CN110442958B - Method for evaluating influence factors of geographic analysis model - Google Patents
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Abstract
The invention discloses a method for evaluating influence factors of a geographic analysis model, which comprises the following steps: index statistics is carried out on the geographic analysis model, and a reference factor, a researcher factor and a social factor of the geographic analysis model are calculated and evaluated respectively; and performing weighted summation on the citation factor, the researcher factor and the social factor obtained by calculation and evaluation, and calculating a comprehensive influence factor of the geographic analysis model. According to the method, various indexes capable of reflecting the research depth and the research breadth of the model are counted for the geographical analysis model shared by the users, the indexes are integrated in a reasonable mode, quantitative indexes are designed for the influence factors of the geographical analysis model, the research depth and the research breadth of the geographical analysis model are disclosed, and a basis is provided for comparison of the geographical analysis model.
Description
Technical Field
The invention relates to the fields of geographic modeling and simulation and model influence factor evaluation, in particular to a method for evaluating a geographic analysis model influence factor.
Background
The geographic analysis model is an effective means for simulating geographic phenomena and processes and solving geographic problems. In recent years, scholars at home and abroad construct a plurality of geographic analysis models to deal with the simulation of different geographic scenes, and the geographic analysis model sharing becomes the basis and key factors for solving large-scale complex geographic problems for multi-model collaborative coupling and integration. Due to the rapid increase of the sharing number of the geographic analysis models, users of the geographic analysis models are difficult to find an authoritative and effective geographic analysis model in a short time to solve the problems faced by the users.
Therefore, a new technical solution is needed to solve this problem.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the method for evaluating the influence factors of the geographic analysis model is provided, the geographic analysis model is objectively and quantitatively evaluated, the research depth and the research breadth of the geographic analysis model are disclosed, a user of the geographic analysis model can visually and accurately know the influence factors of the model, and the user can visually know and compare the influence factors of different geographic analysis models conveniently.
The technical scheme is as follows: in order to achieve the above object, the present invention provides a method for evaluating influence factors of a geographic analysis model, comprising the following steps:
s1: index statistics is carried out on the geographic analysis model, and reference factors C for evaluating the geographic analysis model are calculated respectively factor Investigator factor R factor And social factor S factor ；
S2: calculating and evaluating the obtained reference factor C factor Investigator factor R factor Social factor S factor And performing weighted summation to calculate a comprehensive influence factor of the geographic analysis model, wherein the specific calculation process is as follows:
G factor ＝w C ×C factor +w R ×R factor +w S ×S factor
wherein, w C 、w R 、w S Reference factors C for the respective geographic analysis model factor Investigator factor R factor Social factor S factor Weight value occupied in the geographical analysis model comprehensive influence factor, and w C +w R +w S ＝1。
Further, the weighted value in step S2 is configured by an expert scoring method, and the specific process is as follows:
s2-1: making a table containing various indexes needing to be configured with weight values, dividing the indexes with the weight values added equal to 1 into a group, dividing the group into N groups, and labeling specific meanings of the indexes and grouping bases of the groups;
s2-2: inviting relevant experts in the fields of geographic modeling and simulation to grade the indexes within a specified grading range according to the importance of the indexes;
s2-3: after obtaining a large number of expert scores, counting the total score Y of each single index x (x∈[1，n]N is a fingerNumber of items) and calculates total score Z of each group, respectively j ；
S2-4: calculating the weight values of the indexes, specifically as follows:
wherein x belongs to [1,n ] and x is a positive integer, and n is the number of terms of the index; since the indices are divided into N groups, j =1,2,3, … … N.
