CN109614502A - A method of R&D institution's influence power is assessed based on academic big data - Google Patents
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- CN109614502A CN109614502A CN201811414500.4A CN201811414500A CN109614502A CN 109614502 A CN109614502 A CN 109614502A CN 201811414500 A CN201811414500 A CN 201811414500A CN 109614502 A CN109614502 A CN 109614502A
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Abstract
The invention discloses a kind of methods assessed based on academic big data R&D institution's influence power, the reference data of all R&D institutions involved in main paper data and paper using in academic paper database and paper, that establishes dependence R&D institution draws directed networks altogether, with the importance of paper drawn weight altogether and measure paper, and the academic for the R&D institution studied using the method quantitative assessment of R&D institution's signature location information building weighting coefficient function.The present invention establishes directed networks according to academic paper reference data, the influence value of each unit is calculated for the method that the paper of multiple unit cooperations uses weighting coefficient, the academic of each R&D institution is scientificlly and effectively evaluated, to provide a kind of effective and reasonable R&D institution's academic evaluation method.
Description
Technical field
The present invention relates to technical field of data processing, and in particular to based on academic big data to scientific research in sphere of learning
In the case of the method more particularly to scientific research that unit influence power is assessed are collaborateed, a kind of section based on weighting coefficient directed networks
Grind the evaluation method of unit academic.
Background technique
Today's society, R&D institution are the important participants of scientific research, have made major contribution for academic research.However
There is the different capacities of scientific research in different R&D institutions, and the scientific research level of R&D institution reflects the academic shadow an of R&D institution
Ring power.The quantized result of academic provides important for the examination & approval of state research project, the attraction of the talent, ranking of mechanism etc.
Foundation.
Furthermore with the complexity of social concern, cooperate between R&D institution it is more and more common, between R&D institution cooperation become
To day-to-day, the assignment problem of scientific achievement is just more and more obvious.Currently, existing science allocation algorithm is mainly according to being drawn
The frequency measures paper importance, and mean allocation article is worth to collaborateing main body.However whether an article is quoted by many
Factor influences, while the method for salary distribution divided equally used, reasonability still remain to be discussed.
Summary of the invention
In view of the deficiencies of the prior art, the present invention is intended to provide it is a kind of based on academic big data to R&D institution's influence power
The method assessed draws directed networks between building paper, with being total to for paper by network structure and R&D institution's information altogether
Draw the times cited that weight replaces paper, the significance level for measuring paper is gone from R&D institution's angle, while considering R&D institution
Signature order factor in paper carries out accurate evaluation to R&D institution's academic in the case of collaboration.
To achieve the goals above, The technical solution adopted by the invention is as follows:
A method of R&D institution's influence power is assessed based on academic big data, is included the following steps:
S1, acquisition R&D institution's all academic papers delivered and its data being cited to be studied, remember to be studied
R&D institution is Ii；
S2, the data collected in step S1 are set up according to adduction relationship and are drawn data set P={ p1,p2,...,pm}、
It applies and draws data set C={ c1,c2,...,clAnd directed networks；Drawn data set and is owned for what R&D institution to be studied delivered
The set of academic paper, applies that draw data set be at least one set for applying introduction text referred to by argument according to concentration, oriented
Comprising being drawn data set, applying the relationship drawing data set and reference between the two and being cited in network；
S3, to being drawn data set P={ p1,p2,...,pmIn each paper proceed as follows:
S3.1, note pjIn have a signature mechanism, signing includes R&D institution I to be studied in mechanismi, j=1,2 ...,
m；From C={ c1,c2,...,clFind out reference paper pjApply introduction collected works close Cj={ c1,c2,...,cb, and from P={ p1,
p2,...,pmIn filter out by introduction collected works close Dj={ d1,...,dc}；DjIn include paper and meanwhile meet two conditions: the
First is that at least with paper pjThere is an identical signature mechanism, second is simultaneously by CjAt least one of apply introduction text reference；
S3.2, R&D institution I to be studied is calculated according to the following formulaiIn DjThe contribution rate in h papers in setWith R&D institution I to be studiediIn DjIt is affixed one's name in the signature sequence r and h papers in h papers in set
The total k of name mechanism is related:
S3.3, D is calculatedjH papers in set are aggregated CjIn paper reference number wj,h；
S3.4, R&D institution I to be studied is calculated as followsiFrom paper pjThe scientific research contribution amount of middle acquisition
R&D institution I to be studied will be obtained after the completion of S4, step S3iThe scientific research contribution obtained in m different papers
AmountIt is made into accumulation calculating as the following formula, obtains R&D institution I to be studiediScientific research influence power
Further, when the scientific research influence power to the R&D institution to be required study while when calculating, in step S1
All academic papers that all academic papers and its data being cited are delivered for the R&D institution that is required study and
Its data being cited, all academic papers delivered by the R&D institution that data set is required study by finger is drawn in step S2
Set, for each paper p in step S3j, while calculating paper pjSignature mechanism in include the section to be required study
Unit is ground from paper pjThe scientific research contribution amount of middle acquisition
Further, when the scientific research influence power to the R&D institution to be required study is respectively calculated, in step S1
All academic papers and its data being cited are delivered all for the targeted R&D institution to be studied of this time calculating
Academic paper and its data being cited, the data set that drawn in step S2 is the scientific research to be studied for referring to that this time calculating is targeted
The set for all academic papers that unit is delivered.
