A B C DD WCD Cluster U.S U.S 278 U.S 286.00 1 China China 168 China 179.00 2 South Korea South Korea 82 South Korea 84.00 1 Canada Canada 59 Canada 60.00 1 Taiwan Taiwan 51 Taiwan 53.00 1 Germany Germany 42 U.K 45.00 2 U.K U.K 38 Germany 43.00 2 Australia Australia 31 Australia 42.00 2 Spain Spain 24.00106 Spain 25.00 3 Netherlands Netherlands 21 Netherlands 21.00 4 Japan Japan 19 Japan 20.00 5 France France 18 France 18.00 6 Switzerland Switzerland 14 Switzerland 14.00 7 Sweden Sweden 12 Sweden 12.00 8 Finland Finland 9.00000 Italy 11.00 7 Italy Italy 9.00000 Finland 9.00 9 Australia U.K 5 Singapore 7.00 10 Singapore Singapore 5.00000 Hong Kong 6.00 2 Belgium Belgium 4 Belgium 5.00 3 Hong Kong Hong Kong 4.00000 India 5.00 10 China U.S 3.00000 New Zealand 2.00 2 Australia China 3.00000 Esteban, Cristobal 0.00 3 Australia Hong Kong 2 India India 2.00000 China Hong Kong 2.00000 South Korea U.S 2.00000 India Singapore 2.00000 China New Zealand 1.00000 Italy Switzerland 1.00000 Italy Japan 1.00000 India U.S 1 China U.K 1.00000 Taiwan U.S 1.00000 New Zealand New Zealand 1.00000 Canada U.S 1.00000 China Taiwan 1.00000 Belgium Spain 1.00000 Germany U.K 1.00000
Select option: This one you selected:Authorcorrence9C optgroup> A.Rasch model Rasch model_ICC>1.Rasch model_ICC1.Rasch model_ICC Rasch model_WrightMap>2.Rasch model_WrightMap2.Rasch model_WrightMap Rasch model MML model>3.Rasch MML model3.Rasch MML model 2PLIRT>4.2PLIRT4.2PLIRT Rasch DIF>5.Rasch DIF 5.Rasch DIF IRTLord DIF>6.IRTLord DIF 6.IRTLord DIF RaschAndersenLRTest>7.AndersenLRTest 7.AndersenLRTest Rasch ML>8.Rasch ML 8.Rasch ML Rasch MAPEAP>9.Rasch MAPEAP 9.Rasch MAPEAP RaschAdersonLRtest>10.RaschAdersonLRtest 10.RaschAdersonLRtest RaschAdersonLR>11.RaschAdersonLR 11.RaschAdersonLR RaschRSMICC>12.RaschRSMWrightMap 12.RaschRSMWrightMap Raschprepost2GLPCM>13.Raschprepost2GLPCM13.Raschprepost2GLPCM /optgroup> optgroup> B.Biliometrics ChordDiagram>14.ChordDiagram 14.ChordDiagram ChordDiagramA>14B. From chorddiagram to cluster Network14B. From chorddiagram to cluster Network Circlebarplot>15.Circlebarplot 15.Circlebarplot Circlepacking>34.Circle Packing 34.Circle Packing Barchart>341.Bar Chart341.Bar Chart Boxplot>34A.Box plot34A.Box plot Venndiagramthen>161.Venn Diagramthen161.Venn Diagramthen Venndiagramthen2>162.Venn Diagramthen2162.Venn Diagramthen2 Lollipopchart>342.Lollipop Chart342.Lollipop Chart Lollipopchart2>343.Lollipop with terms343.Lollipop with terms Sankey >37.Sankey 37.Sankey Sankey2 >38.Sankey238.Sankey2 SNA22 >39. Network diagram 39. Network diagram SNA221 >40. Via pajek to Network40. Via pajek to Network SNAsimple>46. Via metrix to Network46. Via metrix to Network SNAsimple2 >47. Network dendro2 47. Network dendro2 SNAsimple3 >48. Clusters by dendrogram48. Clusters by dendrogram CircularDendrogram >50. Circular Dendrogram50. Circular Dendrogram Heatmap33 >51. Heatmap3351. Heatmap33 Heatdendrogram >52. Heatmap34(dendrogram)52. Heatmap34(dendrogram) Euclidean3 >410. Euclidean dendrogram0410. Euclidean dendrogram0 Euclidean >41. Euclidean dendrogram41. Euclidean dendrogram Euclidean2 >49. Euclidean dendrogram249. Euclidean dendrogram2 /optgroup> optgroup> C.MetaAnlysis MetaSMD>16.MetaSMD 16.MetaSMD MetaRR>17.MetaRR 17.MetaRR MetaOR>18.MetaOR18.MetaOR MAcorrel>35.Meta correlation35.Meta correlation MetaFunnel>19.MetaFunne 19.MetaFunne NetworkMeta>20.NetworkMa plot(Event)20.NetworkMa plot(Event) NetworkMeta4>21.NetworkMA FixForest(Event)21.NetworkMA FixForest(Event) NetworkMeta5>22.NetworkMA RadomForest(Event)22.NetworkMA RadomForest(Event) NetworkMeta2>23.Network Meta2(Event)23.Network Meta2(Event) NetworkMeta3>24.Network Meta3(MeanSD)24.Network Meta3(MeanSD) /optgroup> optgroup> D.Biliometrixs bibliometrix1>BX1.Descriptive analyticsBX1.Descriptive analytics co-citation2>BX2.Co-citation(Article (References))BX2.Co-citation(Article (References)) co-citation3>BX3.Co-citation(Journal (Source))BX3.Co-citation(Journal (Source)) co-citation4>BX4.Historiograph - Direct citation linkagesBX4.Historiograph - Direct citation linkages co-citation5>BX5.Co-word via keywordBX5.Co-word via keyword co-citation6>BX6.Co-word via CorresponceBX6.Co-word via Corresponce co-citation7>BX7.Thematic MapBX7.Thematic Map co-citation8>BX8.Author collaborationBX8.Author collaboration co-citation9>BX8.Unit collaborationBX8.Unit collaboration co-citation10>BX9.Country collaborationBX9.Country collaboration co-citation11>BX10.Keyword Co-wordBX10.Keyword Co-word co-citation12>BX11.Lotka LawBX11.Lotka Law co-citation13>BX12.Top-Authors annuallyBX12.Top-Authors annually co-citation14>BX13.CouplingBX13.Coupling /optgroup> optgroup> E.General graph gallery Pyramid>25.Pyramid25.Pyramid Pyramid2>41.Pyramid241.Pyramid2 Pyramid22>42.Pyramid342.Pyramid3 Survial >26.Survial26.Survial TwomodeRelation>27.Two mode Relation27.Two mode Relation TwomodeRadar>28.Radar Plot28.Radar Plot bibarlinechart>29.Bibar line chart29.Bibar line chart bStackbar>30.Stack Bar chart30.Stack Bar chart Multilinechartr>31.Multi-Line chart31.Multi-Line chart Multilinebar>32.Multi-Line Bar Chart32.Multi-Line Bar Chart Multilinebar2>33.Multi-Line Bar2 Chart33.Multi-Line Bar2 Chart Wordcloud>36.Wordcloud36.Wordcloud Wordcloud2>43.Wordcloud243.Wordcloud2 Spiderplot>44.Spider plot44.Spider plot Twowayanova>45.Plot for Two Way Anova45.Plot for Two Way Anova /optgroup> optgroup> F.Rstatistics Rcourse1>101.RS1.Rstatistics101.RS1.Rstatistics effectsize>102.Compute effect size102.Compute effect size /optgroup> optgroup> G.Pajek software & Google Maps bibliometricschien>Chien. Biliometrics in Pubmed Chien. Biliometrics in Pubmed bibliometricschien2>Guideline in Visualizations Guideline in Visualizations TNASNA>EG2 Social network analysis(MP4) EG2 Social network analysis(MP4) Simplematrix2>EG31 matrix to Network to REG31 matrix to Network to R Simplematrix>EG32 Transforming matrix to #59AEG32 Transforming matrix to #59A MAuthorcorrence>Start[here]. 2-column(couple) dataStart[here]. 