CN114187126B - Network public opinion management and control system based on data analysis - Google Patents
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Abstract
The invention discloses an online public opinion management and control system based on data analysis, which relates to the technical field of online public opinion management and control, solves the technical problem that the real-time topics in a network can not be accurately judged in the prior art, so that the public opinion management and control efficiency is caused, and influences of the topics are judged, so that the influence types of the topics are pertinently managed and controlled, continuous discussion of negative topics is effectively prevented, and the working intensity of the network for processing the negative topics is favorably reduced; effect analysis is carried out on the front hot topic, and the real-time public opinion effect of the front hot topic is judged, so that the propaganda efficiency of the front hot topic is improved, the network public opinion is promoted, and the public opinion management and control efficiency is improved; whether the front cold topic propagation path is normal is judged, the front cold topic is prevented from being evolved into a negative topic in the propagation process, the front cold topic is also analyzed, the influence of the front cold topic is favorably improved, and the efficiency of network front topic propagation is increased.
Description
Technical Field
The invention relates to the technical field of online public opinion management and control, in particular to an online public opinion management and control system based on data analysis.
Background
With the rapid development of the internet, network media are a new information transmission form, and go deep into the daily life of people, the network friend theory is active to an unprecedented extent, and no matter domestic or international important events, the network public theory can be formed immediately, the military alarm-related event becomes a target for stir-frying of partial netizens, the occupation and transmission thought is expressed through the network, and then great public opinion pressure is generated, so that the situation that any department and organization cannot ignore is achieved, and the internet becomes an amplifier of the place of concentration of thought and culture information and the social public opinion.
However, in the prior art, real-time topics in a network cannot be analyzed in time, so that public opinion management and control efficiency is reduced, and meanwhile, public opinion effects cannot be analyzed aiming at front hot topics, and the propaganda effects of the front topics cannot be accurately judged; in addition, the front cold topic cannot be analyzed, and the problem of front cold topic transmission is judged, so that the transmission of the front public opinion in the network is not facilitated.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a network public opinion management and control system based on data analysis, which is used for judging the influence of topics, so that the influence types of the topics are managed and controlled in a targeted manner, the continuous discussion of negative topics is effectively prevented, and the working intensity of network negative topic processing is favorably reduced; effect analysis is carried out on the front trending topic, and the real-time public opinion effect of the front trending topic is judged, so that the propaganda efficiency of the front trending topic is improved, the network public opinion is promoted, and the public opinion management and control efficiency is improved; whether the front cold topic propagation path is normal is judged, the front cold topic is prevented from being evolved into a negative topic in the propagation process, the front cold topic is also analyzed, the influence of the front cold topic is favorably improved, and the efficiency of network front topic propagation is increased.
The purpose of the invention can be realized by the following technical scheme:
a network public opinion management and control system based on data analysis comprises a public opinion management and control platform, wherein a server is arranged in the public opinion management and control platform, and the server is in communication connection with a public opinion judgment unit, a public opinion monitoring unit, a platform monitoring unit, an effect analysis unit and an adjustment control unit;
the public opinion management platform is used for monitoring and controlling public opinions in a network, the server generates a public opinion monitoring signal and sends the public opinion monitoring signal to the public opinion monitoring unit, and the public opinion monitoring unit is used for analyzing and monitoring real-time topics of the network; the method comprises the steps that real-time topics are divided into hot topics and cold topics through analysis, the hot topics and the cold topics are sent to a server, the server receives the hot topics and the cold topics, then public opinion judgment signals are generated and sent to a public opinion judgment unit, and the public opinion judgment unit is used for judging various types of influences on the hot topics and the cold topics; the hot topics and the cold topics are refined into negative hot topics, positive hot topics, negative cold topics and positive cold topics through analysis; carrying out effect analysis on the front hot topic by an effect analysis unit; analyzing and monitoring the propagation path of the front cold topic by a platform monitoring unit; and controlling the negative hot topic and the negative cold topic by adjusting the control unit.