Further, the reference factor C factor The calculating method comprises the following steps:
a-1) statistical reference to the paper space P of the geographical analysis model n ；
A-2) the number of quotes C of papers that quote the geographical analysis model statistically n ；
A-3) calculating a reference factor C of the geographic analysis model factor ：
C factor ＝w c1 ×P n +w c2 ×C n
Wherein the index P n Indicates the extent of model study, index C n Representing the depth of the model study; w is a c1 、w c2 Is a weight value assigned to each index of a geographic analysis model reference factor, and w c1 +w c2 ＝1。
Further, the researcher factor R factor The calculating method comprises the following steps:
b-1) calculating the influence T of the geographic analysis model developer;
b-2) calculating the influence O of other researchers applying or improving the geographic analysis model, wherein the value of the index is equal to the number of the researchers except the developer;
b-3) number A of geographic areas studied by a user of a statistical geographic analysis model using this model n ；
B-4) counting the number of organizations I affiliated by researchers related to the geographic analysis model n ；
B-5) calculating the researcher factor R of the geographic analysis model factor ：
R factor ＝w r1 ×T+w r2 ×O+w r3 ×A n +w r4 ×I n
Wherein, the index T reflects the depth of model research, and the index O, A n 、I n Reflecting the breadth of the model study; w is a r1 、w r2 、w r3 、w r4 Is a weight value assigned to each index of a researcher factor of the geographic analysis model, and w r1 +w r2 +w r3 +w r4 ＝1。
Further, the social factor S factor The calculation method comprises the following steps:
c-1) viewing volume V of statistical geographic analysis model n ；
C-2) statistical download quantity D of geographic analysis model source codes n ；
C-3) counting the number of times K of calling online services of the geographic analysis model n ；
C-4) calculating an average score M of the model after the user calls the geographic analysis model;
c-5) calculating social factor S of geographic analysis model factor ：
S factor ＝w s1 ×V n +w s2 ×D n +w s3 ×K n +w s4 ×M
Wherein, V n 、D n 、K n All the four indexes of M reflect the breadth of model research; w is a s1 、w s2 、w s3 、w s4 Is a weight value assigned to each index of the social factors of the geographic analysis model, and w s1 +w s2 +w s3 +w s4 ＝1。
Further, the cited number C of the article in said step A-2 n The calculating method comprises the following steps: if the publication time of the paper is more than 2 years, the quoted number is equal to the actual quoted number of the paper; if the publication time of the paper is less than 2 years and the paper is published in the SCI journal, counting the influence factors of the journal in the publication time of the paper as the number of quoted papers; if the publication time is less than2 years and not published in SCI journal, the actual quoted number of the paper is counted as the quoted number.
Further, the method for calculating the influence T of the geographic analysis model developer in the step B-1 comprises the following steps: if the developer of the geographic analysis model is 1, counting the h-index of the student as T; if more than one developer exists, counting the h-indexes of all developers, and taking the highest h-index as T.
Further, the researcher factor is obtained based on the geographic analysis model knowledge network evaluation, and the specific method comprises the following steps: the method comprises the steps of taking a specific geographic analysis model as a research object, crawling relevant information such as thesis, scientific research institutions, researchers and research sites through the Internet, establishing a relevant knowledge network by using a knowledge graph technology, and counting the number of different types of nodes in the network to serve as various indexes for calculating factors of the researchers.
Furthermore, the geographical analysis model knowledge network takes a specific geographical analysis model as a main node, various knowledge information related to the geographical analysis model is abstracted into nodes of each level in the knowledge network, and the attachment relation between the nodes is represented by using connecting lines between the nodes.
According to the invention, for the geographic analysis model uploaded by the user, the comprehensive evaluation index of the influence factor is given by evaluating the research depth and the research breadth of the geographic analysis model and applying the calculation methods of the influence factors in different aspects. The invention evaluates the influence factors of the geographic analysis model from three aspects: (1) a citation factor; (2) investigator factors; and (3) social factors. And finally, weighting and summing the three influence factors to obtain a comprehensive influence factor evaluation index of the geographic analysis model.
The invention designs quantitative indexes for the influence factors of the geographic analysis model, reveals the depth and the breadth of the research of the geographic analysis model and provides a basis for the comparison of the geographic analysis model.