2-column(couple) data MAuthorcorrence2>Start[here]2. 2-column(couple) Excluding ego-self Start[here]2. 2-column(couple) Excluding ego-self Authorcorrence7A>60A7A.D1:3-column to 6-column data60A7A.D1:3-column to 6-column data Authorcorrence9A>60A7B.D1:3 to 4 for Network in SNA60A7B.D1:3 to 4 for Network in SNA Authorcorrence9C>60A7C.D1:6 to 4 for Network in SNA60A7C.D1:6 to 4 for Network in SNA Network7A12>60A7B1.D1:4 to Network for SNA60A7B1.D1:4 to Network for SNA probleminSNA2>Hit:Notice of the Google MapsHit:Notice of the Google Maps SNA221 >40. D1: Network chart(example)40. D1: Network chart(example) SNA221A>40A.D1: To gain Pajek format(.paj)40A.D1: To gain Pajek format(.paj) probleminSNA>Hit: Drawbacks above(many link, no cluster)Hit: Drawbacks above(many link, no cluster) AuthorcorrenceA>59 D2:Random cluster with size #46 59 D2:Random cluster with size #46 AuthorcorrenceB>59A D2:Enhancement: cluster then to #46 59A D2:Enhancement: cluster then to #46 Authorcorrence2>59B D2: No cluster to #14 Chord 59B D2: No cluster to #14 Chord SNA221A1>60A1 D2: Cluster to #14 Chord 60A1 D2: Cluster to #14 Chord Authorcorrence3>60A3 D2:*Chord(cluster & few links) to #14 60A3 D2:*Chord(cluster & few links) to #14 Authorcorrence31>60A31.D3:*Dendrogram to #47 60A31.D3:*Dendrogram to #47 Authorcorrence4>60A4.*CircleBar. to #15 CircleBar 60A4.*CircleBar. to #15 CircleBar Authorcorrence5>60A5.*CirclePacking. to #34 CirclePacking 60A5.*CirclePacking. to #34 CirclePacking Authorcorrence6>60A6.D4:*HeatDendro. to #52 HeatDendro60A6.D4:*HeatDendro. to #52 HeatDendro Authorcorrence32>60A7.D55:*Network: next to #4660A7.D55:*Network: next to #46 Authorcorrence7>60A7.D5:*Network: next to #40A60A7.D5:*Network: next to #40A SNA221A>Hit: To Pajek by 60A7 then to 40AHit: To Pajek by 60A7 then to 40A Authorcorrence9>Hit: Coordinate in Pajek & Google MapsHit: Coordinate in Pajek & Google Maps Googlemap>60A9.D6:Google Maps(Pajek in 40A)60A9.D6:Google Maps(Pajek in 40A) Authorcorrence8>60A8: *Details about cluster process60A8: *Details about cluster process Authorcorrence88>60A88: *Details without self connections60A88: *Details without self connections Authorcorrence7A>60A7A.D5:Data from 60A8 to pajek for Google Maps60A7A.D5:Data from 60A8 to pajek for Google Maps Network7A1>60AA2.D5:nodes & relations in Network60AA2.D5:nodes & relations in Network Network7A12>60AA3.D5:nodes & relations Group in Network Group Network蝬脰楝60AA3.D5:nodes & relations Group in Network Group Network蝬脰楝 Authorcorrence7A1>60AA1.D5:3-column data to Pajek for Google Maps60AA1.D5:3-column data to Pajek for Google Maps Googlemap3>60AA3.D5:Pajek data to EdgebundleR**Network 60AA3.D5:Pajek data to EdgebundleR**Network Googlemap2>60AA.D7:Google Maps(from #60A7A:clustering)60AA.D7:Google Maps(from #60A7A:clustering) Authorcorrence8A>62A. Solving k in CLC algorithm 62A. Solving k in CLC algorithm Metaanalysis>End.D7: Exercise and submissionEnd.D7: Exercise and submission MeSHterm>EG01. Loop