Crandi

Github Mat Mueller Pyblionet

Leo Migdal
-
github mat mueller pyblionet

PyblioNet is a software tool for the creation, visualization and analysis of bibliometric networks based on Pybliometrics, NetworkX and VisJs. It combines a Python-based data collection tool that accesses the Scopus database with a browser-based visualization and analysis tool. It allows users to create networks of publication data based on citations, co-citations, shared authors, bibliographic coupling, and shared keywords. The first component is a python based data collection tool which downloads publication data from the Scopus database via Pybliometrics. Initial Scopus search is done by the user via advanced search query strings using the scopus search api. Based on this initial publication data, further information on cited and citing research are collected which e.g.

allows for computing bibliographic coupling and co-citation relationships for the initial publication data (using the scopus Abstract Retrieval API and scopus Search API). The publication data is then used to create a network where each publication is represented as a node in the network. Relationships are computed based on shared authors, citation analysis, bibliographic coupling, co-citation analysis, and shared keywords: The second component is a html / JavaScript analysis and visualisation tool building on the VisJs Package. In the network each node represents a publication. Each edge represents a relation between two publications.

Nodes’ positions are calculated via a force-directed or hierarchical layout algorithm. The analysis tool allows for filtering, and graphical analysis. Filtering can be done based on publication date, degree centrality or weight etc. Graphical analysis covers e.g. searching and highlighting nodes based on user input, community detection based on a louvain cluster detection method etc. Users can use PyblioNet by executing a Python file, which requires the installation of the libraries such as Pybliometrics, NetworkX, etc.

Alternatively, users can run the exe file, which includes all necessary libraries. For the first use, users need to enter a valid Scopus API key in order to access the database via Pybliometrics (see also here). After that, users can start by entering Scopus advanced search query strings. PyblioNet will display how many publications were found using the search query and ask the user if they want to continue. If so, the user can continue with a standard setting, or with an advanced mode where the user can decide on the following settings: There was an error while loading.

Please reload this page. This project has not set up a SECURITY.md file yet. Innovation, Innovation Policy, Knowledge Creation,Knowledge Transfer,Technology & Innovation,Economics of Innovation, Innovation Economics, Entrepreneurship, Innovation Management,Innovation Studies, Open Innovation, Organizational Learning, Business Model Innovation,Regional Innovation Systems, Innovation Network, Innovation Systems, Agent Based Modeling,Agent-Based Simulation, Knowledge... Regional inclusive biobased entrepreneurship solutions (RIBES)Project acquisition, project coordination Horizon Europe project which address the need to enhance the uptake of biobased innovations through pioneering governance and business models developed on the convergence of the circular bioeconomy, social innovation and rural development, thus... Responsible innovation for the energy transition (V4InnovatE)

Project acquisition, project coordination There was an error while loading. Please reload this page.

People Also Search

PyblioNet Is A Software Tool For The Creation, Visualization And

PyblioNet is a software tool for the creation, visualization and analysis of bibliometric networks based on Pybliometrics, NetworkX and VisJs. It combines a Python-based data collection tool that accesses the Scopus database with a browser-based visualization and analysis tool. It allows users to create networks of publication data based on citations, co-citations, shared authors, bibliographic co...

Allows For Computing Bibliographic Coupling And Co-citation Relationships For The

allows for computing bibliographic coupling and co-citation relationships for the initial publication data (using the scopus Abstract Retrieval API and scopus Search API). The publication data is then used to create a network where each publication is represented as a node in the network. Relationships are computed based on shared authors, citation analysis, bibliographic coupling, co-citation ana...

Nodes’ Positions Are Calculated Via A Force-directed Or Hierarchical Layout

Nodes’ positions are calculated via a force-directed or hierarchical layout algorithm. The analysis tool allows for filtering, and graphical analysis. Filtering can be done based on publication date, degree centrality or weight etc. Graphical analysis covers e.g. searching and highlighting nodes based on user input, community detection based on a louvain cluster detection method etc. Users can use...

Alternatively, Users Can Run The Exe File, Which Includes All

Alternatively, users can run the exe file, which includes all necessary libraries. For the first use, users need to enter a valid Scopus API key in order to access the database via Pybliometrics (see also here). After that, users can start by entering Scopus advanced search query strings. PyblioNet will display how many publications were found using the search query and ask the user if they want t...

Please Reload This Page. This Project Has Not Set Up

Please reload this page. This project has not set up a SECURITY.md file yet. Innovation, Innovation Policy, Knowledge Creation,Knowledge Transfer,Technology & Innovation,Economics of Innovation, Innovation Economics, Entrepreneurship, Innovation Management,Innovation Studies, Open Innovation, Organizational Learning, Business Model Innovation,Regional Innovation Systems, Innovation Network, Innova...