From b2d058442060af678ae84f150146a0f3e5d0f7b7 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Wed, 15 Nov 2023 12:38:07 +0100 Subject: [PATCH 1/4] minor fix --- inst/biblioshiny/libraries.R | 6 ++++++ inst/biblioshiny/server.R | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/inst/biblioshiny/libraries.R b/inst/biblioshiny/libraries.R index 03dccd1..b0b77bc 100644 --- a/inst/biblioshiny/libraries.R +++ b/inst/biblioshiny/libraries.R @@ -20,6 +20,9 @@ libraries <- function(){ if (!require(RCurl, quietly=TRUE)){install.packages("RCurl")} if (!require(openxlsx, quietly=TRUE)){install.packages("openxlsx"); require(openxlsx, quietly=TRUE)} if (!require(shinyWidgets, quietly=TRUE)){install.packages("shinyWidgets"); require(shinyWidgets, quietly=TRUE)} + + ## Currently "webshot2" 0.1.1 generates empty screenshots on windows 10 for graphics created with visnetwork. + ## This workaround installs the previous version 0.1.0 to temporarily fix the problem. if (!require(webshot2,quietly=TRUE)){ install.packages("https://cran.r-project.org/src/contrib/Archive/webshot2/webshot2_0.1.0.tar.gz", repos = NULL, type = "source") }else{ @@ -30,11 +33,14 @@ libraries <- function(){ install.packages("https://cran.r-project.org/src/contrib/Archive/webshot2/webshot2_0.1.0.tar.gz", repos = NULL, type = "source") } } + ## + if (!(require(chromote, quietly=TRUE))){install.packages("chromote"); require(chromote, quietly=TRUE)} ### workaround for webshot2 on shinyapps.io if (!(require(curl, quietly=TRUE))){install.packages("curl"); require(curl, quietly=TRUE)} if (!(require(pagedown, quietly=TRUE))){install.packages("pagedown"); require(pagedown, quietly=TRUE)} + ## require(Matrix, quietly = TRUE) require(dimensionsR, quietly = TRUE) require(pubmedR, quietly = TRUE) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index 7e22416..78fa43a 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -30,7 +30,7 @@ server <- function(input, output,session){ HTML("Chrome or a Chromium-based browser is not installed on your computer.
If you do not have either of these browsers installed, Biblioshiny will be unable to export graphs.
To ensure the functionality of Biblioshiny, - please download Chrome by clicking here."), + please download Chrome by clicking here."), footer = modalButton("Dismiss"), easyClose = TRUE )) From 6a248ff4bb79e1ab3a0880fa466f9dab600b26d9 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Sat, 18 Nov 2023 21:47:11 +0100 Subject: [PATCH 2/4] check for CRAN release candidate 4.1.4 --- NAMESPACE | 2 ++ R/histNetwork.R | 4 ++-- R/zzz.R | 2 ++ 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index ad72927..cade7fb 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -186,10 +186,12 @@ importFrom(dplyr,bind_rows) importFrom(dplyr,count) importFrom(dplyr,cummean) importFrom(dplyr,desc) +importFrom(dplyr,distinct) importFrom(dplyr,do) importFrom(dplyr,group_by) importFrom(dplyr,if_all) importFrom(dplyr,inner_join) +importFrom(dplyr,join_by) importFrom(dplyr,left_join) importFrom(dplyr,mutate) importFrom(dplyr,mutate_at) diff --git a/R/histNetwork.R b/R/histNetwork.R index 5291702..8881068 100644 --- a/R/histNetwork.R +++ b/R/histNetwork.R @@ -324,7 +324,7 @@ scopus <- function(M, min.citations, sep, network, verbose){ dplyr::filter(.data$toRemove != TRUE) LCS <- CR %>% - group_by(SR_cited) %>% + group_by(.data$SR_cited) %>% count(name="LCS") @@ -353,7 +353,7 @@ scopus <- function(M, min.citations, sep, network, verbose){ CRadd <- data.frame(SR_citing=unique(M$SR), SR_cited=unique(M$SR), value=1) WLCR <- CR %>% - select(SR_citing, SR_cited) %>% + select(.data$SR_citing, .data$SR_cited) %>% mutate(value = 1) %>% bind_rows(CRadd) %>% distinct() %>% diff --git a/R/zzz.R b/R/zzz.R index 756b947..3545072 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -25,6 +25,8 @@ ## @importFrom dplyr filter #' @importFrom dplyr arrange #' @importFrom dplyr do +#' @importFrom dplyr distinct +#' @importFrom dplyr join_by #' @importFrom dplyr n #' @importFrom dplyr slice #' @importFrom dplyr slice_max From 6b240bf2b63ca6b337c90dc8a4c1c8f359e30860 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 27 Nov 2023 10:10:40 +0100 Subject: [PATCH 3/4] issues #405 and #406: Solved --- NAMESPACE | 3 +-- R/Hindex.R | 2 +- R/zzz.R | 3 +-- 3 files changed, 3 insertions(+), 5 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index cade7fb..b312f91 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -81,7 +81,6 @@ importFrom(Matrix,Matrix) importFrom(Matrix,MatrixClass) importFrom(Matrix,Ops) importFrom(Matrix,Summary) -importFrom(Matrix,T2graph) importFrom(Matrix,abIseq) importFrom(Matrix,abIseq1) importFrom(Matrix,all.equal) @@ -115,7 +114,6 @@ importFrom(Matrix,forceSymmetric) importFrom(Matrix,format) importFrom(Matrix,formatSpMatrix) importFrom(Matrix,formatSparseM) -importFrom(Matrix,graph2T) importFrom(Matrix,head) importFrom(Matrix,image) importFrom(Matrix,invPerm) @@ -197,6 +195,7 @@ importFrom(dplyr,mutate) importFrom(dplyr,mutate_at) importFrom(dplyr,mutate_if) importFrom(dplyr,n) +importFrom(dplyr,reframe) importFrom(dplyr,relocate) importFrom(dplyr,rename) importFrom(dplyr,rename_with) diff --git a/R/Hindex.R b/R/Hindex.R index 75f630e..a967311 100644 --- a/R/Hindex.R +++ b/R/Hindex.R @@ -85,7 +85,7 @@ Hindex <- function(M, field="author", elements=NULL, sep = ";",years=Inf){ H <- df %>% group_by(.data$AUs) %>% - summarize(#Element = .data$AUs[1], + reframe(#Element = .data$AUs[1], h_index = h_calc(.data$TC), g_index = g_calc(.data$TC), PY_start = min(.data$PY), diff --git a/R/zzz.R b/R/zzz.R index 3545072..08e3453 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -55,6 +55,7 @@ #' @importFrom dplyr relocate #' @importFrom dplyr slice_head #' @importFrom dplyr slice_tail +#' @importFrom dplyr reframe #' @importFrom plotly add_annotations #' @importFrom plotly add_lines #' @importFrom plotly config @@ -198,7 +199,6 @@ #' @importFrom Matrix format #' @importFrom Matrix formatSparseM #' @importFrom Matrix formatSpMatrix -#' @importFrom Matrix graph2T #' @importFrom Matrix head #' @importFrom Matrix image #' @importFrom Matrix invPerm @@ -252,7 +252,6 @@ #' @importFrom Matrix Summary #' @importFrom Matrix symmpart #' @importFrom Matrix t -#' @importFrom Matrix T2graph #' @importFrom Matrix tail #' @importFrom Matrix tcrossprod #' @importFrom Matrix tril From 67d3205da7b15dccce423a4ed1c21a976b83f474 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 28 Nov 2023 10:46:47 +0100 Subject: [PATCH 4/4] CRAN Release 4.1.4 --- .Rbuildignore | 2 + NEWS | 5 +- R/couplingMap.R | 2 +- R/csvScopus2df.R | 4 ++ R/isi2df.R | 4 ++ R/normalizeCItationScore.R | 2 +- README.md | 47 +++++++++--------- man/couplingMap.Rd | 2 +- man/figures/README-Co-Word Analysis-1.png | Bin 822180 -> 761270 bytes man/figures/README-Co-Word Analysis-2.png | Bin 680239 -> 