The beneficial effects of the present invention are: the present invention is based on weighting coefficient directed networks to comment R&D institution's influence power
Estimate, by network structure and R&D institution's information, draw directed networks altogether between building paper, replaces opinion with the weight of drawing altogether of paper
The times cited of text goes the significance level for measuring paper from R&D institution's angle, while considering administration of the R&D institution in paper
Name order factor carries out accurate evaluation to R&D institution's academic in the case of collaboration.
Detailed description of the invention
Fig. 1 is the General Implementing flow diagram of the embodiment of the present invention 2；
Fig. 2 is that physics periodical APS data set is utilized in the embodiment of the present invention 3, using random edged p1Addition noise
Method to R&D institution's academic discriminating power result figure；
Fig. 3 is that physics periodical APS data set is utilized in the embodiment of the present invention 3, using random cut edge reconnection p2Addition
The method of noise is to R&D institution's academic discriminating power result figure.
Specific embodiment
Below with reference to attached drawing, the invention will be further described, it should be noted that the present embodiment is with this technology side
Premised on case, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to this reality
Apply example.
Embodiment 1
A method of R&D institution's influence power is assessed based on academic big data, is included the following steps:
S1, acquisition R&D institution's all academic papers delivered and its data being cited to be studied, remember to be studied
R&D institution is Ii；
S2, the data collected in step S1 are set up according to adduction relationship and are drawn data set P={ p1,p2,...,pm}、
It applies and draws data set C={ c1,c2,...,clAnd directed networks；Drawn data set and is owned for what R&D institution to be studied delivered
The set of academic paper, applies that draw data set be at least one set for applying introduction text referred to by argument according to concentration, oriented
Comprising being drawn data set, applying the relationship drawing data set and reference between the two and being cited in network；
S3, from being drawn data set P={ p1,p2,...,pmOne paper of middle selection, it is denoted as pj；
S4, note pjIn have a signature mechanism, including R&D institution I to be studiedi；From C={ c1,c2,...,clFind out and draw
With paper pjApply introduction collected works close Cj={ c1,c2,...,cb, and from P={ p1,p2,...,pmIn filter out by introduction collected works
Close Dj={ d1,...,dc}；DjIn include paper and meanwhile meet two conditions: first be at least with paper pjHave one it is identical
Mechanism is signed, second is simultaneously by CjAt least one of apply introduction text reference；
S5, R&D institution I to be studied is calculated according to the following formulaiIn DjThe contribution rate in h papers in set With R&D institution I to be studiediIn DjMechanism is signed in the signature sequence r and h papers in h papers in set
Total k it is related:
S6, D is calculatedjH papers in set are aggregated CjIn paper reference number wj,h(i.e. set CjIn have it is more
Few piece paper refers to DjH papers in set)；
S7, R&D institution I to be studied is calculated as followsiFrom paper pjThe scientific research contribution amount of middle acquisition
It is also right in the present embodimentIt is standardized:
The method that standardization uses is shown below,Value after standardization is For h papers
In all R&D institutionsSummation；
S8, to P={ p1,p2,...,pmIn all paper carry out the processing of step S4-S7, obtain scientific research to be studied
Unit IiThe scientific research contribution amount obtained in m different papers, then makees accumulation calculating as the following formula, obtains scientific research to be studied
Unit IiScientific research influence power
To the R&D institution to be required study simultaneously or separately according to the method for above-mentioned steps S1-S8, institute can be obtained
There is the value of the scientific research influence power of R&D institution and carries out ranking.
