Useful commands or R Markdown Cheat Sheet

Ignacio et al. (2022) Banyard, Hamby, and Grych (2017) Cai et al. (2024) Cano et al. (2020) Cromer et al. (2019) Hong et al. (2018) Ferber and Weller (2022) Callaghan et al. (2019) Chan et al. (2023) Weidacker et al. (2022) Hirshfeld-Becker et al. (2019) Gur et al. (2020) Bram, Gottschalk, and Leeds (2018) Wymbs et al. (2020) Bernstein and McNally (2018) Gildawie, Honeycutt, and Brenhouse (2020) Kuhlman et al. (2023) Kayser et al. (2019) Dvorsky et al. (2019) Kirby et al. (2022) Murphy et al. (2017) Carter, Powers, and Bradley (2020) Ramaiya et al. (2018) Sendzik et al. (2017) Wu, Slesnick, and Murnan (2018) Cornwell et al. (2024) Skinner et al. (2020) Gibbons and Bouldin (2019) Rodman et al. (2019) Higheagle Strong et al. (2020) McRae et al. (2017) Martinez Jr et al. (2022) Vannucci et al. (2019) Noroña-Zhou and Tung (2021) Motsan, Yirmiya, and Feldman (2022) Rich et al. (2019) Krause et al. (2018) Sui et al. (2020) Grych et al. (2020) Vega-Torres et al. (2020) Kliewer and Parham (2019) Griffith, Farrell-Rosen, and Hankin (2023) Siciliano et al. (2023) White et al. (2021) Bettis et al. (2019) Rudolph et al. (2024) Linke et al. (2020) Cornwell et al. (2023) Criss et al. (2017) Koban et al. (2017) Kashdan et al. (2020) Priel et al. (2020) Hannan et al. (2017) Malberg (2023) Tang, Tang, and Gross (2019) Caceres et al. (2024) Gupta, Dickey, and Kujawa (2022) Gee (2022) Khahra et al. (2024) Szoko et al. (2023) Barzilay et al. (2020) Jiang, Paley, and Shi (2022) Xiao et al. (2019) Finkelstein-Fox, Park, and Riley (2018) Sevinc et al. (2019) Blair et al. (2018) Buthmann et al. (2024) Schäfer et al. (2017) Smith and Jen’nan (2024) explored research focusing on various populations and areas to find the effects of several factors like living experience, environment, physical and mental health, and their relationship of emotion regulation and resilience development.

1 Steps for first deliverable

This is where the steps go

a<-read.csv("/Users/jinzeyang/Desktop/Fall 2024/Social Networks Analysis/A_Delieverables/US emotion regulation.csv")

authors<-as.data.frame(a[,2])
colnames(authors)<-"AU"
authors$AU <- gsub("\\[.*?\\]|\\(.*?\\)", "", authors$AU) #delete ID numbers

#package for first split
# install.packages("splitstackshape")
library(splitstackshape)

a1<-cSplit(authors, splitCols = "AU", sep = ";", direction = "wide", drop = FALSE)
#Here we just drop the original first column
a1<-a1[,-1]

#read it as a matrix
mat <- as.matrix(a1)
mat<-tolower(mat) #make all information lowercase
dim(mat)# the resulting column dimension is the number of times you will have to repeat the following procedure minus 1
## [1] 70 16
a1<-mat
edgelist1<-matrix(NA, 1, 2)#empty matrix two columns
for (i in 1:(ncol(a1)-1)) {
  edgelist17 <- cbind(a1[, i], c(a1[, -c(1:i)]))
  edgelist1 <- rbind(edgelist1,edgelist17)
  edgelist1<-edgelist1[!is.na(edgelist1[,2]),]
  edgelist1<-edgelist1[edgelist1[,2]!="",]
}
dim(edgelist1)
## [1] 1360    2
#deliverale 1 part 2: co-authorship network
library(igraph)
## 
## Attaching package: 'igraph'
## The following objects are masked from 'package:stats':
## 
##     decompose, spectrum
## The following object is masked from 'package:base':
## 
##     union
plot(graph.edgelist(edgelist1))

g<-graph_from_data_frame(edgelist1, directed = FALSE)
g
## IGRAPH 034a980 UN-- 376 1360 -- 
## + attr: name (v/c)
## + edges from 034a980 (vertex names):
##  [1] ignacio, daniel andre    --emick-seibert, jessica 
##  [2] banyard, victoria        --hamby, sherry          
##  [3] cai, yuqing              --she, xinshu            
##  [4] cano, miguel ángel       --castro, felipe gonzález
##  [5] cromer, kelly d          --d'agostino, emily m    
##  [6] hong, fang               --tarullo, amanda r.     
##  [7] ferber, sari goldstein   --weller, aron           
##  [8] callaghan, bridget l.    --gee, dylan g.          
## + ... omitted several edges
#part 3: most prolific
E(g)$weight <- 1 
g.c <- simplify(g)

