, it is simple that this social media propagates predictor method step, not only so that estimating more accurately, and to estimate more comprehensively, it can be estimated in terms of each QQ media, wechat media, web page and TV media so that Predict analysis is more accurate.
Description
Technical field
The present invention relates to social media ASCII stream, specially a kind of social media propagates predictor method.
Background technology
Currently, with the rise of social media, social information, such as microblogging, Mobile IM have become propagation letter
The important channel of breath, especially as the rise from media, with the information of individual's publication, as article can be by social networks
Heavy propagate reaches very high propagation degree, and for a Moral quality card, the propagation (such as advertisement) of Brand is all with particularly significant
Meaning, these information are usually presented in the form of a web page, for article publisher, therefore it is highly desirable to pass through some means
The propagation condition of article is estimated in advance, such as the propagation amount of article can reach how many, wherein regression analysis is as common pre-
Survey tool is widely known to masses, however it is influenced by the factors such as " self-explanatory ", " differences between samples ", and there are many limits for practical application
Condition exists, and therefore, regression analysis and geometric progression, which estimate all, has the shortcomings that sample without method interpretation or explanatory low, in mould
Type extends and has very big limitation in business application, and existing predictor method step is complicated, estimates inaccuracy, is brought for people
Many inconvenience.
Invention content
The technical problem to be solved by the present invention is to overcome the existing defects, provides a kind of social media propagation predictor method,
Step is simple, not only so that estimating more accurate, and to estimate more comprehensively, provide a convenient, can be from each
It is estimated in terms of QQ media, wechat media, web page and TV media so that Predict analysis is more accurate, can be effective
Solve the problems in background technology.
To achieve the above object, the present invention proposes：A kind of social media propagation predictor method, includes the following steps：
S1) sample message editor：The information of multiple propagation is chosen first, then by word, picture or video to letter
It ceases into edlin, the information for needing to propagate is compiled as with this；
S2) QQ propagation is estimated：Sample message will be editted to be sent on QQ media, then by the number of visits of information and
The hop count of information watches number come the information estimated, then the data of estimation are sent in statistics equipment；
S3) wechat is propagated：Sample message will be editted to be sent on wechat media, then by the number of visits of information and
The hop count of information watches number come the information estimated, then the data of estimation are sent in statistics equipment；
S4) webpage is propagated：The information editted is sent in web page again, is then united to the pageview of webpage
Meter, viewing number is calculated by the number of statistics, and then the data of statistics are sent in statistics equipment；
S5) TV media is propagated：It is again news screen by information editing, then information is broadcast by TV news
Put, then count the audience ratings of the news reproduction time section, by the audience ratings of the period come estimation viewing number,
The data of estimation are sent in data statistics again；
S6) overall estimation：The data of being estimated QQ media by data statistics equipment, the data of wechat media estimation, net
The data of network diagram page estimation and the data of TV media estimation are counted, and social media propagation amount is estimated with this；
S7) broadcasting media is estimated：The multipacket message social media propagation amount of selection is counted again, then passes through data
Statistics equipment calculates the average of multipacket message propagation, is estimated to social media propagation with this.
As a preferred technical solution of the present invention：QQ propagation estimate with wechat propagation estimate when, need to QQ
Group and estimated with the number of visits in wechat group.
As a preferred technical solution of the present invention：It needs to carry out the position that headline is published when webpage is propagated
It estimates, is issued on the position estimated in the information for choosing multiple propagation.
Compared with prior art, the beneficial effects of the invention are as follows：This social media propagation predictor method step is simple, not only
So that estimating more accurately, and to estimate more comprehensively, provide a convenient, it can be from each QQ media, wechat matchmaker
It is estimated in terms of body, web page and TV media so that Predict analysis is more accurate.
Specific implementation mode
Technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work, shall fall within the protection scope of the present invention.
The present invention provides following technical scheme：A kind of social media propagation predictor method, includes the following steps：
S1) sample message editor：The information of multiple propagation is chosen first, then by word, picture or video to letter
It ceases into edlin, the information for needing to propagate is compiled as with this；
S2) QQ propagation is estimated：Sample message will be editted to be sent on QQ media, then by the number of visits of information and
The hop count of information watches number come the information estimated, then the data of estimation are sent in statistics equipment；
S3) wechat is propagated：Sample message will be editted to be sent on wechat media, then by the number of visits of information and
The hop count of information watches number come the information estimated, then the data of estimation are sent in statistics equipment, is propagated in QQ
Estimate with wechat propagation estimate when, need to QQ groups and and wechat group in number of visits estimate；
S4) webpage is propagated：The information editted is sent in web page again, is then united to the pageview of webpage
Meter, viewing number is calculated by the number of statistics, then the data of statistics is sent in statistics equipment, when webpage is propagated
It needs the position published to headline to estimate, is issued on the position estimated in the information for choosing multiple propagation；
S5) TV media is propagated：It is again news screen by information editing, then information is broadcast by TV news
Put, then count the audience ratings of the news reproduction time section, by the audience ratings of the period come estimation viewing number,
The data of estimation are sent in data statistics again；
S6) overall estimation：The data of the data, the estimation of wechat media estimated by data statistics equipment QQ media, network
The data of webpage estimation and the data of TV media estimation are counted, and social media propagation amount is estimated with this；
S7) broadcasting media is estimated：The multipacket message social media propagation amount of selection is counted again, then passes through data
Statistics equipment calculates the average of multipacket message propagation, is estimated to social media propagation with this, in statistics, first will
It is clear so that people watch that the sample message of selection is separately sent to QQ media, wechat media, web page and TV media
It lookes at, by being counted to the number of visits in QQ media, wechat media and web page, number of visits is equal to the people of viewing
Number, it is then that the number of visits in QQ media, wechat media and web page is added together, then by sample message in TV
Media play out, and then calculate the number televised to the audience ratings at the time end of information broadcasting, then will browsing
Number summation add the number televised and be added, the propagation amount of the sample message is calculated with this, in this approach to multiple
Information is counted, and is then added multiple information propagation amounts of statistics, is finally averaged, and is propagated social media with this pre-
Estimate.
