Author influence propagation ability prediction method based on interest similarity model

A technology of similar models and prediction methods, applied in special data processing applications, instruments, data mining, etc., which can solve the problems of not considering the similarities and differences of the author's interests, and insufficient consideration.

Active Publication Date: 2016-11-16
CENT SOUTH UNIV
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Problems solved by technology

The existing author influence assessment methods only evaluate the influence of the current static data or network, and the consideration is not comprehensive enough. Neither the author's personal information over time nor the weight of the relationship between authors has a more comprehensive Precise definition, also does not take into account similarities and differences of interests between authors

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  • Author influence propagation ability prediction method based on interest similarity model
  • Author influence propagation ability prediction method based on interest similarity model
  • Author influence propagation ability prediction method based on interest similarity model

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Embodiment Construction

[0078] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0079] A method for predicting author's influence communication ability based on similar interest model, comprising the following steps:

[0080] Step 1: Extract and mine the academic relationship information of the author's literature from the basic information of the literature in the literature database, including the author-paper writing relationship and the literature-document citation relationship;

[0081] Step 2: According to the author-paper writing relationship and document-document citation relationship, establish author citation relationship network and author cooperation relationship network;

[0082] Step 3: Calculate the interest similarity between authors based on the co-citation relationship; the co-citation relationship means that if the authors of two documents cite one document at the same time, it is said that the...

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Abstract

The invention discloses an author influence propagation ability prediction method based on an interest similarity model. The author influence propagation ability prediction method includes the following steps that 1, academic relation information of author literature is extracted and excavated from literature basic information of a literature database and includes author-paper writing relation and literature-literature citation relation; 2, according to the author-paper writing relation and the literature-literature citation relation, an author citation relation network and an author cooperative relation network are set up; 3, based on co-citation relation, interest similarity among authors is calculated, wherein the co-citation relation means that if two pieces of literature citrates one piece of literature, the two pieces of literature have the co-citation relation; 4, the author citation relation network and the author cooperative relation network are used for excavating author influence propagation path; interest similarity is used as path weight, and influence propagation ability is obtained through weighted calculation.

Description

technical field [0001] The invention relates to a method for predicting an author's influence communication ability based on an interest similarity model. Background technique [0002] The evaluation of influence in academic network is one of the hotspots in social network research in recent years. Existing author influence evaluation methods can be roughly divided into two categories: [1] , the first is a statistical method, which considers information such as the number of documents and the number of citations, such as the number of published documents by the author, the number of citations by the author, the number of co-authors by the author, and the H index [3] etc. There have also been many improved models for these indicators to more accurately assess individual influence. The second is an evaluation method based on the academic relationship network structure, which considers the entire academic relationship network, abstracts authors into nodes, abstracts the relati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2462G06F16/382G06F2216/03
Inventor 黄芳常宁王向前万文聪
Owner CENT SOUTH UNIV
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