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birddog

The goal of birddog is sniffing out emergence and trajectories in scientific and patent literature.

Installation

Install the stable version from CRAN:

install.packages("birddog")
library(birddog)

Or the development version from GitHub:

# install.packages("remotes")
remotes::install_github("roneyfraga/birddog")
library(birddog)

Features

Data import

• read_openalex() – OpenAlex API or CSV exports
• read_wos() – Web of Science BibTeX, RIS, plain-text, tab-delimited

Citation network and community detection

• sniff_network() – direct citation or bibliographic coupling networks
• sniff_components() – identify connected components
• sniff_groups() – community detection (fast greedy, Louvain, Leiden, walktrap, edge betweenness)

Group analysis

• sniff_groups_attributes() – group-level summary statistics and horizon plots
• sniff_groups_keywords() – keyword frequency per group
• sniff_groups_terms() – NLP-based phrase extraction
• sniff_groups_hubs() – hub classification (Zi-Pi, Guimera and Amaral
• sniff_groups_cumulative_citations() – per-document citation growth

Indexes

• sniff_citations_cycle_time() – measures the pace of change (Kayal
• sniff_entropy() – normalized Shannon entropy for keyword diversity (Shannon 1948; Pielou 1966)

Trajectories

• sniff_groups_cumulative() – cumulative clusterization over time
• sniff_groups_trajectories() – Jaccard similarity DAG across years
• plot_group_trajectories_2d() / plot_group_trajectories_3d() – node-based trajectory plots
• detect_main_trajectories() – top-N disjoint paths via dynamic programming
• filter_trajectories() – filter and rank detected trajectories
• plot_group_trajectories_lines_2d() / plot_group_trajectories_lines_3d() – variable-width line plots

Main path analysis

• sniff_key_route() – key-route search (Liu and Lu 2012) with SPC weights

Topic modeling

• sniff_groups_stm_prepare() / sniff_groups_stm_run() – structural topic modeling within groups

Vignettes

The vignettes are available online here:

• https://roneyfraga.com/birddog/articles/introduction_birddog.html
• Interactive presentation (biogas)

Methodological workflow

Main publications

• Miranda et al. (2025) The Landscape of Green and Biohydrogen Technology: A Data-Driven Exploration Using Non-Supervised Methods
• Felizardo et al. (2025) Transforming Wastes into Resources: Innovations in Cotton Biorefineries for a Sustainable Future
• Biazatti et al. (2024) Soybean biorefinery and technological forecasts based on a bibliometric analysis and network mapping
• Maria et al. (2023) Evolution of Green Finance: A Bibliometric Analysis through Complex Networks and Machine Learning
• Matos et al. (2023) Building and evaluating prospective scenarios for corn-based biorefineries
• Souza et al. (2022) Is entrepreneurship an emerging area of research? A computational response
• Souza et al. (2022) Bioenergy research in Brazil: A bibliometric evaluation of the BIOEN Research Program

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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