As a preferred embodiment of the present invention, the monitoring process of the public opinion monitoring unit is as follows:
collecting real-time topics in a network, setting a label i of the real-time topics as a natural number larger than 1, setting monitoring time, collecting the webpage times, the real-time visiting number and the corresponding comment number of the topics, which appear in the real-time topics within the monitoring time, and respectively marking the webpage times, the real-time visiting number and the corresponding comment number of the topics as CSi, RSi and SLi; obtaining an influence analysis coefficient Xi of the real-time topic in the monitoring time through analysis, and comparing the influence analysis coefficient of the real-time topic in the monitoring time with an influence analysis coefficient threshold value:
if the influence analysis coefficient of the real-time topic in the monitoring time is larger than or equal to the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is large, and marking the corresponding real-time topic as a hot topic; if the influence analysis coefficient of the real-time topic in the monitoring time is smaller than the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is small, and marking the corresponding real-time topic as a cold topic; and sending the hot topic and the cold topic to a server.
As a preferred embodiment of the present invention, the public opinion determining unit performs the following determination process:
collecting the number of persons who are negotiated corresponding to historical topics in the network and the active time of the historical topics, comparing the number of persons who are negotiated corresponding to the historical topics in the network and the active time of the historical topics with a threshold of the number of persons who are negotiated and a threshold of the active time, and if the number of persons who are negotiated corresponding to the historical topics in the network exceeds the threshold of the number of persons who are negotiated and the active time of the historical topics is less than the threshold of the active time, marking the corresponding historical topics as negative historical topics; if the number of the discussion people corresponding to the historical topic is smaller than the threshold of the number of the discussion people and the active time length of the historical topic is larger than the threshold of the active time length, marking the corresponding historical topic as a front historical topic; respectively extracting keywords from the negative historical topics and the positive historical topics, and constructing a negative keyword set and a positive keyword set;
extracting keywords from the hot topics and the cold topics, and if the keywords corresponding to the hot topics are consistent with the subsets in the negative keyword set, marking the corresponding hot topics as negative hot topics; if the keywords corresponding to the hot topics are consistent with the subsets in the front keyword set, marking the corresponding hot topics as front hot topics; if the keywords corresponding to the cold topic are consistent with the subsets in the negative keyword set, marking the corresponding hot topic as a negative cold topic; if the keywords corresponding to the cold topics are consistent with the subsets in the front keyword set, marking the corresponding hot topics as front cold topics; and sending the negative hot topic, the positive hot topic, the negative cold topic and the positive cold topic to the server.
As a preferred embodiment of the present invention, the effect analysis process of the effect analysis unit is as follows:
acquiring the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network, and comparing the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network with a growth speed threshold and a duration threshold respectively:
if the growth speed of the number of people participating in the talks in real time of the front hot topic is greater than the growth speed threshold value and the duration in the network is greater than the duration threshold value, judging that the network transmission efficiency of the corresponding front hot topic is qualified, generating a transmission efficiency qualified signal and sending the transmission efficiency qualified signal to a server;
if the growth speed of the number of people participating in the talkings on the front hot topic is smaller than the growth speed threshold or the duration in the network is smaller than the duration threshold, judging that the network transmission efficiency of the corresponding front hot topic is unqualified, generating a signal with unqualified transmission efficiency and sending the signal with unqualified transmission efficiency to a server; and after receiving the signal with unqualified propagation efficiency, the server sends the corresponding front hot topic to the adjusting and controlling unit, and the adjusting and controlling unit enlarges the corresponding value of the limited flow of the corresponding front hot topic and increases the pushing times of the front hot topic.
