ThinkNeuro_R_week3_Notes
2026-02-08
Notes for Video #3: Coding Walk-through
Co-Authorship Network
analysis = “collaboration” -> we want to see who works together
network = “authors” -> the nodes in our network will be Authors
sep = “;” -> in raw data, multiple authors are listed like
"Smith, J; Doe, A; Lee, B"## [1] "Smith, J; Doe, A; Lee, B"biblioNetwork -> this function doesnt draw anything yet; it calculates the connections. It creates a square matrix where rows and columns are authors, and the numbers in the cells are how many papers they wrote together.
library(bibliometrix)## Please note that our software is open source and available for use, distributed under the MIT license.
## When it is used in a publication, we ask that authors properly cite the following reference:
##
## Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis,
## Journal of Informetrics, 11(4), pp 959-975, Elsevier.
##
## Failure to properly cite the software is considered a violation of the license.
##
## For information and bug reports:
## - Take a look at https://www.bibliometrix.org
## - Send an email to info@bibliometrix.org
## - Write a post on https://github.com/massimoaria/bibliometrix/issues
##
## Help us to keep Bibliometrix and Biblioshiny free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html)
##
##
## To start with the Biblioshiny app, please digit:
## biblioshiny()file_url <- "https://www.bibliometrix.org/datasets/savedrecs.bib"
M <- convert2df(file_url, dbsource = "isi", format = "bibtex")##
## Converting your isi collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!NetMatrix_Auth <- biblioNetwork(M,
analysis = "collaboration",
network = "authors",
sep = ";")To generate the network plot after creating the matrix:
NetMatrix_Auth -> we feed it to the matrix we calculated earlier
n = 20 -> a filter we use to only take data from the top 20 most productive authors (otherwise our data will be too dense)
type = “auto” -> chooses the layout algorithm. “Auto” usually defaults to Fruchterman-Reingold, which pushes unconnected nodes apart and pulls connected nodes together.
size = TRUE -> the size of the circle (node) will be proportional to the number of papers that author has written. Big circle = detailed author.
networkPlot(NetMatrix_Auth,
n = 20,
Title = "Co-Authorship Netowrk",
type = "auto",
size = TRUE,
labelsize = 0.7)
## $graph
## IGRAPH 1b31292 UNW- 20 171 --
## + attr: alpha (g/n), ylim (g/n), xlim (g/n), rescale (g/l), asp (g/n),
## | layout (g/n), main (g/c), name (v/c), deg (v/n), size (v/n),
## | label.cex (v/n), color (v/c), community (v/n), label.dist (v/n),
## | frame.color (v/c), label.color (v/c), label.font (v/n), label (v/c),
## | num (e/n), width (e/n), color (e/c), lty (e/n), weight (e/n), curved
## | (e/l)
## + edges from 1b31292 (vertex names):
## [1] asarin e--barr m asarin e--berry g asarin e--coquand t
## [4] asarin e--curien pl asarin e--de nicola r asarin e--edalat a
## [7] asarin e--ehrhard t asarin e--ehrig h asarin e--escardo m
## + ... omitted several edges
##
## $graph_pajek
## IGRAPH 4cd4302 UNW- 20 171 --
## + attr: name (v/c), deg (v/n), size (v/n), label.cex (v/n), id (v/c),
## | num (e/n), weight (e/n)
## + edges from 4cd4302 (vertex names):
## [1] asarin e--barr m asarin e--berry g asarin e--coquand t
## [4] asarin e--curien pl asarin e--de nicola r asarin e--edalat a
## [7] asarin e--ehrhard t asarin e--ehrig h asarin e--escardo m
## [10] asarin e--girard jy asarin e--hasegawa m asarin e--honsell f
## [13] asarin e--hyland m asarin e--kanovitch m asarin e--lack s
## [16] asarin e--longo g asarin e--milner r asarin e--mislove m
## [19] barr m --berry g barr m --coquand t barr m --curien pl
## + ... omitted several edges
##
## $cluster_obj
## IGRAPH clustering walktrap, groups: 2, mod: 0
## + groups:
## $`1`
## [1] "asarin e" "barr m" "berry g" "coquand t" "curien pl"
## [6] "de nicola r" "edalat a" "ehrhard t" "ehrig h" "escardo m"
## [11] "girard jy" "hasegawa