Background

About this site

Nessnet is a small reference site on complexity science and computational social science. It is written for people who want the argument and the caveats, not the press release.

Scope

Four themes, each with a hub page and a set of longer notes: complexity economics, agent-based modelling, social networks and data and society. The archive lists everything in one place.

How the notes are written

Each page is a synthesis of published research in its area, written to be readable without a background in the field. Where the literature is contested, the page says so and states which way the evidence leans rather than picking a side and presenting it as settled. Where a popular claim is weakly supported, the page says that too - several of the notes exist mainly to make that distinction.

The notes are edited under the site name rather than under individual bylines. Nothing here is presented as original research, and no page should be cited as a primary source: they are summaries and pointers, and the underlying literature is where the claims actually live.

What this site is not

It is not a research institute, a consortium or a project site, and it is not connected to any organisation that previously used this domain. It offers no advice, professional or otherwise.

Funding and links

The site carries no advertising and runs no tracking beyond what the web server logs by default. A small number of pages link to commercial sites where those sites are the relevant source for a market fact. Those links are ordinary links: nothing on this site is paid placement, and no page recommends buying anything.

Corrections

If something here is wrong, it is worth telling us. The contact page has the address. Corrections to substantive errors are made on the page itself rather than appended as a note.

The previous site

Between 2011 and 2015 this domain hosted an academic newsletter and event archive in the same broad field. That material belonged to its authors and is not reproduced here. The old addresses were mapped individually: those with a clear thematic successor redirect to it, and the rest return a clean “gone” response.