As a preferred embodiment of the present invention, the monitoring process of the platform monitoring unit is as follows:
collecting the transshipment network platform corresponding to the front cold door topic, marking the corresponding transshipment network platform as k, wherein k is a natural number greater than 1, collecting the number of the registered user terminals of the transshipment network platform, the number of the received bad comments and the daily average generated flow value, and respectively marking the number of the registered user terminals of the transshipment network platform, the number of the received bad comments and the daily average generated flow value as ZSLk, JCPk and LLZk; and analyzing to obtain a credibility analysis coefficient Ck of the transshipment network platform, and comparing the credibility analysis coefficient of the transshipment network platform with the credibility analysis coefficient:
if the credibility analysis coefficient of the transshipment network platform is larger than or equal to the credibility analysis coefficient, judging that the transshipment network platform is not suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as a negative platform; if the credibility analysis coefficient of the transshipment network platform is less than the credibility analysis coefficient, judging that the transshipment network platform is suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as an active platform;
the passive platform and the active platform corresponding to the front cold topic are sent to a server; after receiving the front cold topic, the corresponding passive platform and the positive platform, the server generates a reprint adjusting signal and sends the reprint adjusting signal to the adjusting control unit, and after receiving the reprint adjusting signal, the adjusting control unit limits and increases the time length of the reprint interval corresponding to the passive platform of the front cold topic, and reduces the time length of the reprint interval of the positive platform of the front cold topic.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the attention degree of the real-time topics is judged, and the topics with influence are monitored in real time, so that the phenomenon that the real-time public sentiment management and control efficiency in the network is reduced due to untimely public sentiment acquisition is prevented; influence judgment is carried out on the topics, so that the influence types of the topics are controlled in a targeted mode, continuous discussion of negative topics is effectively prevented, and the working intensity of a network for processing the negative topics is favorably reduced; effect analysis is carried out on the front hot topic, and the real-time public opinion effect of the front hot topic is judged, so that the propaganda efficiency of the front hot topic is improved, the network public opinion is promoted, and the public opinion management and control efficiency is improved; whether the front cold topic propagation path is normal is judged, the front cold topic is prevented from being evolved into a negative topic in the propagation process, the front cold topic is also analyzed, the influence of the front cold topic is favorably improved, and the efficiency of network front topic propagation is increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of an online public opinion management and control system based on data analysis according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an internet public opinion management and control system based on data analysis includes a public opinion management and control platform, a server is disposed in the public opinion management and control platform, and the server is connected with a public opinion determination unit, a public opinion monitoring unit, a platform monitoring unit, an effect analysis unit and an adjustment control unit in a communication manner;
public opinion management platform is used for monitoring the public opinion in the network and manages, the server generates public opinion monitoring signal and sends public opinion monitoring signal to public opinion monitoring unit, public opinion monitoring unit is used for carrying out analysis monitoring to the real-time topic of network, thereby judge the attention degree of real-time topic, and carry out real-time supervision to the topic that has influence, prevent that the public opinion from acquireing untimely, lead to the reduction of real-time public opinion management and control efficiency in the network, concrete analysis monitoring process is as follows:
collecting real-time topics in a network, setting a label i of the real-time topics as a natural number larger than 1, setting monitoring time, collecting the webpage times, the real-time visiting number and the corresponding comment number of the topics, which appear in the real-time topics within the monitoring time, and respectively marking the webpage times, the real-time visiting number and the corresponding comment number of the topics as CSi, RSi and SLi; by the formula
Obtaining influence analysis coefficients Xi of the real-time topics within the monitoring time, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is larger than a2 is larger than a3 is larger than 0; the influence analysis coefficient of the real-time topic is a numerical value for judging the influence of the real-time topic by normalizing the parameters of the real-time topic; by the formulaThe larger the number of times of the webpage, the number of real-time visitors and the number of corresponding comments of the topic are, the larger the influence analysis coefficient of the real-time topic is, and the larger the influence of the real-time topic in the network is;
comparing the influence analysis coefficient of the real-time topic in the monitoring time with an influence analysis coefficient threshold value:
if the influence analysis coefficient of the real-time topic in the monitoring time is larger than or equal to the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is large, and marking the corresponding real-time topic as a hot topic; if the influence analysis coefficient of the real-time topic in the monitoring time is smaller than the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is small, and marking the corresponding real-time topic as a cold topic;