Benefit of the present invention：This social media propagation predictor method step is simple, not only so that estimating more accurately, and makes
It must estimate more comprehensively, provide a convenient, it can be from each QQ media, wechat media, web page and TV media side
It is estimated in face so that Predict analysis is more accurate.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (3)
1. a kind of social media propagates predictor method, it is characterised in that：Include the following steps：
S1) sample message editor：Choose the information of multiple propagation first, then by word, picture or video to information into
Edlin is compiled as the information for needing to propagate with this；
S2) QQ propagation is estimated：Sample message will be editted to be sent on QQ media, then pass through the number of visits of information and information
Hop count watch number the information estimated, then the data of estimation are sent in statistics equipment；
S3) wechat is propagated：Sample message will be editted to be sent on wechat media, then pass through the number of visits of information and information
Hop count watch number the information estimated, then the data of estimation are sent in statistics equipment；
S4) webpage is propagated：The information editted is sent in web page again, then the pageview of webpage is counted,
Viewing number is calculated by the number of statistics, then the data of statistics are sent in statistics equipment；
S5) TV media is propagated：It is again news screen by information editing, then information is played out by TV news, so
The audience ratings for counting the news reproduction time section later, by the audience ratings of the period come estimation viewing number, then will
The data of estimation are sent in data statistics；
S6) overall estimation：Data, the web page of the data, the estimation of wechat media estimated by data statistics equipment QQ media
The data of data and the TV media estimation of estimation are counted, and social media propagation amount is estimated with this；
S7) broadcasting media is estimated：The multipacket message social media propagation amount of selection is counted again, then passes through data statistics
Equipment calculates the average of multipacket message propagation, is estimated to social media propagation with this.
2. a kind of social media propagates predictor method according to claim 1, it is characterised in that：It is estimated and wechat in QQ propagation
When propagation is estimated, need to QQ groups and and wechat group in number of visits estimate.
3. a kind of social media propagates predictor method according to claim 1, it is characterised in that：The needs pair when webpage is propagated
The position of headline publication is estimated, and is issued on the position estimated in the information for choosing multiple propagation.
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| CN201810408385.3A CN108596776A (en) | 2018-05-02 | 2018-05-02 | A kind of social media propagation predictor method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222909A (en) * | 2019-06-20 | 2019-09-10 | 郑州工程技术学院 | A kind of dissemination of news force prediction method |
| CN112000709A (en) * | 2020-07-17 | 2020-11-27 | 微梦创科网络科技（中国）有限公司 | Method and device for batch mining of total exposure of social media information |
| CN113781250A (en) * | 2020-09-14 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Social media information propagation evaluation method and device |
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| CN104202623A (en) * | 2014-08-04 | 2014-12-10 | 杜泽壮 | All media transmission index statistical method and device |
| CN105260905A (en) * | 2015-09-14 | 2016-01-20 | 陈佳 | Method and device for evaluating and predicting influence of media program |
| CN106250445A (en) * | 2016-07-27 | 2016-12-21 | 深圳市中北明夷科技有限公司 | A kind of social media propagates predictor method and device |
-
2018
- 2018-05-02 CN CN201810408385.3A patent/CN108596776A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104202623A (en) * | 2014-08-04 | 2014-12-10 | 杜泽壮 | All media transmission index statistical method and device |
| CN105260905A (en) * | 2015-09-14 | 2016-01-20 | 陈佳 | Method and device for evaluating and predicting influence of media program |
| CN106250445A (en) * | 2016-07-27 | 2016-12-21 | 深圳市中北明夷科技有限公司 | A kind of social media propagates predictor method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222909A (en) * | 2019-06-20 | 2019-09-10 | 郑州工程技术学院 | A kind of dissemination of news force prediction method |
| CN112000709A (en) * | 2020-07-17 | 2020-11-27 | 微梦创科网络科技（中国）有限公司 | Method and device for batch mining of total exposure of social media information |
| CN112000709B (en) * | 2020-07-17 | 2023-10-24 | 微梦创科网络科技（中国）有限公司 | Social media information total exposure batch mining method and device |
| CN113781250A (en) * | 2020-09-14 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Social media information propagation evaluation method and device |
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