NETSCI OBSERVATORY

ABOUT THE READING LIST

How we choose papers

September 2026 · Updated 4 October 2026

Scope

This list follows the structure, formation and evolution of complex networks, and the dynamics and collective behavior arising from interactions. It includes theoretical, methodological and empirical research.

The main research questions include:

Studies of specific systems qualify when their main results directly address these questions or provide network-science theory or methods applicable to other systems. Using network measures, graph models or neural networks solely for domain analysis or prediction is insufficient. General nonlinear dynamics research must have a clear connection to network structure or the organization of interactions.

Journals and dates

This site lists network-science papers from the thirteen journals below. Spotlight contains included papers from the nine Spotlight journals, with the latest six shown on the homepage. The full list includes papers from all thirteen journals. These groups indicate where papers are displayed, not a quality ranking; the same inclusion criteria apply to both.

Spotlight journals

Other included journals

Dates prioritize first online publication. Officially accepted manuscripts awaiting publication are marked separately and shown by acceptance date. Preprints are excluded.

Current coverage: 1–30 September 2026. Date filters are relative to the data cutoff, 30 September 2026.

Selection basis

Candidates come from journal records, compared with publisher directories. Selection is based mainly on abstracts and necessary bibliographic information, with AI assistance and scope questions referred to the maintainer. Relevant reviews, perspectives and scientific commentaries may also be included, with their article type identified.

For ordinary research, a matched explicit abstract can establish the research nature even when the exact publisher subtype is unavailable. This does not constitute official confirmation of an Article or Letter label; only evidenced special types are marked separately.

Each reading note summarizes the paper's question, main result or method and its connection to network science. Notes are usually based on abstracts; use of an Abstract excerpt or online reading of a short commentary without an abstract is identified in the details. Notes do not rate paper quality or constitute full-text review.

Sources and limitations

Bibliographic data come from Crossref and publisher pages; abstract evidence may also come from OpenAlex. The site displays bibliographic information, short reading notes and links to the papers. It does not reproduce full abstracts or article text.

This list supports literature discovery and does not guarantee coverage of every paper within its scope.