sending the hot topic and the cold topic to a server;
the server generates a public opinion judgment signal and sends the public opinion judgment signal to the public opinion judgment unit after receiving the hot topic and the cold topic, and the public opinion judgment unit is used for judging various influences on the hot topic and the cold topic, wherein the various influences comprise positive influences and negative influences; influence judgment is carried out on the topic, so that the influence type of the topic is pertinently controlled, negative topics are effectively prevented from being continuously negotiated, the working strength of the network for processing the negative topics is favorably reduced, and the specific judgment process is as follows:
collecting the number of persons who are negotiated corresponding to historical topics in the network and the active time of the historical topics, comparing the number of persons who are negotiated corresponding to the historical topics in the network and the active time of the historical topics with a threshold of the number of persons who are negotiated and a threshold of the active time, and if the number of persons who are negotiated corresponding to the historical topics in the network exceeds the threshold of the number of persons who are negotiated and the active time of the historical topics is less than the threshold of the active time, marking the corresponding historical topics as negative historical topics; if the number of the persons to be discussed corresponding to the historical topics is smaller than the threshold value of the number of the persons to be discussed, and the active time length of the historical topics is larger than the threshold value of the active time length, marking the corresponding historical topics as front historical topics; respectively extracting keywords from the negative historical topics and the positive historical topics, and constructing a negative keyword set and a positive keyword set;
extracting keywords of the hot topics and the cold topics, and if the keywords corresponding to the hot topics are consistent with the subsets in the negative keyword set, marking the corresponding hot topics as negative hot topics; if the corresponding keywords of the hot topics are consistent with the subsets in the front keyword set, marking the corresponding hot topics as front hot topics; if the keywords corresponding to the cold topic are consistent with the subsets in the negative keyword set, marking the corresponding hot topic as a negative cold topic; if the keywords corresponding to the cold topics are consistent with the subsets in the front keyword set, marking the corresponding hot topics as front cold topics;
sending the negative hot topic, the positive hot topic, the negative cold topic and the positive cold topic to a server; the server receives and produces effect analysis signal and with effect analysis signal transmission to effect analysis unit behind the positive hot topic, effect analysis unit is used for carrying out effect analysis to the positive hot topic, judges the real-time public opinion effect of positive hot topic, has improved the efficiency of publicity of positive hot topic, plays the promotion effect to the network public opinion, has improved public opinion management and control efficiency, and concrete effect analysis process is as follows:
acquiring the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network, and comparing the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network with a growth speed threshold and a duration threshold respectively:
if the growth speed of the number of people participating in the talkings in real time of the front hot topic is greater than the growth speed threshold value and the duration in the network is greater than the duration time threshold value, judging that the network transmission efficiency of the corresponding front hot topic is qualified, generating a transmission efficiency qualified signal and sending the transmission efficiency qualified signal to a server;
if the growth speed of the number of people participating in the talkings on the front hot topic in real time is smaller than the growth speed threshold or the duration in the network is smaller than the duration threshold, judging that the network transmission efficiency of the corresponding front hot topic is unqualified, generating a signal with unqualified transmission efficiency and sending the signal with unqualified transmission efficiency to a server; after receiving the signal with unqualified transmission efficiency, the server sends the corresponding front hot topic to the adjusting and controlling unit, the adjusting and controlling unit enlarges the corresponding value of the limited flow of the corresponding front hot topic and increases the pushing times of the front hot topic;
after the server receives the front cold topic, generate platform monitoring signal and with platform monitoring signal transmission to platform monitoring unit, platform monitoring unit is used for carrying out analysis and monitoring to the propagation route of the front cold topic, judge whether the propagation route of the front cold topic is normal, prevent that the front cold topic from evolving into negative topic in the propagation process, also analyze the front cold topic, the influence that is favorable to the cold topic improves, increase the efficiency that the network front topic propagates, concrete monitoring process is as follows:
collecting a transshipment network platform corresponding to the front cold question, marking the corresponding transshipment network platform as k, wherein k is a natural number larger than 1, collecting the number of the registered user terminals of the transshipment network platform, the number of the received negative comments and the daily average generated flow value, and respectively marking the number of the registered user terminals of the transshipment network platform, the number of the received negative comments and the daily average generated flow value as ZSLk, JCPk and LLZk; by the formula
