#
citation-network
Here are 36 public repositories matching this topic...
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
science
journal
citation
citations
scopus
scientific
manuscript
scientometrics
coupling
co-occurence
citation-network
scholars
quantitative-analysis
correspondence-analysis
bibliometrics
co-authors
science-mapping
isi-web
co-word-analysis
bibliometric-analysis
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Mar 23, 2022 - R
This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.
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Mar 10, 2022 - JavaScript
Tools, datasets, Corpus and Venue Challenge for scholarly big data——Pick up scattered pearls
nlp
resources
knowledge-graph
datasets
citation-network
scholarly-big-data
current-task
academic-corpus
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Nov 22, 2021
Measuring the Evolution of a Scientific Field through Citation Frames
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Oct 5, 2018 - Jupyter Notebook
Scimeetr is an R package, and a shiny app that helps researchers introduce themselves into their scholarly literature. It contains a suit of function that let someone: load bibliometric data into R, make a map of peer reviewed papers by creating various networks, find research community, characterize the research communities, and generate reading list.
science
r
shiny
webapp
reading-list
r-package
scientific-publications
shinydashboard
citation-network
bibliometrics
citation-analysis
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Oct 29, 2018 - R
Asclepias broker
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Mar 4, 2022 - Python
A graph-based citation network for paper recommender engine
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Jan 26, 2021
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Feb 23, 2017 - Java
Find the citation network from patent data collected from 1976 to 2006.
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Aug 8, 2017 - Python
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Oct 3, 2019 - Python
A command line tool for querying and modeling citation networks from the Astrophysical Data System (ADS) in a format compatible with Gephi
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Nov 22, 2021 - Python
Citation network analysis using Microsoft Academic and 3d-force-graph
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Jun 16, 2021 - HTML
Graph that downloads patent citation data from USPTO's PatentsView API on-demand and stores it locally in an SQL database (and in memory) for fast access later.
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Sep 12, 2021 - Python
Conception of a Recommender Function for German Court Decisions based on Citation Networks.
nlp
machine-learning
german
graphs
word2vec
recommender-system
network-analysis
citation-network
legal-texts
legal-documents
legal-entity-identifier
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May 12, 2021 - Jupyter Notebook
A set of methods and model evaluation metrics for predicting links in an academic citation network using Apache Spark and Scala
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Nov 3, 2020 - Scala
DoConA (Document Content and Citation Analysis Pipeline) is an open source, configurable and extensible Python tool to analyse the level of agreement between the citation network of a set of textual documents and the textual similarity of these documents.
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Apr 13, 2021 - Python
Creates a citation network from biblatex or bibtex reference file and visualises the references between them. Uses the open citation API.
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Nov 23, 2020 - Python
Mapping Science
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Nov 17, 2017 - Python
The purpose of this project is to construct a ranking metric to evaluate academic papers and researchers using available data in citation network dataset.
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Jan 20, 2019 - Jupyter Notebook
machine-learning
ontology
nearest-neighbor-search
glove
ontology-search
citation-network
dblp-graph
node2vec
graph-embedding
dblp-dataset
fasttext-embeddings
universal-sentence-encoder
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May 15, 2020 - Jupyter Notebook
A systematic metadata harvesting workflow for analysing scientific networks
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Jan 20, 2021 - Python
Learning Plans from Academic Citation Networks
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May 3, 2018 - Python
Aim is to convert nodes and node attributes of the DBLP Citation graph to analyze graph specific trends. This objective entailed two tasks, recreating a search algorithm for sampling the neighborhood as per the Node2Vec algorithm and extract feature embeddings using the Word2Vec skip-gram architecture. The nodes (papers)are represented into a fixed size multi-space dimension that is capable of capturing closeness of two papers based on a mentioned metric. The final classification of groups is based on the feature embeddings, performed by the spectral clustering algorithm. The sense-making converts to a search based optimization problem as we built our model to maximize the probability of each node belonging to a neighborhood found depending on the likelihood of revisiting a node and of out-ward exploration.
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Jul 17, 2020 - Jupyter Notebook
Interactive citation network for geometric morphometric studies in archaeology.
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Apr 16, 2020
Link prediction in a citation network
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Mar 16, 2022 - Python
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Describe the bug
The
test_bibtexunit test with failing, with a cryptic tracebackScreenshots