links<-as.data.frame(cbind(as_edgelist(g.c), E(g.c)$weight))
dim(links)
## [1] 1270    3
links$V3<-as.numeric(links$V3)
str(links)
## 'data.frame':    1270 obs. of  3 variables:
##  $ V1: chr  "ignacio, daniel andre" "ignacio, daniel andre" "ignacio, daniel andre" "ignacio, daniel andre" ...
##  $ V2: chr  "emick-seibert, jessica" "serpas, dylan g." "fernandez, yuliana stacy" "bargotra, sonali" ...
##  $ V3: num  1 1 1 1 1 2 2 1 1 1 ...
links<- links[order(links$V3, decreasing=T),]
head(links,20)
##                       V1                              V2 V3
## 6      banyard, victoria                     grych, john  2
## 7      banyard, victoria                   hamby, sherry  2
## 67        gur, raquel e.                   barzilay, ran  2
## 68        gur, raquel e.                white, lauren k.  2
## 69        gur, raquel e.                 moore, tyler m.  2
## 145    cornwell, harriet                  toschi, nicola  2
## 146    cornwell, harriet hamilton-giachritsis, catherine  2
## 147    cornwell, harriet              staginnus, marlene  2
## 148    cornwell, harriet                 smaragdi, areti  2
## 149    cornwell, harriet         gonzalez-madruga, karen  2
## 151    cornwell, harriet                    rogers, jack  2
## 152    cornwell, harriet                martinelli, anne  2
## 153    cornwell, harriet                   kohls, gregor  2
## 154    cornwell, harriet             raschle, nora maria  2
## 155    cornwell, harriet                 konrad, kerstin  2
## 156    cornwell, harriet              stadler, christina  2
## 161    cornwell, harriet               fairchild, graeme  2
## 209          grych, john                   hamby, sherry  2
## 245 bettis, alexandra h.                compas, bruce e.  2
## 295        barzilay, ran                white, lauren k.  2

2 Please explain the dataset used indicating the time frame, the topic and other inclusion criteria like type of publication.

2.1 The topic:

Answer: The topic I chose focuses on psychology papers related to adolescent emotion regulation and resilience development. I have noticed that research in emotion regulation is relatively limited, especially studies focusing on adolescents. This sparked my curiosity about how many researchers are actively contributing to this field, their recent findings, and how they collaborate with one another.

2.2 The time span:

Answer: I selected recent papers published between 2017 and 2024. This time span allows me to focus on new and relevant findings. I am particularly interested in recent empirical research, as older studies might rely on outdated data. By focusing on this period, I can explore the latest information and updated methods in adolescent emotion regulation.

2.3 Type of publication (journal article, conference papers, book chapters or all types) mentioning also why you selected this topic.

Answer: I chose journal articles exclusively because they are peer-reviewed, ensuring the validity and reliability of their data and results. Additionally, journal articles help identify key authors in the field and provide insight into their recent findings, offering a comprehensive overview of the research landscape.

2.4 Create a co-authorship network wherein all relationships among coauthors are established. After this, describe the network, how many authors are represented, how many connections are in this network?

Answer: The network is represented in a undirected graph with 376 nodes and 1360 edges. My co-authorship network includes 376 authors and 1,360 connections.

2.5 Who are the top five most prolific co-authors? What are they publishing about?

Answer: The top five most prolific co-authors are: Banyard, Victoria; Grych, John; Hamby, Sherry; Gur, Raquel E.; and Barzilay, Ran.

They are top five authors at least write 2 papers, as the dataset represents more than five authors in the highest two-paper level. They are first five in authors list who write 2 papers.

Banyard, Victoria: Her publications focus on resilience and protective factors like emotion regulation, social support, and meaning-making, which are associated with better physical health outcomes in individuals exposed to childhood adversity. Her work underscores the importance of early family-focused interventions to enhance resilience.

Grych, John: Grych studies coping mechanisms and family dynamics, emphasizing how childhood adversity impacts psychological health and resilience. His research highlights strategies to foster resilience and well-being in children facing adverse conditions.

Hamby, Sherry: Hamby’s work explores how protective factors like forgiveness, community support, and meaning-making promote resilience and health-related quality of life, even under significant adversity such as childhood victimization and financial strain.

Gur, Raquel E.: Gur investigates the neurobiological foundations of resilience, demonstrating how resilience is associated with gray matter volume in brain regions responsible for executive functioning and emotion regulation, while also identifying sex differences in these associations.

Barzilay, Ran: Barzilay’s research focuses on resilience during crises, such as the COVID-19 pandemic, showing how resilience mitigates anxiety and depression and promotes mental health during challenging times. His work also addresses the role of racial disparities in resilience development.

2.6 Why would be challenging to talk about most prolific authors?

Answer: Focusing on the most prolific authors is challenging because this analysis emphasizes co-authors, excluding solo authors. Solo authors may also be highly prolific, but they are not represented in the co-authorship network since they do not have collaborative connections with other authors. This creates a limitation in recognizing significant contributors who work independently.

References

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Bernstein, Emily E, and Richard J McNally. 2018. “Exercise as a Buffer Against Difficulties with Emotion Regulation: A Pathway to Emotional Wellbeing.” Behaviour Research and Therapy 109: 29–36.
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