Acquiring a credibility analysis coefficient Ck of the transshipment network platform, wherein b1, b2 and b3 are all preset proportionality coefficients, b1 is more than b2 is more than b3 is more than 0, and beta is an error correction factor and is 1.35; the credibility analysis coefficient of the transshipment network platform is a numerical value used for judging the transshipment credibility of the topic of the transshipment network platform by carrying out normalization processing on the parameters of the transshipment network platform; the larger the number of registered user terminals of the transshipment network platform and the daily average generated flow value are obtained through a formula, the smaller the received bad comment number is, the larger the credibility analysis coefficient of the transshipment network platform is, and the higher the credibility of the transshipment network platform corresponding to the front cold topic is represented;
comparing the credibility analysis coefficient of the transshipment network platform with the credibility analysis coefficient:
if the credibility analysis coefficient of the transshipment network platform is larger than or equal to the credibility analysis coefficient, judging that the transshipment network platform is not suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as a negative platform; if the credibility analysis coefficient of the transshipment network platform is less than the credibility analysis coefficient, judging that the transshipment network platform is suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as an active platform;
the passive platform and the active platform corresponding to the front cold topic are sent to a server;
after receiving the front cold topic, the corresponding passive platform and the positive platform, the server generates a reprint adjusting signal and sends the reprint adjusting signal to the adjusting control unit, and after receiving the reprint adjusting signal, the adjusting control unit limits and increases the time length of the reprint interval corresponding to the passive platform of the front cold topic, and reduces the time length of the reprint interval of the positive platform of the front cold topic;
the server generates a negative control signal and sends the negative control signal to the adjusting control unit after receiving the negative hot topics and the negative cold topics, the adjusting control unit limits the reprinting amount of the negative hot topics and the negative cold topics after receiving the negative control signal, and meanwhile, comment windows corresponding to the negative hot topics and the negative cold topics are sealed.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, public sentiments in the network are monitored and controlled through the public sentiment management platform, the server generates public sentiment monitoring signals and sends the public sentiment monitoring signals to the public sentiment monitoring unit, and the network real-time topics are analyzed and monitored through the public sentiment monitoring unit; the method comprises the steps that real-time topics are divided into hot topics and cold topics through analysis, the hot topics and the cold topics are sent to a server, the server receives the hot topics and the cold topics, then public opinion judgment signals are generated and sent to a public opinion judgment unit, and the public opinion judgment unit is used for judging various types of influences on the hot topics and the cold topics; the hot topics and the cold topics are refined into negative hot topics, positive hot topics, negative cold topics and positive cold topics through analysis; carrying out effect analysis on the front hot topic by an effect analysis unit; analyzing and monitoring the propagation path of the front cold topic by a platform monitoring unit; and controlling the negative hot topic and the negative cold topic by adjusting the control unit.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (2)
1. A network public opinion management and control system based on data analysis is characterized by comprising a public opinion management and control platform, wherein a server is arranged in the public opinion management and control platform and is in communication connection with a public opinion judgment unit, a public opinion monitoring unit, a platform monitoring unit, an effect analysis unit and an adjustment control unit;
the public opinion management platform is used for monitoring and controlling public opinions in a network, the server generates a public opinion monitoring signal and sends the public opinion monitoring signal to the public opinion monitoring unit, and the public opinion monitoring unit is used for analyzing and monitoring network real-time topics; the method comprises the steps that real-time topics are divided into hot topics and cold topics through analysis, the hot topics and the cold topics are sent to a server, the server receives the hot topics and the cold topics, then public opinion judgment signals are generated and sent to a public opinion judgment unit, and the public opinion judgment unit is used for judging various types of influences on the hot topics and the cold topics; the hot topics and the cold topics are refined into negative hot topics, positive hot topics, negative cold topics and positive cold topics through analysis; carrying out effect analysis on the front hot topic by an effect analysis unit; analyzing and monitoring the propagation path of the front cold topic by a platform monitoring unit; controlling the negative hot topic and the negative cold topic by an adjusting control unit;
the monitoring process of the public opinion monitoring unit is as follows:
collecting real-time topics in a network, setting a label i of the real-time topics as a natural number larger than 1, setting monitoring time, collecting the webpage times, the real-time visiting number and the corresponding comment number of the topics, which appear in the real-time topics within the monitoring time, and respectively marking the webpage times, the real-time visiting number and the corresponding comment number of the topics as CSi, RSi and SLi; by the formula
Obtaining influence analysis coefficients Xi of real-time topics within monitoring time, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is larger than a2 and larger than a3 is larger than 0; comparing the influence analysis coefficient of the real-time topic in the monitoring time with an influence analysis coefficient threshold value:
