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توضیحات

Visualize citation and reference networks in 3D.

ویژگی	مقدار
سیستم عامل	-
نام فایل	citationnet-1.0.0
نام	citationnet
نسخه کتابخانه	1.0.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Malte Vogl
ایمیل نویسنده	mvogl@mpiwg-berlin.mpg.de
آدرس صفحه اصلی	https://gitlab.gwdg.de/modelsen/citationnet
آدرس اینترنتی	https://pypi.org/project/citationnet/
مجوز	-

A Flask app to generate and display reference and citation traces of a single publication using [Dimensions Analytics](https://app.dimensions.ai). Documentation is available on [ReadTheDocs](https://citationnet.readthedocs.io/). # Installation tl;dr Use pip ~~~bash pip install citationnet ~~~ Consider using a clean virtual environment to keep your main packages separated. Create a new virtual environment and install the package ~~~bash python3 -m venv env source env/bin/activate pip install citationnet ~~~ # Run the app To run the app activate the virtual environment, export the app name and run Flask ~~~bash source env/bin/activate export FLASK_APP=citationnet flask run ~~~ Now open the adress [http://127.0.0.1:5000](http://127.0.0.1:5000) in your browser and start exploring. To close the app, press `CTRL C` in the terminal and close it (on Linux). # Using the interface The button _Usage_ toggles an explanation of the visual representation of the citation network. ## First query Before running the first query, you will need to provide an access token for Dimensions Analytics by selecting _Enter Dimensions Analytics token_ in the interface. If you previously have used the Dimensions Analytics query language [_dimcli_](https://github.com/digital-science/dimcli) and setup a [personal credential file](https://api-lab.dimensions.ai/cookbooks/1-getting-started/1-Using-the-Dimcli-library-to-query-the-API.html#More-secure-method:-storing-a-private-credentials-file), you can leave this field empty. To run a query, enter a DOI and press the submit button. For very highly cited papers, the query time is to long. By default there is therefore a limit on the number of citations for the source publication and all other citations (100 citations). The default value can be changed to at most 500 citations. The end of data generation is signaled by a success message stating the filename and runtime. ## Repeated querying The token is saved in the session cookie and re-used for the next queries. After closing the browser you will need to re-enter the token. Query results are saved as JSON files in the media folder of the installed Flask package and can be accessed using the search input field at the navigation bar. # Visual representation The inital graph is viewed from the side with the requested publication placed in the center of the screen, shown in red. Time ranges from bottom to top, such that newer publications are above the center and older ones below. If viewed from above nodes, farer away from the center have more citations. Hover over a node to show DOI, year of publishing, fields of research and the number of citations according to Dimensions. Click a node to open the publication using it's DOI. Click and drag inside the window to rotate the graph. Right-click and drag inside the window to move. Scroll inside the window to zoom in or out. The menu button right next to the sidebar opens and closes the sidebar, which allows controlling the perspective (side or top), node and edge options as well as some basic layout options (cylinder radius, citation value of outer radius, and spacing around input node). # Testing Tests can be run by installing the _dev_ requirements and running `tox`. ~~~bash pip install citationnet[dev] tox ~~~ ## Building documentation The documentation is build using _sphinx_. Install with the _dev_ option and run ~~~bash pip install citationnet[dev] tox -e docs ~~~ # Funding information The development is part of the research project [ModelSEN](https://modelsen.mpiwg-berlin.mpg.de) > Socio-epistemic networks: Modelling Historical Knowledge Processes, in Department I of the Max Planck Institute for the History of Science and funded by the Federal Ministry of Education and Research, Germany (Grant No. 01 UG2131).

نیازمندی

مقدار	نام
-	flask[async]
-	requests
>=0.1.5	semanticlayertools
-	dimcli
-	twine
-	tox
-	sphinx

زبان مورد نیاز

مقدار	نام
>=3.8	Python

نحوه نصب

نصب پکیج whl citationnet-1.0.0:

pip install citationnet-1.0.0.whl

نصب پکیج tar.gz citationnet-1.0.0:

pip install citationnet-1.0.0.tar.gz