m" "honsell f" "hyland m" "kanovitch m"
## [16] "lack s" "longo g" "milner r" "mislove m"
##
## $`2`
## [1] "kostoff rn"
##
##
## $cluster_res
## vertex cluster btw_centrality clos_centrality pagerank_centrality
## 2 asarin e 1 0 0.02686556 0.052219321
## 3 barr m 1 0 0.02686556 0.052219321
## 4 berry g 1 0 0.02686556 0.052219321
## 5 coquand t 1 0 0.02686556 0.052219321
## 6 curien pl 1 0 0.02686556 0.052219321
## 7 de nicola r 1 0 0.02686556 0.052219321
## 8 edalat a 1 0 0.02686556 0.052219321
## 9 ehrhard t 1 0 0.02686556 0.052219321
## 10 ehrig h 1 0 0.02686556 0.052219321
## 11 escardo m 1 0 0.02686556 0.052219321
## 12 girard jy 1 0 0.02686556 0.052219321
## 13 hasegawa m 1 0 0.02686556 0.052219321
## 14 honsell f 1 0 0.02686556 0.052219321
## 15 hyland m 1 0 0.02686556 0.052219321
## 16 kanovitch m 1 0 0.02686556 0.052219321
## 17 lack s 1 0 0.02686556 0.052219321
## 18 longo g 1 0 0.02686556 0.052219321
## 19 milner r 1 0 0.02686556 0.052219321
## 20 mislove m 1 0 0.02686556 0.052219321
## 1 kostoff rn 2 0 NaN 0.007832898
##
## $community_obj
## IGRAPH clustering walktrap, groups: 2, mod: 0
## + groups:
## $`1`
## [1] "asarin e" "barr m" "berry g" "coquand t" "curien pl"
## [6] "de nicola r" "edalat a" "ehrhard t" "ehrig h" "escardo m"
## [11] "girard jy" "hasegawa m" "honsell f" "hyland m" "kanovitch m"
## [16] "lack s" "longo g" "milner r" "mislove m"
##
## $`2`
## [1] "kostoff rn"
##
##
## $layout
## [,1] [,2]
## [1,] 1.0000000 1.00000000
## [2,] -0.7802175 -0.37776771
## [3,] -0.7101507 -0.93210477
## [4,] -0.8116924 -0.71084479
## [5,] -0.5998014 -0.33197078
## [6,] -0.5026575 -0.45750987
## [7,] -0.6042419 -0.92276897
## [8,] -0.8146773 -1.00000000
## [9,] -0.6785860 -0.58986629
## [10,] -0.7157050 -0.12911069
## [11,] -0.9252407 -0.84702426
## [12,] -0.5458314 -0.11999537
## [13,] -0.8835877 0.07189349
## [14,] -0.5514275 -0.69942366
## [15,] -0.7658121 0.12867280
## [16,] -1.0000000 -0.60375044
## [17,] -0.8854643 -0.16406121
## [18,] -0.9099698 -0.47064235
## [19,] -0.9929413 -0.24624944
## [20,] -0.6378457 0.07535154
##
## $S
## NULL
##
## $nodeDegree
## node degree
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## barr m barr m 0.85714286
## berry g berry g 0.85714286
## coquand t coquand t 0.85714286
## curien pl curien pl 0.85714286
## de nicola r de nicola r 0.85714286
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## ehrhard t ehrhard t 0.85714286
## ehrig h ehrig h 0.85714286
## escardo m escardo m 0.85714286
## girard jy girard jy 0.85714286
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## honsell f honsell f 0.85714286
## hyland m hyland m 0.85714286
## kanovitch m kanovitch m 0.85714286
## lack s lack s 0.85714286
## longo g longo g 0.85714286
## milner r milner r 0.85714286
## mislove m mislove m 0.85714286
## moggi e moggi e 0.85714286
## montanari u montanari u 0.85714286
## mscs editorial board mscseb mscs editorial board mscseb 0.85714286
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## pierce b pierce b 0.85714286
## pitts a pitts a 0.85714286
## plotkin gd plotkin gd 0.85714286
## scedrov a scedrov a 0.85714286
## scott ds scott ds 0.85714286
## scott pj scott pj 0.85714286
## seely rag seely rag 0.85714286
## selinger p selinger p 0.85714286
## simpson a simpson a 0.85714286
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## winskel g winskel g 0.85714286
## bornmann l bornmann l 0.64285714
## humenik ja humenik ja 0.54761905
## glanzel w glanzel w 0.50000000
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## valderrama-zurian j valderrama-zurian j 0.23809524
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## chartier-kastler e chartier-kastler e 0.23809524
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## faron m faron m 0.23809524
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## lefevre jh lefevre jh 0.23809524
## m. -o mo m. -o mo 0.23809524
## richard f richard f 0.23809524
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## white hd white hd 0.21428571