Embodiment 2
As shown in Figure 1, a kind of commenting R&D institution's influence power based on academic big data provided by the present embodiment
The method estimated is to calculate simultaneously the value of the scientific research influence power of the R&D institution to be required study, includes the following steps:
One, R&D institution's all academic papers delivered and its data being cited to be studied, section to be studied are acquired
Grinding unit includes I1、I2、I3、I4；
Two, the data collected in step 1 are set up according to adduction relationship and is drawn data set, applies and draw data set, and established
Directed networks.In the present embodiment, being drawn data set is P={ p1,p2,p3,p4, it applies and draws data set for C={ c1,c2,c3,c4,
c5, shown in the left side first box such as Fig. 1 for the directed networks established.
Three, paper p is selected according to concentration from by argument1；
Four, paper p1In signature mechanism include R&D institution I to be studied1And I2.From C={ c1,c2,c3,c4,c5In
Find out reference paper p1Apply introduction collected works close C1={ c1,c3, after filter out by introduction collected works close D1={ d1,d2,d3,d4, such as
Shown in Fig. 1.
Five, R&D institution I to be studied is calculated1And I2In D1Contribution rate in each piece paper of setThis and R&D institution I to be studied1And I2In D1
Signature position in each piece paper of set is related.
The calculating process of each contribution rate are as follows:
Similarly obtain
In the present embodiment, for ease of calculation, by R&D institution I to be studied1And I2In D1In each piece paper of set
Contribution rate To contribute allocation matrix A1Form table
Show:
Six, D is calculated1The reference amount w of h papers in set1,h, it is defined as D1H papers in set are aggregated
C1In paper reference number, i.e. set C1In how many paper refer to D1H papers in set.
In the present embodiment, paper p1By paper c1And c3Reference, therefore paper p1Draw weight w altogether with itself1,1=2；
Paper p2Only by paper c1Reference, therefore paper p2With paper p1Draw weight w altogether1,2=1.Similarly, available paper p3And opinion
Literary p1Draw altogether weight be 2, paper p4With paper p1Draw altogether weight be 1.In the present embodiment, using drawing weight matrix w altogether1
It indicates:
w1=[2,1,2,1].
Seven, to set D1In each paper calculateWithHerein
Using scientific research influence power matrix M1It indicates:
It is obtained after being standardized
Eight, according to the method for step 4-seven, aforesaid operations are carried out to each paper in P, obtaining scientific research influences torque
Battle array M2、M3、M4:
The scientific research influence power matrix M that will be calculated1、M2、M3、M4It is added, available scientific research contribution collection M=[I1,
I2,I3,I4]=[0.36,1.73,0.55,1.36].
Nine, it contributes collection M to arrange in descending order scientific research, obtains the ranking vector R=[I of R&D institution to be studied2,I4,I3,
I1]。
It should be noted that the present embodiment method is to calculate the scientific research influence power of each R&D institution to be studied simultaneously,
But each R&D institution to be studied individually can also be calculated according to the method for step 1 to eight respectively, final basis
Calculated result carries out ranking.
Embodiment 3
The present embodiment passes through the performance of experimental verification the method for the present invention.
The adduction relationship and the corresponding R&D institution's information of every paper of paper are extracted, from APS data set with this shape
At paper citation network.
Wherein, the data selected in the present embodiment in APS data set from 1893 to 2009 year, screening are contained
18987 mechanisms, 443217 articles, 4710547 reference records.
It is tested by Kendall's coefficient curve to effect of the method for the present invention in data set, by original quotation
Man made noise's data (random edged p is added in data set1With random cut edge reconnection p2), scientific research list is obtained by the method for embodiment 1
Position academic score carries out the sequence of influence power size to R&D institution, by learning with the R&D institution not plus before noise data
The coincidence degree of art influence power ranking result evaluates the method for the present invention result.The result of APS data set respectively such as Fig. 2 and
Shown in Fig. 3, as seen from the figure, in the experiment for carrying out random edged and random cut edge reconnection, the method for the present embodiment proposition
In p1、p2When taking different value, Kendall's coefficient value is above the algorithm that TC algorithm and Shen Huawei are proposed.