Has the advantages that: compared with the prior art, the invention has the following advantages:
1. the invention creatively provides a method for evaluating the influence factors of the geographic analysis model, evaluates the reference factors, the researcher factors and the social factors of the geographic analysis model by combining the depth and the breadth of model research to obtain the comprehensive influence factors, and can use the spider diagram to visually display the influence factors in all aspects. The method can be applied to an open geographic modeling and simulation website, and can be used for objectively evaluating the influence factors of the geographic analysis model by combining various indexes and evaluation methods, so that a user can conveniently and visually know and compare the influence factors of different geographic analysis models, and the user can efficiently and accurately find an authoritative and effective geographic analysis model to solve the problem of the user.
2. Because each index depended by the influence factor evaluation method already exists when the geographic analysis model is established, once the model is shared, each corresponding factor and comprehensive influence factor can be calculated by using the method applied by the invention, and the method has the characteristics of real-time property, objectivity, stability and the like.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
Detailed Description
The invention is further elucidated with reference to the drawings and the embodiments.
In this embodiment, the fvom model in the open geographic modeling and simulation website is selected as a research object, the website: http:// geomodular. Njnu. Edu. Cn/model item/5738ef7c-a5ac-46b5-a347-3c823f71b3a 7. The geographic analysis model influence factor evaluation method provided by the invention is used for evaluating the influence factor of the model, and as shown in fig. 1, the specific steps are as follows:
step 1: calculating the FVOM geographic analysis model reference factor A factor The specific method comprises the following steps:
1-1) paper space P statistically referencing the geographic analysis model n ；
1-2) the number of quotes C of the paper that quotes the model n The statistical method comprises the following steps: if the publication time of the paper is more than 2 years, the quoted number is equal to the actual quoted number of the paper; if the publication time of the paper is less than 2 years and the paper is published in SCI journal, the influence factor of the journal in the publication time of the paper is counted asNumber of citations of the paper; if the publication time of the paper is less than 2 years and the paper is not published in the SCI journal, counting the actual quoted number of the paper as the quoted number of the paper;
1-3) calculating a reference factor C of the geographic analysis model factor ：
C factor ＝w c1 ×P n +w c2 ×C n
Wherein the index P n Reflecting the breadth of the model study, index C n Reflecting the depth of the model study; w is a c1 、w c2 Is a weight value assigned to each index of a geographic analysis model reference factor, and w c1 +w c2 ＝1。
Step 2: calculating FVCOM geographic analysis model researcher factor R factor The influence factor is obtained based on the geographic analysis model knowledge network evaluation, and the specific method comprises the following steps: taking a specific geographic analysis model as a research object, retrieving relevant information such as thesis, scientific research institutions, researchers and research sites, and establishing a relevant knowledge network by using a knowledge map technology; and abstracting various knowledge information related to the specific geographic analysis model into nodes of each level in a knowledge network by taking the specific geographic analysis model as a main node, and representing the attachment relation among the nodes by using connecting lines among the nodes. The number of different types of nodes in the network is counted as each index for calculating the researcher factor. Investigator factor R factor The specific calculation method comprises the following steps:
2-1) calculating an influence factor T of the geographic analysis model developer, wherein the calculation method comprises the following steps: if the developer of the geographic analysis model is 1, counting the h-index of the student as T; if the developers have more than one person, counting the h-indexes of all the developers, and taking the highest h-index as T;
2-2) calculating the influence factor O of other researchers applying or improving the geographic analysis model, wherein the value of the index is equal to the number of the researchers except the developer;
2-3) counting the number A of geographic areas studied by the user of the geographic analysis model using the model n ；
2-4)Counting the number I of organizations affiliated by researchers related to the geographic analysis model n ；
2-5) calculating researcher factor R of the geographic analysis model factor ：
R factor ＝w r1 ×T+w r2 ×O+w r3 ×A n +w r4 ×I n