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## de oliveira pereira barretto ag de oliveira pereira barretto ag 0.21428571
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## borgman cl borgman cl 0.16666667
## mccain kw mccain kw 0.16666667
## peritz bc peritz bc 0.16666667
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## am am am am 0.16666667
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## chen tj chen tj 0.16666667
## chen yc chen yc 0.16666667
## crowley sj crowley sj 0.16666667
## d. d d. d 0.16666667
## de la vega i de la vega i 0.16666667
## de moor b de moor b 0.16666667
## del rio ja del rio ja 0.16666667
## du y du y 0.16666667
## eigenbrode s eigenbrode s 0.16666667
## ferrer c ferrer c 0.16666667
## garcia eo garcia eo 0.16666667
## german rodriguez l german rodriguez l 0.16666667
## haschler i haschler i 0.16666667
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## humenik humenik 0.16666667
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## janssens f janssens f 0.16666667
## javier j javier j 0.16666667
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## l. l l. l 0.16666667
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## liendo p liendo p 0.16666667
## liu liu 0.16666667
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##
## $params
## params values
## 1 n 20
## 2 Title Co-Authorship Netowrk
## 3 type auto
## 4 label TRUE
## 5 labelsize 0.7
## 6 label.cex FALSE
## 7 label.color FALSE
## 8 halo FALSE
## 9 cluster walktrap
## 10 community.repulsion 0.5
## 11 size 20
## 12 size.cex TRUE
## 13 curved FALSE
## 14 noloops TRUE
## 15 remove.multiple TRUE
## 16 remove.isolates FALSE
## 17 edgesize 1
## 18 edges.min 0
## 19 alpha 0.5
## 20 verbose TRUEWhat can we do to make this better?
Remove the isolated node -> get rid of irrelevant data point
Use curved lines -> look closer into who the top 20 authors are
Co-Citation Network
You can create a co-citation network using almost the same steps as the co-authorship network, but with one chagne; set the “network” argument to “references” instead of “authors”.
NetMatrix_CoCit <- biblioNetwork(M,
analysis = "co-citation",
network = "references",
sep = ";")
networkPlot(NetMatrix_CoCit,
n = 20,
Title = "Co-Citation Network",
type = "fruchterman", # this is just a good layout for clustering
size = TRUE, # Node size = number of citations
remove.isolates = TRUE, # Hides papers that don't connect to others
label.n = 10, # Only label the top 10 to avoid text clutter
labelsize = 0.7)
## $graph
## IGRAPH ae8c93f UNW- 20 150 --
## + attr: alpha (g/n), ylim (g/n), xlim (g/n), rescale (g/l), asp (g/n),
## | layout (g/n), main (g/c), name (v/c), deg (v/n), size (v/n),
## | label.cex (v/n), color (v/c), community (v/n), labelsize (v/n),
## | label.dist (v/n), frame.color (v/c), label.color (v/c), label.font
## | (v/n), label (v/c), num (e/n), width (e/n), color (e/c), lty (e/n),
## | weight (e/n), curved (e/l)
## + edges from ae8c93f (vertex names):
## [1] hirsch je 2005--pritchar.a 1969 1969 hirsch je 2005--small h 1973
## [3] hirsch je 2005--de solla 1963 hirsch je 2005--bradford s. 1934
## [5] hirsch je 2005--white hd 1981-1 hirsch je 2005--macroberts mh 1989
## + ... omitted several edges
##
## $graph_pajek
## IGRAPH bd18aff UNW- 20 150 --
## + attr: name (v/c), deg (v/n), size (v/n), label.cex (v/n), id (v/c),
## | num (e/n), weight (e/n)
## + edges from bd18aff (vertex names):
## [1] hirsch je 2005 --pritchar.a 1969 1969
## [2] hirsch je 2005 --small h 1973
## [3] hirsch je 2005 --de solla 1963
## [4] hirsch je 2005 --bradford s. 1934
## [5] hirsch je 2005 --white hd 1981-1
## [6] hirsch je 2005 --macroberts mh 1989
## [7] hirsch je 2005 --price djd 1976-1
## + ... omitted several edges
##
## $cluster_obj
## IGRAPH clustering walktrap, groups: 3, mod: 0.017
## + groups:
## $`1`
## [1] "price djd 1965-1" "kostoff rn 1998-1" "small hg 1978"
