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Method for extracting high-influence information of social network

A social network and extraction method technology, applied in the field of extraction of high-impact information on social networks, can solve problems such as waste of manpower and material resources, failure to reflect problems, etc.

Inactive Publication Date: 2013-09-04
北京宏博知微科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, a large number of reposts and comments do not directly represent exposure and influence. Due to the inherent difficulties in the information analysis of social networks, first of all, social networks are full of false information and low-quality information, and a unified analysis of these information Observation and understanding will waste a lot of manpower and material resources, and cannot reflect real problems; secondly, due to the large number of participants, the information is unbounded, and the information can be infinitely expanded in the network, and even finally affect the reality. Such a large amount of original information is difficult Fully understand and effectively extract, ultimately used to assist decision-making

Method used

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  • Method for extracting high-influence information of social network
  • Method for extracting high-influence information of social network
  • Method for extracting high-influence information of social network

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Experimental program
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specific Embodiment approach 1

[0038] Specific implementation mode one: the following combination figure 1 Describe this embodiment, the method for extracting effective information of a kind of social network described in this embodiment, it comprises the following steps:

[0039] Step 1: Obtain all S pieces of published microblog information to be analyzed and related records of all reposts corresponding to the microblog, Q(G) represents the complete record of the Gth microblog, G=1, 2, 3, ..., S. Indicates the relevant record of the kth forwarding of the Gth microblog, P k G = { id k G , ct k G , prg k G , prf k G , prw k G , cs ...

specific Embodiment approach 2

[0044] Specific embodiment 2: This embodiment is a further description of Embodiment 1. In Step 2 of this embodiment, for the Gth microblog information, the distribution evaluation index Sd(G) is obtained from the complete record. The specific method is:

[0045] Step 21: For the sources of publishing tools for all reposts of the G microblog information, count the total number of reposts Sd1(G) of which the source of the publishing tool is "Sina Weibo" and the reposts whose source is "iphone client" The total number Sd2(G), the total number of reposts from "Android client" Sd3(G), the total number of reposts from "360 Security Browser" Sd4(G), the total number of all reposts SdA (G)

[0046] Step 22: According to the above, calculate the proportional coefficient of the source of each publishing tool, that is, the proportional coefficient of the source is "Sina Weibo" The source is the scale factor of "iphone client" Scale factor with source as "Android client" The sourc...

specific Embodiment approach 3

[0049] Specific implementation mode three, specific implementation mode three: this implementation mode is a further description of implementation mode two, in step three described in this implementation mode, for the Gth microblog information, the true value is obtained from the complete record The specific method for evaluating the index Sr(G) is:

[0050] Step 31: For the complete record Q(G) of the Gth microblog information, according to the complete record information forwarded, extract the feature quantity set of the kth forwarded record where k=1, 2, 3, . . . , SdA(G). use Indicates the l-th feature quantity of the k-th forwarding record, the total number of forwarding records of this microblog, where l=1, 2, 3, 4, each specific Calculated as follows:

[0051] PF k G ( 1 ) = prf k G , PF...

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Abstract

The invention provides an information extraction method based on transmission and distribution statistics and validity evaluation on the basis of intrinsic characteristics of a social network. The method includes the steps of carrying out initial qualitative evaluation on information distribution according to information source tools and establishing valid quadratic characteristics based on user information in the process of validity processing to carry out quantitative evaluation. In the process of calculation, a linear complexity algorithm is used for carrying out analysis, the demand for computing resources is low, and time cost and space cost are low. In the process of association, comparison processing is carried out, and MicroBlog information which is really high in exposure rate is output at last. The information extraction method has higher practical value in reality, effectively achieves analysis on influence and exposure rates of public opinion information of the social network and can filter out low-quality data and reserve true and valid information for use in follow-up manual analysis.

Description

technical field [0001] The invention relates to a method for extracting high-influence information of a social network, belonging to the technical application field of social network data mining. Background technique [0002] As an important and efficient information transmission platform, social network has more and more people participating in it. The government, institutions, and business units exchange information with everyone on this platform, absorb opinions from all sides in a timely manner, evaluate the development and effect of various policies, and then revise and re-plan the original plan. [0003] At present, information evaluation by enterprises is generally based on manual analysis, and due to the massive nature of network information, information with low forwarding and comment volume is directly ignored in manual processing, and it is mainly based on a large number of forwarding or comment information on social networks. When enterprises conduct information...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 于霄
Owner 北京宏博知微科技有限公司
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