[ACL 2025] Multi-Agent System for Science of Science
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Updated
Jul 26, 2025 - Python
[ACL 2025] Multi-Agent System for Science of Science
[ACL 2025] Multi-Agent System for Science of Science
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)
Index of open source code for OpenAlex---an open, comprehensive catalog of scholarship, connecting papers, authors, institutions, and journals.
A simple python script for parsing DBLP dataset
Multi-Agent System for Science of Science
[NAACL 2024] Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers https://arxiv.org/abs/2307.10700
Official implementation of the paper "CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature"
This repository contains code accompanying paper titled "Gender inequality and self-publication are common among academic editors", in Nat. Hum. Behav. (2023), https://doi.org/10.1038/s41562-022-01498-1
Official code repositiory for the paper "Collaboration and Topic Switches in Science"
Open-source research tool for browsing suggested questions in economics from the literature.
Science mapping tool using Dimensions and Google BigQuery.
Topic Modeling and Visualization Framework
Portable end-to-end skill pack for Web of Science bibliometric processing, topic modeling, mobility analysis, visualization, and deep-report generation.
A framework to analyze, visualize abd predict scientific trends
Stable public software record for SciNetX with citation, publication, and access information
A diachronic lexicon of academic phrases from 2.84M arXiv papers (1991–2025): 35 yearly snapshots, byte-for-byte reproducible. Built on top of it: G(A,B) concept conductance (AUC 0.848–0.870) and per-year concept-network visualization. Core pipeline runs offline.
Discover the hidden costs behind publishing your research. Estimates how much an academic author, institution, or funder has spent on publication fees, including the % of for profit publishers. Contributions welcome!
Code for "Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling" (CIKM 2022)
MLKN.lab — Multi-Layered Knowledge Network Ideas Laboratory — MLKN.lab is a computational metascience initiative dedicated to mapping, modeling, and quantifying the epistemic topology of global scientific discovery.
To associate your repository with the science-of-science topic, visit your repo's landing page and select "manage topics."