## [4] "smith lc 1981" "white hd 1989-1" "garfield e. 1979-1"
## [7] "solla price 1970" "cronin b 1994-1" "edge d 1979"
## [10] "lindsey d 1982"
##
## $`2`
## [1] "hirsch je 2005" "bradford s. 1934"
##
## $`3`
## + ... omitted several groups/vertices
##
## $cluster_res
## vertex cluster btw_centrality clos_centrality
## 8 price djd 1965-1 1 5.427416 0.07511157
## 10 kostoff rn 1998-1 1 1.636432 0.06259297
## 11 small hg 1978 1 5.427416 0.07511157
## 12 smith lc 1981 1 3.571557 0.07041710
## 13 white hd 1989-1 1 2.375742 0.07268861
## 14 garfield e. 1979-1 1 5.427416 0.07511157
## 16 solla price 1970 1 3.997105 0.07041710
## 18 cronin b 1994-1 1 0.551134 0.05633368
## 19 edge d 1979 1 3.571557 0.07041710
## 20 lindsey d 1982 1 2.754298 0.06627491
## 1 hirsch je 2005 2 2.832514 0.06627491
## 5 bradford s. 1934 2 7.427416 0.07770162
## 2 pritchar.a 1969 1969 3 6.173788 0.07041710
## 3 small h 1973 3 11.346781 0.08047668
## 4 de solla 1963 3 7.637569 0.06828324
## 6 white hd 1981-1 3 18.500155 0.08666719
## 7 macroberts mh 1989 3 12.759347 0.07770162
## 9 kessler mm 1963 3 6.507282 0.07041710
## 15 burton re 1960 3 8.745966 0.07511157
## 17 price djd 1976-1 3 8.329111 0.07511157
## pagerank_centrality
## 8 0.05318978
## 10 0.05004423
## 11 0.05797738
## 12 0.05215066
## 13 0.05258946
## 14 0.05797738
## 16 0.05691301
## 18 0.04797897
## 19 0.05691916
## 20 0.05109053
## 1 0.02116601
## 5 0.02485710
## 2 0.05272149
## 3 0.05471383
## 4 0.05173922
## 6 0.05571390
## 7 0.04854470
## 9 0.05209516
## 15 0.05308964
## 17 0.04852840
##
## $community_obj
## IGRAPH clustering walktrap, groups: 3, mod: 0.017
## + groups:
## $`1`
## [1] "price djd 1965-1" "kostoff rn 1998-1" "small hg 1978"
## [4] "smith lc 1981" "white hd 1989-1" "garfield e. 1979-1"
## [7] "solla price 1970" "cronin b 1994-1" "edge d 1979"
## [10] "lindsey d 1982"
##
## $`2`
## [1] "hirsch je 2005" "bradford s. 1934"
##
## $`3`
## + ... omitted several groups/vertices
##
## $layout
## [,1] [,2]
## [1,] 1.00000000 -1.00000000
## [2,] 0.29179516 -0.30582486
## [3,] -0.07030363 -0.15272270
## [4,] -0.09402238 -0.39736816
## [5,] 0.51173263 -0.86650201
## [6,] 0.04974771 0.06193463
## [7,] 0.49676804 0.13526889
## [8,] -0.23816253 0.42106510
## [9,] 0.37525426 -0.07007282
## [10,] -0.09479746 0.96739256
## [11,] -0.18920517 0.65569559
## [12,] -0.89957431 0.37906520
## [13,] 0.13046307 0.60133253
## [14,] -0.56635734 0.42630539
## [15,] -0.40458682 -0.06590758
## [16,] -0.66276895 0.63161759
## [17,] -0.48092970 -0.34511396
## [18,] -0.68069236 1.00000000
## [19,] -0.42162709 0.80285497
## [20,] -1.00000000 0.67405833
##
## $S
## NULL
##
## $nodeDegree
## node
## small h 1973 small h 1973
## pritchar.a 1969 1969 pritchar.a 1969 1969
## white hd 1981-1 white hd 1981-1
## price djd 1965-1 price djd 1965-1
## garfield e. 1979-1 garfield e. 1979-1
## price djd 1976-1 price djd 1976-1
## bradford s. 1934 bradford s. 1934
## macroberts mh 1989 macroberts mh 1989
## smith lc 1981 smith lc 1981
## burton re 1960 burton re 1960
## hirsch je 2005 hirsch je 2005
## white hd 1989-1 white hd 1989-1
## solla price 1970 solla price 1970
## small hg 1978 small hg 1978
## lindsey d 1982 lindsey d 1982
## de solla 1963 de solla 1963
## kessler mm 1963 kessler mm 1963
## edge d 1979 edge d 1979
## cronin b 1994-1 cronin b 1994-1
## kostoff rn 1998-1 kostoff rn 1998-1
## schrader am 1981 schrader am 1981
## small h. 1982 small h. 1982
## narin f 1976-1 narin f 1976-1
## hawkins dt 1977 hawkins dt 1977
## small h 1999 small h 1999
## gross p 1927 gross p 1927
## lawani sm 1981 lawani sm 1981
## lotka a. 1926 lotka a. 1926
## broadus rn 1987-2 broadus rn 1987-2
## hertzel dorothy 1987 hertzel dorothy 1987
## taguesutcliffe j 1992 taguesutcliffe j 1992
## broadus rn 1987-1 broadus rn 1987-1
## small h 1974 small h 1974
## potter wg 1981-1 potter wg 1981-1
## bookstein a 1976 bookstein a 1976
## mullins nc 1977 mullins nc 1977
## small h 1985-1 small h 1985-1
## brin