619816 bytes man/figures/README-Co-citation network-1.png | Bin 1225544 -> 908958 bytes .../README-Country collaboration-1.png | Bin 1198963 -> 1201093 bytes ...EADME-Historical Co-citation network-1.png | Bin 583219 -> 579299 bytes .../README-Keyword c-occurrences-1.png | Bin 1410783 -> 1208684 bytes man/normalizeCitationScore.Rd | 2 +- 15 files changed, 41 insertions(+), 29 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 1a932a7..5c9af37 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -22,3 +22,5 @@ Rubbish ^inst/biblioshiny/rsconnect ^rsconnect +^CRAN-SUBMISSION$ +^cran-comments\.md$ diff --git a/NEWS b/NEWS index 73b6822..730f855 100644 --- a/NEWS +++ b/NEWS @@ -1,6 +1,7 @@ -bibliometrix v4.1.4 (Release date: ) +bibliometrix v4.1.4 (Release date: 2023-11-29) Changes: +* Biblioshiny: After the data quality check, the menus of the analyses that cannot be performed are hidden * Start to adding support to OpenAlex data * Improvements in historiograph: - Improved Scopus algorithm to match local citations @@ -8,6 +9,8 @@ Changes: - Added Lens.org algorithm to match local citations * Improved pajek export in biblioshiny * Computational speed improvements +* Solved issue with igraph 1.6.0 release canddate +* Solved issue with Matrix package bibliometrix v4.1.2 (Release date: 2023-03-06) diff --git a/R/couplingMap.R b/R/couplingMap.R index 394a79c..996747f 100644 --- a/R/couplingMap.R +++ b/R/couplingMap.R @@ -22,7 +22,7 @@ #' @param impact.measure is a character. It indicates the impact measure used to rank cluster elements (documents, authors or sources). #' It can be \code{impact.measure = c("local", "global")}.\\ #' With \code{impact.measure = "local"}, \link{couplingMap} calculates elements impact using the Normalized Local Citation Score while -#' using code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact. +#' using \code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact. #' @param minfreq is a integer. It indicates the minimum frequency (per thousand) of a cluster. It is a number in the range (0,1000). #' @param community.repulsion is a real. It indicates the repulsion force among network communities. It is a real number between 0 and 1. Default is \code{community.repulsion = 0.1}. #' @param stemming is logical. If it is TRUE the word (from titles or abstracts) will be stemmed (using the Porter's algorithm). diff --git a/R/csvScopus2df.R b/R/csvScopus2df.R index 7e994f1..6222468 100644 --- a/R/csvScopus2df.R +++ b/R/csvScopus2df.R @@ -29,6 +29,10 @@ csvScopus2df <- function(file){ DATA$AU=gsub("\\.", "", DATA$AU) DATA$AU=gsub(",", ";", DATA$AU) + ### store raw affiliation format to extract link among authors and affiliations + DATA$C1raw <- DATA$C1 + ### + # Affiliation if (!("C1" %in% names(DATA))){DATA$C1 <- NA}else{ DATA$C1 <- unlist(lapply(strsplit(DATA$C1,";"), function(l){ diff --git a/R/isi2df.R b/R/isi2df.R index 62735d5..7d6fee7 100644 --- a/R/isi2df.R +++ b/R/isi2df.R @@ -64,6 +64,10 @@ Please, take a look at the vignettes: df <- cbind(df1,df2) rm(df1,df2) + ### store raw affiliation format to extract link among authors and affiliations + df$C1raw <- df$C1 + ### + df$DB <- "ISI" # Authors diff --git a/R/normalizeCItationScore.R b/R/normalizeCItationScore.R index e530309..f76ac1e 100644 --- a/R/normalizeCItationScore.R +++ b/R/normalizeCItationScore.R @@ -18,7 +18,7 @@ #' @param impact.measure is a character. It indicates the impact measure used to rank cluster elements (documents, authors or sources). #' It can be \code{impact.measure = c("local", "global")}.