to MeSH terms or Keywords #59AEG01. Loop to MeSH terms or Keywords #59A MeSHterm2>EG012. Excluding self to MeSH terms or Keywords #59AEG012. Excluding self to MeSH terms or Keywords #59A Twomodeyear>FG2. Two mode data for keywords on chordFG2. Two mode data for keywords on chord TwomodeyearA>FG2A. Two mode data for keywords on HeatmapFG2A. Two mode data for keywords on Heatmap TwomodeyearA1>FG2B. Two mode data for *Details about cluster processFG2B. Two mode data for *Details about cluster process TwomodeyearA2>FG2C. Two mode data for Box PlotFG2C. Two mode data for Box Plot TwomodeyearA3>FG2D. Details:Two mode data of year in columnsFG2D. Details:Two mode data of year in columns /optgroup> optgroup> H.World Maps(Choropleth maps) Worldmap2>H01.A blank world map H01.A blank world map Worldmap>H02.A Choropleth mapH02.A Choropleth map Barbyyear>H03. Bar Chart by stacked yearH03. Bar Chart by stacked year Linebyyear>H04. Line Chart by yearH04. Line Chart by year Scatterbyyear>H05. Scatter Chart by year H05. Scatter Chart by year /optgroup> optgroup> W.Time series TimesABC0>0.Simple example0.Simple example TimesABC>1.Age example1.Age example TimesABC2>2.Birthday example2.Birthday example TimesABC3>3.Souvenir example3.Souvenir example TimesABC4>4.Smoth data example4.Smoth data example TimesABC5>5.Decompose:seasonal, trend and irregular component5.Decompose:seasonal, trend and irregular component TimesABC21>6.Seasonally adjusting6.Seasonally adjusting TimesABC22>7.Forecases7.Forecases /optgroup>
Select option:
This one you selected:Authorcorrence9C
1.Rasch model_ICC
2.Rasch model_WrightMap
3.Rasch MML model
4.2PLIRT
5.Rasch DIF
6.IRTLord DIF
7.AndersenLRTest
8.Rasch ML
9.Rasch MAPEAP
10.RaschAdersonLRtest
11.RaschAdersonLR
12.RaschRSMWrightMap
13.Raschprepost2GLPCM
14.ChordDiagram
14B. From chorddiagram to cluster Network
15.Circlebarplot
34.Circle Packing
341.Bar Chart
34A.Box plot
161.Venn Diagramthen
162.Venn Diagramthen2
342.Lollipop Chart
343.Lollipop with terms
37.Sankey
38.Sankey2
39. Network diagram
40. Via pajek to Network
46. Via metrix to Network
47. Network dendro2
48. Clusters by dendrogram
50. Circular Dendrogram
51. Heatmap33
52. Heatmap34(dendrogram)
410. Euclidean dendrogram0
41. Euclidean dendrogram
49. Euclidean dendrogram2
16.MetaSMD
17.MetaRR
18.MetaOR
35.Meta correlation
19.MetaFunne
20.NetworkMa plot(Event)
21.NetworkMA FixForest(Event)
22.NetworkMA RadomForest(Event)
23.Network Meta2(Event)
24.Network Meta3(MeanSD)
BX1.Descriptive analytics
BX2.Co-citation(Article (References))
BX3.Co-citation(Journal (Source))
BX4.Historiograph - Direct citation linkages
BX5.Co-word via keyword
BX6.Co-word via Corresponce
BX7.Thematic Map
BX8.Author collaboration
BX8.Unit collaboration
BX9.Country collaboration
BX10.Keyword Co-word
BX11.Lotka Law
BX12.Top-Authors annually
BX13.Coupling
25.Pyramid
41.Pyramid2
42.Pyramid3
26.Survial
27.Two mode Relation
28.Radar Plot
29.Bibar line chart
30.Stack Bar chart
31.Multi-Line chart