s 1998-1 brin s 1998-1
## cronin b. 1984-1 cronin b. 1984-1
## king j 1987 king j 1987
## cole francis 1917 cole francis 1917
## garfield e 1972-1 garfield e 1972-1
## small h 1980-1 small h 1980-1
## pinski g 1976 pinski g 1976
## borgman c. 1990-1 borgman c. 1990-1
## cronin b 2001 cronin b 2001
## merton rk 1968 merton rk 1968
## almind tc 1997 almind tc 1997
## subramanyam k 1983 subramanyam k 1983
## van raan 1988 van raan 1988
## leydesdorff l 1987-1 leydesdorff l 1987-1
## brookes bc 1968-1 brookes bc 1968-1
## white hd 1998 white hd 1998
## lindsey d 1980 lindsey d 1980
## baldi s 1998 baldi s 1998
## heffner ag 1981 heffner ag 1981
## aversa es 1985 aversa es 1985
## oconnor do 1981 oconnor do 1981
## white hd 1997 white hd 1997
## garfield e 2006-1 garfield e 2006-1
## doreian p 1988-1 doreian p 1988-1
## moed hf 1985-1 moed hf 1985-1
## martin br 1983 martin br 1983
## rice re 1989 rice re 1989
## narin f 1977-1 narin f 1977-1
## small hg 1977 small hg 1977
## brookes b. 1970 brookes b. 1970
## garfield e 1955 garfield e 1955
## noma e 1982 noma e 1982
## small h 1980-2 small h 1980-2
## brookes bc 1980-1 brookes bc 1980-1
## brookes bc 1980-2 brookes bc 1980-2
## saracevic t 1975 saracevic t 1975
## todorov r 1988 todorov r 1988
## braun t 1985 braun t 1985
## garfield e. 1978 garfield e. 1978
## brookes bc 1977-1 brookes bc 1977-1
## garfield e. 1979-2 garfield e. 1979-2
## cole s 1967 cole s 1967
## merton r. 1973-1 merton r. 1973-1
## crouch d 1986 crouch d 1986
## pritchard a. 1981 pritchard a. 1981
## crane d 1972 crane d 1972
## lawson j 1980 lawson j 1980
## gilbert gn 1977 gilbert gn 1977
## de bellis 2009 de bellis 2009
## asai i 1981 asai i 1981
## griffith bc 1974 griffith bc 1974
## chen cm 2006 chen cm 2006
## white hd 1981-2 white hd 1981-2
## healey p 1986 healey p 1986
## moed hf 1985-2 moed hf 1985-2
## sengupta in 1985-1 sengupta in 1985-1
## bottle rt 1987 bottle rt 1987
## brookes bc 1969-1 brookes bc 1969-1
## brookes bc 1984-1 brookes bc 1984-1
## egghe l 1987 egghe l 1987
## hubert jj 1977 hubert jj 1977
## rothman h 1985-1 rothman h 1985-1
## sichel hs 1985 sichel hs 1985
## vlachy j 1985-1 vlachy j 1985-1
## leydesdorff l 1998 leydesdorff l 1998
## fairthor.ra 1969 1969 fairthor.ra 1969 1969
## paisley w. 1984 paisley w. 1984
## wouters p. 1999-1 wouters p. 1999-1
## frame jd 1979 frame jd 1979
## callon m. 1986 callon m. 1986
## ginsparg p. 1994 ginsparg p. 1994
## snyder h 1998 snyder h 1998
## mccain kw 1986-1 mccain kw 1986-1
## bellardo t. 1980 bellardo t. 1980
## ingwersen p 1998 ingwersen p 1998
## snyder h 1999 snyder h 1999
## small h 1985-2 small h 1985-2
## may rm 1997 may rm 1997
## white hd 1982 white hd 1982
## cozzens se 1982 cozzens se 1982
## doreian p 1988-2 doreian p 1988-2
## lenk p 1983 lenk p 1983
## marton j 1983 marton j 1983
## mccain kw 1984 mccain kw 1984
## small h 1986-1 small h 1986-1
## rousseau r 1992-1 rousseau r 1992-1
## mccain kw 1990-1 mccain kw 1990-1
## sengupta in 1992 sengupta in 1992
## narin f 1994-1 narin f 1994-1
## bookstein a 1979 bookstein a 1979
## drott mc 1979 drott mc 1979
## chubin de 1987 chubin de 1987
## long js 1982 long js 1982
## beaver dd 1979 beaver dd 1979
## fox mf 1983 fox mf 1983
## gordon md 1980 gordon md 1980
## lawani sm 1986 lawani sm 1986
## smart jc 1986 smart jc 1986
## cronin b 2000-1 cronin b 2000-1
## swanson dr 1986-2 swanson dr 1986-2
## garfield e. 1964 garfield e. 1964
## macroberts mh 1996 macroberts mh 1996
## macroberts mh 1987-1 macroberts mh 1987-1
## egghe l. 1990-1 egghe l. 1990-1
## reeves b 1983 reeves b 1983
## drott mc 1981 drott mc 1981
## harsanyi ma 1993-1 harsanyi ma 1993-1
## burton hd 1988 burton hd 1988
## egghe l 1988-1 egghe l 1988-1
## schrader am 1984 schrader am 1984
## oppenheim c 1997 oppenheim c 1997
## barabasi al 1999 barabasi al 1999
## seglen po 1992 seglen po 1992
## harter sp 1992 harter sp 1992
## mccain kw 1983 mccain kw 1983
## stinson er 1987 stinson er 1987
## moed h. 2005-1 moed h. 2005-1
## hicks d 1987 hicks d 1987
## koenig med 1983-1 koenig med 1983-1
## peritz bc 1992 peritz bc 1992
## carpenter mp 1981 carpenter mp 1981
## porter al 1977 porter al 1977
## schamber l 1994 schamber l 1994
## white hd 2003 white hd 2003
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## nelson mj 1985 nelson mj 1985