For those skilled in the art, it can be made various corresponding according to above technical solution and design
Change and modification, and all these change and modification should be construed as being included within the scope of protection of the claims of the present invention.
Claims (3)
1. a kind of method assessed based on academic big data R&D institution's influence power, which is characterized in that including walking as follows
It is rapid:
S1, acquisition R&D institution's all academic papers delivered and its data being cited to be studied, remember scientific research to be studied
Unit is Ii；
S2, the data collected in step S1 are set up according to adduction relationship and are drawn data set P={ p1,p2,...,pm, Shi Yin
Data set C={ c1,c2,...,clAnd directed networks；Being drawn data set is all science that R&D institution to be studied delivers
The set of paper, applies that draw data set be at least one set for applying introduction text referred to by argument according to concentration, directed networks
In comprising being drawn data set, applying the relationship drawing data set and reference between the two and being cited；
S3, to being drawn data set P={ p1,p2,...,pmIn each paper proceed as follows:
S3.1, note pjIn have a signature mechanism, signing includes R&D institution I to be studied in mechanismi, j=1,2 ..., m；From C
={ c1,c2,...,clFind out reference paper pjApply introduction collected works close Cj={ c1,c2,...,cb, and from P={ p1,
p2,...,pmIn filter out by introduction collected works close Dj={ d1,...,dc}；DjIn include paper and meanwhile meet two conditions: the
First is that at least with paper pjThere is an identical signature mechanism, second is simultaneously by CjAt least one of apply introduction text reference；
S3.2, R&D institution I to be studied is calculated according to the following formulaiIn DjThe contribution rate in h papers in set
With R&D institution I to be studiediIn DjThe total of mechanism is signed in the signature sequence r and h papers in h papers in set
Number k is related:
S3.3, D is calculatedjH papers in set are aggregated CjIn paper reference number wj,h；
S3.4, R&D institution I to be studied is calculated as followsiFrom paper pjThe scientific research contribution amount of middle acquisition
R&D institution I to be studied will be obtained after the completion of S4, step S3iThe scientific research contribution amount obtained in m different papersIt is made into accumulation calculating as the following formula, obtains R&D institution I to be studiediScientific research influence power
2. the method according to claim 1, wherein when the scientific research influence power to the R&D institution to be required study
Simultaneously when being calculated, all academic papers described in step S1 and its data being cited are the R&D institution that is required study
All academic papers delivered and its data being cited, the scientific research to be required study by data set is drawn by finger in step S2
The set for all academic papers that unit is delivered, for each paper p in step S3j, while calculating paper pjSignature mechanism
In include the R&D institution to be required study from paper pjThe scientific research contribution amount of middle acquisition
3. the method according to claim 1, wherein when the scientific research influence power to the R&D institution to be required study
When being respectively calculated, all academic papers described in step S1 and its data being cited are that this time calculating is targeted wait grind
All academic papers and its data being cited that the R&D institution studied carefully delivers are drawn data set to refer to the secondary meter in step S2
The set for all academic papers that targeted R&D institution to be studied delivers.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831905A (en) * | 2020-06-19 | 2020-10-27 | 中国科学院计算机网络信息中心 | Recommendation method and device based on team scientific research influence and sustainability modeling |
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| CN106778011A (en) * | 2016-12-29 | 2017-05-31 | 大连理工大学 | A kind of scholar's influence power appraisal procedure based on academic heterogeneous network |
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2018
- 2018-11-26 CN CN201811414500.4A patent/CN109614502A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106650276A (en) * | 2016-12-29 | 2017-05-10 | 大连理工大学 | Scholar impact evaluation method based on academic big data |
| CN106778011A (en) * | 2016-12-29 | 2017-05-31 | 大连理工大学 | A kind of scholar's influence power appraisal procedure based on academic heterogeneous network |
Non-Patent Citations (2)
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| 崔景洋: "一种基于PageRank和时间衰退因子的作者影响力评价方法", 《廊坊师范学院学报（自然科学版）》 * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831905A (en) * | 2020-06-19 | 2020-10-27 | 中国科学院计算机网络信息中心 | Recommendation method and device based on team scientific research influence and sustainability modeling |
| CN111831905B (en) * | 2020-06-19 | 2023-06-06 | 中国科学院计算机网络信息中心 | Recommendation method and device based on team scientific research influence and sustainability modeling |
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Application publication date: 20190412 |