if the influence analysis coefficient of the real-time topic in the monitoring time is not less than the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is large, and marking the corresponding real-time topic as a hot topic; if the influence analysis coefficient of the real-time topic in the monitoring time is smaller than the influence analysis coefficient threshold value, judging that the influence of the corresponding real-time topic is small, and marking the corresponding real-time topic as a cold topic; sending the hot topic and the cold topic to a server;
the public opinion judging unit comprises the following judging processes:
collecting the number of persons who are negotiated corresponding to historical topics in the network and the active time of the historical topics, comparing the number of persons who are negotiated corresponding to the historical topics in the network and the active time of the historical topics with a threshold of the number of persons who are negotiated and a threshold of the active time, and if the number of persons who are negotiated corresponding to the historical topics in the network exceeds the threshold of the number of persons who are negotiated and the active time of the historical topics is less than the threshold of the active time, marking the corresponding historical topics as negative historical topics; if the number of the persons to be discussed corresponding to the historical topics is smaller than the threshold value of the number of the persons to be discussed, and the active time length of the historical topics is larger than the threshold value of the active time length, marking the corresponding historical topics as front historical topics; respectively extracting keywords from the negative historical topics and the positive historical topics, and constructing a negative keyword set and a positive keyword set;
extracting keywords of the hot topics and the cold topics, and if the keywords corresponding to the hot topics are consistent with the subsets in the negative keyword set, marking the corresponding hot topics as negative hot topics; if the keywords corresponding to the hot topics are consistent with the subsets in the front keyword set, marking the corresponding hot topics as front hot topics; if the keywords corresponding to the cold topic are consistent with the subsets in the negative keyword set, marking the corresponding hot topic as a negative cold topic; if the keywords corresponding to the cold topic are consistent with the subsets in the front keyword set, marking the corresponding hot topic as the front cold topic; sending the negative hot topic, the positive hot topic, the negative cold topic and the positive cold topic to a server;
the effect analysis process of the effect analysis unit is as follows:
acquiring the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network, and comparing the growth speed of the real-time participated talkaround people on the front hot topic and the duration in the network with a growth speed threshold and a duration threshold respectively:
if the growth speed of the number of people participating in the talks in real time of the front hot topic is greater than the growth speed threshold value and the duration in the network is greater than the duration threshold value, judging that the network transmission efficiency of the corresponding front hot topic is qualified, generating a transmission efficiency qualified signal and sending the transmission efficiency qualified signal to a server;
if the growth speed of the number of people participating in the talkings on the front hot topic is smaller than the growth speed threshold or the duration in the network is smaller than the duration threshold, judging that the network transmission efficiency of the corresponding front hot topic is unqualified, generating a signal with unqualified transmission efficiency and sending the signal with unqualified transmission efficiency to a server; after receiving the signal with unqualified propagation efficiency, the server sends the corresponding front hot topic to the adjusting and controlling unit, the adjusting and controlling unit enlarges the corresponding value of the limited flow of the corresponding front hot topic, and increases the pushing times of the front hot topic.
2. The system according to claim 1, wherein the monitoring process of the platform monitoring unit is as follows:
collecting a transshipment network platform corresponding to the front cold question, marking the corresponding transshipment network platform as k, wherein k is a natural number larger than 1, collecting the number of the registered user terminals of the transshipment network platform, the number of the received negative comments and the daily average generated flow value, and respectively marking the number of the registered user terminals of the transshipment network platform, the number of the received negative comments and the daily average generated flow value as ZSLk, JCPk and LLZk; and analyzing to obtain a credibility analysis coefficient Ck of the transshipment network platform, and comparing the credibility analysis coefficient of the transshipment network platform with the credibility analysis coefficient:
if the credibility analysis coefficient of the transshipment network platform is larger than or equal to the credibility analysis coefficient, judging that the transshipment network platform is not suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as a negative platform; if the credibility analysis coefficient of the transshipment network platform is smaller than the credibility analysis coefficient, judging that the transshipment network platform is suitable for the corresponding front cold topic, and marking the corresponding transshipment network platform as an active platform;
the passive platform and the active platform corresponding to the front cold topic are sent to a server; after the server receives the front cold topic, the corresponding passive platform and the positive platform, a reprint adjusting signal is generated and sent to the adjusting control unit, after the adjusting control unit receives the reprint adjusting signal, time limit increasing is carried out on the reprint interval duration corresponding to the negative platform of the front cold topic, and the active platform reprint interval duration of the front cold topic is shortened.
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