## swanson dr 1986-1 swanson dr 1986-1
## cronin b 1998-1 cronin b 1998-1
## crane d 1970 crane d 1970
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## braam rr 1991 braam rr 1991
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## bensman s. 1982 bensman s. 1982
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## griffith bc 1979-1 griffith bc 1979-1
## lawani sm 1982 lawani sm 1982
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## harnad s 1990 harnad s 1990
## liu mx 1993 liu mx 1993
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## carpenter mp 1988 carpenter mp 1988
## budd j 1986 budd j 1986
## heinzkill r 1980 heinzkill r 1980
## lenoir t 1979 lenoir t 1979
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## narin f 1988 narin f 1988
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## herman il 1991 herman il 1991
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## schauder d 1994 schauder d 1994
## seglen po 1994 seglen po 1994
## anderson rc 1978 anderson rc 1978
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## saha s 2003 saha s 2003
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## *us nat 1987 *us nat 1987
## *us nat 1982 *us nat 1982
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## bastille jd 1980 bastille jd 1980
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## bollinger w. 1984 bollinger w. 1984
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## brookes bc 1982 brookes bc 1982
## brookes bc 1984-3 brookes bc 1984-3
## brown t 1979 brown t 1979
## carpenter mp 1979 carpenter mp 1979
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## chen ys 1987-1 chen ys 1987-1
## chen ys 1987-2 chen ys 1987-2
## christovao ht 1985 christovao ht 1985
## cleveland db 1976 cleveland db 1976
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## coile rc 1977 coile rc 1977
## cole s. 1978 cole s. 1978
## coward h 1984 coward h 1984
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## cozzens se 1985-2 cozzens se 1985-2
## crawford s 1979 crawford s 1979
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## culnan mj 1987 culnan mj 1987
## de mey 1982 de mey 1982
## dequeiroz gg 1981 dequeiroz gg 1981
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## drott mc 1978 drott mc 1978
## egghe l 1985 egghe l 1985
## egghe l 1986 egghe l 1986
## egghe l 1988-3 egghe l 1988-3
## egghe l 1988-6 egghe l 1988-6
## elkana y. 1978 elkana y. 1978
## escarpit robert 1970 escarpit robert 1970
## franklin jj 1988 franklin jj 1988
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## garfield e 1981 garfield e 1981
## garfield e 1983-3 garfield e 1983-3
## garfield e 1984-2 garfield e 1984-2
## garfield e. 1977 garfield e. 1977
## gatrell ac 1984 gatrell ac 1984
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## griffith bc 1988-2 griffith bc 1988-2
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## hargens ll 1986 hargens ll 1986
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## heine mh 1978 heine mh 1978
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## hirst g 1978-2 hirst g 1978-2
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## hubert jj 1980 hubert jj 1980
## hubert jj 1981 hubert jj 1981
## hurt cd 1983 hurt cd 1983
## hurt cd 1985 hurt cd 1985
## ikpaahindi l 1985 ikpaahindi l 1985
## ingwersen p 1984 ingwersen p 1984
## irvine j 1985-2 irvine j 1985-2
## irvine j 1987 irvine j 1987
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## king j 1988 king j 1988
