Bibliometrics (12): Introduction to the Bibliometrix package of R
Welcome everyone to a tutorial on how to use peoplemetrics our package for bibliometric and co-citation analysis. My name is Eric on my research fellow at the University. A leader today. I'll show you guys how to install and run the bibliometrics package for your analysis before we begin. There's a website all the resources you need which is peoplemetrics or it contains the links to the programs. You can install and several guys onto how to use the paper matrix package but I'll show you through the video on how to do it exactly first you need to install R and R studio so you can go to these links. Click and make sure you select your appropriate version after you've installed our studio the second step would be to have your sample file ready from your either web of science or Scopus database but I'll be working with web of science database and make sure it is a blue matrix type file you can also do with the plain text but I'll show you how to use the big mometrix file big file so if you do have RC to install and ready and I can show you how our studio works. It's the interface it's the console area where you put in your codes and commands. This is the environment where you put your get your output files for the files you can work with and these are some helpful boxes which can guide you for your package usage so the first thing you have to do is make sure. Click on the console. Then you can type install. We want to install packages as our command inside the paranthesis you want to have brackets and type with the metrics bibliometrics and press. Enter so now. Our studio will install the package for you all the required files and what's needed for using the bibliometrics package. But it might take a while so you might grab it coffee or tea or come back when it's ready and then can use the package so after the packages has been successfully installed that is when you will read the development download better no packages are in etc. That's when you've been fermenting. This package is now ready so now we can start to begin using the package so there's two ways to all you need to first open the package.
Make sure it's now ready to use. Its two ways you can. You can go to the packages tab on the right-hand side click on bibliometrics. And you'll see it has an allow load of the library. You see or you can also do the command library library command which is library and you select bibliometrics. It will be the same now usually when you do load your library. Your biometrics package. You will automatically open. What's what's called the source file for running the commands but if in case it doesn't don't worry. I'll show you how to manually open the source file that you can work with you. Click on file open file and you need to go to your directory for where your packages are which is usually on your user documents and our click on win library 3.40 parametric's and you select doc. So if you're in a bigger matrix folder you go to your user and documents our main library 3.4 bibliometrics. Then doc you see you have something called. Bieber metrics vignette select the one which says our file peoplemetrics vignette our and this is basically your recipe for using the package and this contains all the useful codes for you to Babloo metric and co-citation analysis. And i'll show you how to work through this recipe so the first line is obviously loading your package which we have done second command we need to do is to load the data. We need to use the sample file. We got from the web of science database and should be in the text format so locate your file so if it's in your desktop or in a specific folder it depends on when your file is but in my case. It's my desktop so I will go to my file. I'll just move them for convenience put in documents so my files are in my documents and it's important as well is to make sure that the dashes are the default dashes which is from bottom left to up right. Otherwise they can't see the line would work it can only work on one type of - so.
I have two files. I'll show you how to actually combine multiple files if you do have so but for now. I'll show you how to use one so you find your file in my case it's in my documents so I have two files here and a quick way to see your path which is just simply if you use Windows check your pathing by clicking on this here and you see that it's in my users PC name and the Documents folder so after you have successfully found where your file is then you can click run or ctrl enter. So let's click run just moments you need to also specify the type file so you should be saying the file what is called and then the type file so it's a bit file and you see now. I was successful and we got some values in the environment so that means it was correct but this has to be converted so that the RC who can actually use the sample so there's a converting command and this is where you're just where you got your sample file from well it's a is a web of science or Scopus and which format in our case it is from ISI and is a big big file or bibtex file so this should be not changed but in case you do have a plain text file you need to write plain text but in my case it is a big text file so I don't need to worry and when you have done so you click run and you see now. We started to count some articles and we got some set of data here now. If you have multiple files then you need to. You can add an additional command. You can copy the path directory if they are in the same folder and then you can click run so now it combines two files together and it can convert them both together now. You'll see we get get more articles for extraction so in the case we have two or more. Just make sure you have separate lines for each of the files with their passing outline so now we have the articles extracted for the package ready. I'll show you now. The this is as long as this is correct. Then you you can do the rest of the commands by itself and you can do this by clicking source.
So when you click source it will run all these commands for you and present to you the outputs make sure it is set on plots so you can see the type of plots the package will give you so rocky quick source you'll see the our series starting to work working analyzing your sample starting to give you some nice plots and graphs which might may take a while but it gives you it starts to give you the the general citation information you want it defines some outputs per year it gives you coupling. Network Maps so yeah. I'll show you quickly kind of outputs you get but I do have to file so it might take a while to start analyzing all the different information. My samples have so after letting the package run for a while. It will give you several outputs but let's just start to see in the console one information my sample app because you will have some basic information citation information of your data so I can see how many articles I have my type of sources the journals. What type of keywords we appeared on the average citations per article amount of orders etc and it gives you a nice quick overview on your sample too and to confirm to see whether or not it's the relevant sample you're looking for. I can also look at the most relevant sources one of them is International Journal. Intercultural relations relevant keywords. It's a sample culture intelligence and global mindset and cross culture cross-cultural so it's expected they will be top keywords and yeah you also get some plots or simply graphs which they design for you trying to take you to the beginning to show you so yeah this is for instance if you want to look detailed on the plot you can click zoom and they will open it separately for you and you see my the key. Words that occur in the sample is a lot of culture intelligence but some new key words as you can see you can get a plot of most productive countries and etc so this shows you how to to use the vignette or in the arrested cooking recipe to get all these type of plots so have a look on them and in the next video.