32.Multi-Line Bar Chart
33.Multi-Line Bar2 Chart
36.Wordcloud
43.Wordcloud2
44.Spider plot
45.Plot for Two Way Anova
101.RS1.Rstatistics
102.Compute effect size
Chien. Biliometrics in Pubmed
Guideline in Visualizations
EG2 Social network analysis(MP4)
EG31 matrix to Network to R
EG32 Transforming matrix to #59A
Start[here]. 2-column(couple) data
Start[here]2. 2-column(couple) Excluding ego-self
60A7A.D1:3-column to 6-column data
60A7B.D1:3 to 4 for Network in SNA
60A7C.D1:6 to 4 for Network in SNA
60A7B1.D1:4 to Network for SNA
Hit:Notice of the Google Maps
40. D1: Network chart(example)
40A.D1: To gain Pajek format(.paj)
Hit: Drawbacks above(many link, no cluster)
59 D2:Random cluster with size #46
59A D2:Enhancement: cluster then to #46
59B D2: No cluster to #14 Chord
60A1 D2: Cluster to #14 Chord
60A3 D2:*Chord(cluster & few links) to #14
60A31.D3:*Dendrogram to #47
60A4.*CircleBar. to #15 CircleBar
60A5.*CirclePacking. to #34 CirclePacking
60A6.D4:*HeatDendro. to #52 HeatDendro
60A7.D55:*Network: next to #46
60A7.D5:*Network: next to #40A
Hit: To Pajek by 60A7 then to 40A
Hit: Coordinate in Pajek & Google Maps
60A9.D6:Google Maps(Pajek in 40A)
60A8: *Details about cluster process
60A88: *Details without self connections
60A7A.D5:Data from 60A8 to pajek for Google Maps
60AA2.D5:nodes & relations in Network
60AA3.D5:nodes & relations Group in Network Group Network蝬脰楝
60AA1.D5:3-column data to Pajek for Google Maps
60AA3.D5:Pajek data to EdgebundleR**Network
60AA.D7:Google Maps(from #60A7A:clustering)
62A. Solving k in CLC algorithm
End.D7: Exercise and submission
EG01. Loop to MeSH terms or Keywords #59A
EG012. Excluding self to MeSH terms or Keywords #59A
FG2. Two mode data for keywords on chord
FG2A. Two mode data for keywords on Heatmap
FG2B. Two mode data for *Details about cluster process
FG2C. Two mode data for Box Plot
FG2D. Details:Two mode data of year in columns
H01.A blank world map
H02.A Choropleth map
H03. Bar Chart by stacked year
H04. Line Chart by year
H05. Scatter Chart by year
0.Simple example
1.Age example
2.Birthday example
3.Souvenir example
4.Smoth data example
5.Decompose:seasonal, trend and irregular component
6.Seasonally adjusting
7.Forecases
Source,Target,Cluster,WCD U.S,U.S,2,278 China,China,2,168 South Korea,South Korea,2,82 Canada,Canada,4,59 Taiwan,Taiwan,6,51 Germany,Germany,8,42 U.K,U.K,8,38 Australia,Australia,8,31 Spain,Spain,7,24.00106 Netherlands,Netherlands,9,21 Japan,Japan,10,19 France,France,12,18 Switzerland,Switzerland,13,14 Sweden,Sweden,14,12 Finland,Finland,1,9 Italy,Italy,13,9 Australia,U.K,8,5 Singapore,Singapore,3,5 Belgium,Belgium,7,4 Hong Kong,Hong Kong,5,4 China,U.S,2,3 Australia,China,8,3 Australia,Hong Kong,8,2 India,India,3,2 China,Hong Kong,2,2 South Korea,U.S,2,2 India,Singapore,3,2 China,New Zealand,2,1 Italy,Switzerland,13,1 Italy,Japan,13,1 India,U.S,3,1 China,U.K,2,1 Taiwan,U.S,6,1 New Zealand,New Zealand,11,1 Canada,U.S,4,1 China,Taiwan,2,1 Belgium,Spain,7,1 Germany,U.K,8,1