## klapp o. 1978 klapp o. 1978
## kochen m. 1978 kochen m. 1978
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## line mb 1986-2 line mb 1986-2
## line mb 1987 line mb 1987
## logan el 1987 logan el 1987
## martin wa 1982 martin wa 1982
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## mccain kw 1988 mccain kw 1988
## mccain kw 1989-2 mccain kw 1989-2
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## nadel e 1983 nadel e 1983
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## narin f. 1988 narin f. 1988
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## pao ml 1986 pao ml 1986
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## peritz bc 1984-3 peritz bc 1984-3
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## pinski g 1977 pinski g 1977
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## potter wg 1988-2 potter wg 1988-2
## pravdic n 1985 pravdic n 1985
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## sandison a 1987 sandison a 1987
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## small h 1986-2 small h 1986-2
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## glanzel w 2004 glanzel w 2004
## kumari l 1989 kumari l 1989
## broadus rn 1977 broadus rn 1977
## gross plk 1927 gross plk 1927
## bakkalbasi nisa 2006 bakkalbasi nisa 2006
## kostoff rn 2001-2 kostoff rn 2001-2
## pritchard ag 1981 pritchard ag 1981
## crane d 1969 crane d 1969
## ahn k 2006 ahn k 2006
## ahn k 2008 ahn k 2008
## ahn k 2009 ahn k 2009
## ambuhl d 2009 ambuhl d 2009
## ambuhl d 2010 ambuhl d 2010
## anonymous 2007 2007-1 anonymous 2007 2007-1
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## baumann b. 1998 baumann b. 1998
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## bianchi d 2010 bianchi d 2010
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## boehme tj 5984 boehme tj 5984
## borhan h 2012 borhan h 2012
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## boukehili a 2012 boukehili a 2012
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## chen z 2014 chen z 2014
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## delprat s 2004 delprat s 2004
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## di cairano 2014 di cairano 2014
## dincmen e 2010 dincmen e 2010
## dosthosseini r 2011 dosthosseini r 2011
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## gao w. 2005 gao w. 2005
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## gong qm 2007 gong qm 2007
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## guardiola c 2014 guardiola c 2014
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## kim ts 2014 kim ts 2014
## kim y 2014 kim y 2014
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## li lh 2014 li lh 2014
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## li wm 2012 li wm 2012
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## tie sf 2012 tie sf 2012
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## callon m 1991 callon m 1991
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## brookes bc 1981-1 brookes bc 1981-1
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## brown ch 1956-2 brown ch 1956-2
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## egghe l 1990-1 egghe l 1990-1
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## price d.d.s. 1978 price d.d.s. 1978
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## srinivasan p. 1992 0.081221572
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## woods wa 9761 0.081221572
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## zuckerman h 1967 0.080571800
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## arunachalam s 1985-1 0.080571800
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## lau ty 1995 0.080571800
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## ling rf 1976 0.080571800
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## lorenz jg 1969 0.080571800
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## smart jc 1982 0.080571800