Wherein, the index T reflects the depth of model research, and the index O, A n 、I n Reflecting the breadth of the model study; w is a r1 、w r2 、w r3 、w r4 Is a weight value assigned to each index of a researcher factor of the geographic analysis model, and w r1 +w r2 +w r3 +w r4 ＝1。
And step 3: calculating social factor S of FVCOM geographic analysis model factor The specific calculation method comprises the following steps:
3-1) counting the viewing volume V of FVCOM on open geographic modeling and simulation websites and social websites n ；
3-2) statistical open geographic modeling and simulation website and source code sharing website FVCOM downloading amount D of source codes n ；
3-3) counting the number K of times of calling the online service of the geographic analysis model on the open geographic modeling and simulation website n ；
3-4) calculating the average score M of the model score after the FVCOM is called by the user in the open geographic modeling and simulation website;
3-5) calculating the social factor S of the geographic analysis model factor ：
S factor ＝w s1 ×V n +w s2 ×D n +w s3 ×K n +w s4 ×M
Wherein, V n 、D n 、K n All the four indexes of M reflect the breadth of model research; w is a s1 、w s2 、w s3 、w s4 Is a weight value assigned to each index of the social factors of the geographic analysis model, and w s1 +w s2 +w s3 +w s4 ＝1。
And 4, step 4: and carrying out weighted summation on each influence factor obtained by evaluation, and calculating a comprehensive influence factor index of the geographic analysis model, wherein the calculation process is as follows:
G factor ＝w C ×C factor +w R ×R factor +w S ×S factor
wherein, w C 、w R 、w S Reference factors C for the respective geographic analysis model factor Investigator factor R factor Social factor S factor Weight value occupied in the geographical analysis model comprehensive influence factor, and w C +w R +w S ＝1。
And 5: and (4) configuring the weight value in the step (4) by using an expert scoring method, wherein the specific process is as follows:
5-1) making a table containing various indexes needing to be configured with weight values, dividing the indexes with the weight values added to be equal to 1 into a group, dividing the group into 4 groups, and labeling specific meanings of the indexes and grouping bases of the groups;
5-2) inviting relevant experts in the field of geographic modeling and simulation to grade the indexes according to the importance of each index and a grading rule with the full score of 10;
5-3) after obtaining a large number of expert scores, counting the total score Y of each single index x (x∈[1，n]N is the number of terms of the index), and the total score Z of each group is calculated respectively j (j＝1,2,3,4)。
5-4) calculating the weight value of each index, specifically as follows:
wherein x belongs to [1,n ] and x is a positive integer, and n is the number of terms of the index; since the indices were divided into 4 groups, j =1,2,3,4.
Step 6: after obtaining the weight value, inputting each expression to obtain a quantized FVCOM comprehensive influence factor G factor 。
Through the above embodiments, those skilled in the art can clearly understand the implementation method of each step to calculate the influence factors of different geographic analysis models, and enhance the understanding and comprehension of the geographic analysis models by the academic world and the public, so as to provide a basis for comparison of the geographic analysis models.
Claims (6)
1. A method for evaluating influence factors of a geographic analysis model is characterized by comprising the following steps: the method comprises the following steps:
s1: index statistics is carried out on the FVOM geographic analysis model, and reference factors C for evaluating the FVOM geographic analysis model are respectively calculated factor Investigator factor R factor And social factor S factor ；
S2: calculating and evaluating the obtained reference factor C factor Investigator factor R factor Social factor S factor And performing weighted summation to calculate a comprehensive influence factor of the geographic analysis model, wherein the specific calculation process is as follows:
G factor ＝w C ×C factor +w R ×R factor +w S ×S factor
wherein, w C 、w R 、w S Reference factors C for the respective geographic analysis model factor Investigator factor R factor Social factor S factor Weight value occupied in the geographical analysis model comprehensive influence factor, and w C +w R +w s ＝1；
Reference factor C of the FVOM geographic analysis model factor The calculation method comprises the following steps:
a-1) statistical reference to the paper space P of the geographical analysis model n ；
A-2) the number of quotes C of papers that quote the geographical analysis model statistically n ；
A-3) calculating a reference factor C of the geographic analysis model factor ：
C factor ＝w c1 ×P n +w c2 ×C n
Wherein the index P n Indicates the extent of model study, index C n Representing the depth of the model study;w c1 、w c2 is a weight value assigned to each index of a geographic analysis model reference factor, and w c1 +w c2 ＝1；