I'll show you how to use specific co-citation function if you want to do called citation analysis so stay tuned.
Make sure it's now ready to use. Its two ways you can. You can go to the packages tab on the right-hand side click on bibliometrics. And you'll see it has an allow load of the library. You see or you can also do the command library library command which is library and you select bibliometrics. It will be the same now usually when you do load your library. Your biometrics package. You will automatically open. What's what's called the source file for running the commands but if in case it doesn't don't worry. I'll show you how to manually open the source file that you can work with you. Click on file open file and you need to go to your directory for where your packages are which is usually on your user documents and our click on win library 3.40 parametric's and you select doc. So if you're in a bigger matrix folder you go to your user and documents our main library 3.4 bibliometrics. Then doc you see you have something called. Bieber metrics vignette select the one which says our file peoplemetrics vignette our and this is basically your recipe for using the package and this contains all the useful codes for you to Babloo metric and co-citation analysis. And i'll show you how to work through this recipe so the first line is obviously loading your package which we have done second command we need to do is to load the data. We need to use the sample file. We got from the web of science database and should be in the text format so locate your file so if it's in your desktop or in a specific folder it depends on when your file is but in my case. It's my desktop so I will go to my file. I'll just move them for convenience put in documents so my files are in my documents and it's important as well is to make sure that the dashes are the default dashes which is from bottom left to up right. Otherwise they can't see the line would work it can only work on one type of - so.
I have two files. I'll show you how to actually combine multiple files if you do have so but for now. I'll show you how to use one so you find your file in my case it's in my documents so I have two files here and a quick way to see your path which is just simply if you use Windows check your pathing by clicking on this here and you see that it's in my users PC name and the Documents folder so after you have successfully found where your file is then you can click run or ctrl enter. So let's click run just moments you need to also specify the type file so you should be saying the file what is called and then the type file so it's a bit file and you see now. I was successful and we got some values in the environment so that means it was correct but this has to be converted so that the RC who can actually use the sample so there's a converting command and this is where you're just where you got your sample file from well it's a is a web of science or Scopus and which format in our case it is from ISI and is a big big file or bibtex file so this should be not changed but in case you do have a plain text file you need to write plain text but in my case it is a big text file so I don't need to worry and when you have done so you click run and you see now. We started to count some articles and we got some set of data here now. If you have multiple files then you need to. You can add an additional command. You can copy the path directory if they are in the same folder and then you can click run so now it combines two files together and it can convert them both together now. You'll see we get get more articles for extraction so in the case we have two or more. Just make sure you have separate lines for each of the files with their passing outline so now we have the articles extracted for the package ready. I'll show you now. The this is as long as this is correct. Then you you can do the rest of the commands by itself and you can do this by clicking source.
So when you click source it will run all these commands for you and present to you the outputs make sure it is set on plots so you can see the type of plots the package will give you so rocky quick source you'll see the our series starting to work working analyzing your sample starting to give you some nice plots and graphs which might may take a while but it gives you it starts to give you the the general citation information you want it defines some outputs per year it gives you coupling. Network Maps so yeah. I'll show you quickly kind of outputs you get but I do have to file so it might take a while to start analyzing all the different information. My samples have so after letting the package run for a while. It will give you several outputs but let's just start to see in the console one information my sample app because you will have some basic information citation information of your data so I can see how many articles I have my type of sources the journals. What type of keywords we appeared on the average citations per article amount of orders etc and it gives you a nice quick overview on your sample too and to confirm to see whether or not it's the relevant sample you're looking for. I can also look at the most relevant sources one of them is International Journal. Intercultural relations relevant keywords. It's a sample culture intelligence and global mindset and cross culture cross-cultural so it's expected they will be top keywords and yeah you also get some plots or simply graphs which they design for you trying to take you to the beginning to show you so yeah this is for instance if you want to look detailed on the plot you can click zoom and they will open it separately for you and you see my the key. Words that occur in the sample is a lot of culture intelligence but some new key words as you can see you can get a plot of most productive countries and etc so this shows you how to to use the vignette or in the arrested cooking recipe to get all these type of plots so have a look on them and in the next video.
I'll show you how to use specific co-citation function if you want to do called citation analysis so stay tuned.