## spurgeon d 1987 0.080571800
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## tijssen rjw 1990 0.080571800
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## trivison d 1987 0.080571800
## urata h 1990 0.080571800
## white h. 1990 0.080571800
## wood dn 1967 0.080571800
## lundberg j 2007 0.079922027
## schubert a 1983-1 0.079922027
## vinkler p 2010-1 0.079272255
## lee j 2009 0.078622482
## kamada t 1989 0.078622482
## van raan 2003 0.078622482
## bonitz m 1982 0.077972710
## kostoff rn 2000-3 0.076673164
## moed hf 2002-1 0.076673164
## ironside pm 2007-1 0.076673164
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## kostoff rn 1994-1 0.075373619
## albarran p 2011-1 0.075373619
## garfield e 2007 0.075373619
## merton rk 1965 0.075373619
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## bornmann l 2011-3 0.074723847
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## pryor graham 2012 0.074723847
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## university of 2011 0.074723847
## university of 2012 0.074723847
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## walters t. 2009 0.074723847
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## durieux v 2010 0.074074074
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## gilbert n. 1997 0.074074074
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## gladding st 1984 0.072774529
## harsanyi ma 1993-2 0.072774529
## hart r 1990 0.072774529
## heffner ag 1979 0.072774529
## houk vn 1991 0.072774529
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## olsgaard jn 1984 0.072774529
## over r 1982 0.072774529
## page ih 1964 0.072774529
## patel n. 1972 0.072774529
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## huang l 2011 0.034437947
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## jeon j 2011-2 0.034437947
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## lai kk 2005 0.034437947
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##
## $params
## params values
## 1 n 20
## 2 Title Co-Citation Network
## 3 type fruchterman
## 4 label TRUE
## 5 labelsize 0.7
## 6 label.cex FALSE
## 7 label.color FALSE
## 8 label.n 10
## 9 halo FALSE
## 10 cluster walktrap
## 11 community.repulsion 0.5
## 12 size 20
## 13 size.cex TRUE
## 14 curved FALSE
## 15 noloops TRUE
## 16 remove.multiple TRUE
## 17 remove.isolates TRUE
## 18 edgesize 1
## 19 edges.min 0
## 20 alpha 0.5
## 21 verbose TRUEKeyword Analysis
Basically the same script as Co-Authorship and Co-Citation but “analysis” becomes “co-occurences” and “network” (the nodes) becomes “keywords”.
NetMatrix_Keywords <- biblioNetwork(M,
analysis = "co-occurrences",
network = "keywords",
sep = ";")
net <- networkPlot(NetMatrix_Keywords,
n = 30,
Title = "Keyword Co-Occurrence Network",
type = "fruchterman", # fruchterman and auto are both layout algorithms that determine how nodes are positioned; fruchterman is kind of a recognized gold-standard while "auto" adjusts to the type of data you're using, which usually leads it to default to fruchterman (which is why they look so similar)
size = TRUE,
edgesize = 5,
labelsize = 0.7)
Size of the node = word frequency Distance between the nodes = how often
they are used together
Bibliographic Coupling
analysis = “coupling” -> instead of looking at words in the paper, R looks at the References at the end of the paper
network = “authors” -> links Author A and Author B if their reference lists overlap
NetMatrix_BibCoupling <- biblioNetwork(M,
analysis = "coupling",
network = "authors",
sep = ";")
net_coupling <- networkPlot(NetMatrix_BibCoupling,
n = 20,
Title = "Bibliographic Coupling (Authors)",
type = "auto",
size = TRUE,
cluster = "louvain") # "louvain" is an algorithm used to connect community structures in data networks; i.e., it identifies groups that share a commonality
This is used to find “current research fronts”. If two authors cite the
same papers, they are likely working on the same modern problem.