Researcher factor R of the FVOM geographic analysis model factor The calculation method comprises the following steps:
b-1) calculating the influence T of the geographic analysis model developer;
b-2) calculating the influence O of other researchers applying or improving the geographic analysis model, wherein the value of the influence O is equal to the number of the researchers except the developer;
b-3) number A of geographic areas studied by a user of a statistical geographic analysis model using this model n ；
B-4) counting the number of organizations I affiliated by researchers related to the geographic analysis model n ；
B-5) calculating the researcher factor R of the geographic analysis model factor ：
R factor ＝w r1 ×T+w r2 ×O+w r3 ×A n +w r4 ×I n
Wherein, the index T reflects the depth of model research, and the index O, A n 、I n Reflecting the breadth of the model study; w is a r1 、w r2 、w r3 、w r4 Is a weight value assigned to each index of a researcher factor of the geographic analysis model, and w r1 +w r2 +w r3 +w r4 ＝1；
Social factor S of the FVOM geographic analysis model factor The calculation method comprises the following steps:
c-1) viewing volume V of statistical geographic analysis model n ；
C-2) statistical download quantity D of geographic analysis model source codes n ；
C-3) counting the number of times K of calling online services of the geographic analysis model n ；
C-4) calculating an average score M of the model after the user calls the geographic analysis model;
c-5) calculating social factor S of geographic analysis model factor ：
S factor ＝w s1 ×V n +w s2 ×D n +w s3 ×K n +w s4 ×M
Wherein, V n 、D n 、K n All the four indexes of M reflect the breadth of model research; w is a s1 、w s2 、w s3 、w s4 Is a weight value assigned to each index of the social factors of the geographic analysis model, and w s1 +w s2 +w s3 +w s4 ＝1。
2. The method of claim 1, wherein the method comprises the following steps: the weighted value in the step S2 is configured by adopting an expert scoring method, and the specific process is as follows:
s2-1: making a table containing various indexes needing to be configured with weight values, dividing the indexes with the weight values added equal to 1 into a group, dividing the group into N groups, and labeling specific meanings of the indexes and grouping bases of the groups;
s2-2: inviting relevant experts in the fields of geographic modeling and simulation to grade the indexes within a specified grading range according to the importance of the indexes;
s2-3: after obtaining a large number of expert scores, counting the total score Y of each single index x And respectively calculating the total score Z of each group j ；
S2-4: calculating the weight values of the indexes, specifically as follows:
wherein x belongs to [1,n ] and x is a positive integer, and n is the number of terms of the index; since the indices are divided into N groups, j =1,2,3, … … N.
3. The method of claim 1, wherein the method comprises the following steps: cited number C of the article in said step A-2 n The calculation method comprises the following steps: time of publicationIf the number of quoted articles is more than 2 years, the number of quoted articles is equal to the actual quoted number of the article; if the publication time of the paper is less than 2 years and the paper is published in the SCI journal, counting the influence factors of the journal in the publication time of the paper as the number of quoted papers; if the publication time of the paper is less than 2 years and the paper is not published in the SCI journal, the actual quoted number of the paper is counted as the quoted number of the paper.
4. The method of claim 1, wherein the method comprises the following steps: the calculation method of the influence T of the geographic analysis model developer in the step B-1 comprises the following steps: if the developer of the geographic analysis model is 1 person, counting the h-index of the learner as T; if more than one developer exists, counting the h-indexes of all developers, and taking the highest h-index as T.
5. The method of claim 1, wherein the geographic analysis model impact factor is evaluated by: the researcher factor is obtained based on the geographic analysis model knowledge network evaluation, and the specific method comprises the following steps: the method comprises the steps of using a geographic analysis model as a research object, crawling relevant information through the Internet, establishing a relevant knowledge network by using a knowledge graph technology, and counting the number of different types of nodes in the network to serve as various indexes for calculating a researcher factor.
6. The method of claim 5, wherein the geographic analysis model impact factor is selected from the group consisting of: the geographical analysis model knowledge network takes a geographical analysis model as a main node, various knowledge information related to the geographical analysis model is abstracted into nodes of all levels in the knowledge network, and the attachment relation between the nodes is represented by using connecting lines between the nodes.
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