\\ #' With \code{impact.measure = "local"}, \link{normalizeCitationScore} calculates elements impact using the Normalized Local Citation Score while -#' using code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact. +#' using \code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact. #' @return a dataframe. #' #' diff --git a/README.md b/README.md index 442c828..59239a7 100644 --- a/README.md +++ b/README.md @@ -120,23 +120,23 @@ Load `bibliometrix` ``` r library('bibliometrix') -#> To cite bibliometrix in publications, please use: +#> 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. -#> -#> -#> https://www.bibliometrix.org +#> 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 free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html) +#> 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 shiny web-interface, please digit: +#> To start with the Biblioshiny app, please digit: #> biblioshiny() ``` @@ -197,23 +197,22 @@ The argument *M* is a bibliographic data frame obtained by com <- missingData(M) com$mandatoryTags -#> tag description missing_counts missing_pct status -#> 1 AU Author 0 0.00 Excellent -#> 2 DT Document Type 0 0.00 Excellent -#> 3 SO Journal 0 0.00 Excellent -#> 4 LA Language 0 0.00 Excellent -#> 5 NR Number of Cited References 0 0.00 Excellent -#> 6 WC Science Categories 0 0.00 Excellent -#> 7 TI Title 0 0.00 Excellent -#> 8 TC Total Citation 0 0.00 Excellent -#> 9 CR Cited References 2 0.22 Good -#> 10 AB Abstract 7 0.78 Good -#> 11 PY Publication Year 9 1.00 Good -#> 12 RP Corresponding Author 10 1.11 Good -#> 13 C1 Affiliation 21 2.34 Good -#> 14 DI DOI 36 4.01 Good -#> 15 DE Keywords 79 8.80 Good -#> 16 ID Keywords Plus 97 10.80 Acceptable +#> tag description missing_counts missing_pct status +#> 1 AU Author 0 0.00 Excellent +#> 2 DT Document Type 0 0.00 Excellent +#> 3 SO Journal 0 0.00 Excellent +#> 4 LA Language 0 0.00 Excellent +#> 5 WC Science Categories 0 0.00 Excellent +#> 6 TI Title 0 0.00 Excellent +#> 7 TC Total Citation 0 0.00 Excellent +#> 8 CR Cited References 2 0.22 Good +#> 9 AB Abstract 7 0.78 Good +#> 10 PY Publication Year 9 1.00 Good +#> 11 RP Corresponding Author 10 1.11 Good +#> 12 C1 Affiliation 21 2.34 Good +#> 13 DI DOI 36 4.01 Good +#> 14 DE Keywords 79 8.80 Good +#> 15 ID Keywords Plus 97 10.80 Acceptable ``` **missingData** returns a list containing two data frame. The first one, diff --git a/man/couplingMap.Rd b/man/couplingMap.Rd index 935c61d..f860347 100644 --- a/man/couplingMap.Rd +++ b/man/couplingMap.Rd @@ -39,7 +39,7 @@ An n-gram is a contiguous sequence of n terms. The function can extract n-grams \item{impact.measure}{is a character. It indicates the impact measure used to rank cluster elements (documents, authors or sources). It can be \code{impact.measure = c("local", "global")}.\\ With \code{impact.measure = "local"}, \link{couplingMap} calculates elements impact using the Normalized Local Citation Score while -using code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact.} +using \code{impact.measure = "global"}, the function uses the Normalized Global Citation Score to measure elements impact.} \item{minfreq}{is a integer. It indicates the minimum frequency (per thousand) of a cluster. 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