John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

Social Network Collapse: What Simulations Reveal

The sim­u­la­tions keep point­ing to the same end­point: polar­iza­tion, elite cap­ture, extrem­ists clus­ter­ing at the edges, then vio­lent col­lapse. When mul­ti­ple mod­els built on dif­fer­ent assump­tions reach iden­ti­cal con­clu­sions, you have a sig­nal worth heed­ing, and a choice to make about where you place your effort.

The pattern behind the noise

Yes­ter­day I read Pro­fes­sor Michael Peters’ sum­ma­ry of mul­ti­ple social net­work sim­u­la­tions, some built on human inter­ac­tion, oth­ers dri­ven by AI agents tuned to our same pri­or­i­ties: likes, shares, and reac­tions. Dif­fer­ent vari­ables, dif­fer­ent assump­tions, repeat­ing result. Polar­iza­tion. Elites ris­ing to the top. Extrem­ists clus­ter­ing at the edges. Vio­lent col­lapse.

The para­me­ters shift­ed, but the road bent toward chaos regard­less. You can feel it in the feed and read it in the head­lines. The names change; the pat­tern holds. The trace remains con­sis­tent: incen­tives that reward heat over light push us into brit­tle fac­tions, then toward a break.

I treat this less as prophe­cy than diag­no­sis. Mod­els can be wrong in detail, but when the same shape keeps appear­ing across approach­es, the pat­tern deserves atten­tion. In cog­ni­tive terms, this rep­re­sents an oper­at­ing-sys­tem issue, not a sin­gle-app bug. If your think­ing archi­tec­ture pays out for speed and out­rage, you will get more speed and out­rage. That con­sti­tutes the whole deal.

Collapse is a signal, not a fate

Col­lapse reads like des­tiny when we stare at the curve of the mod­el. But it func­tions bet­ter as feed­back: the sys­tem per­forms to spec, and the spec is flawed. That rep­re­sents the scar les­son. This also becomes a turn­ing point if we let it be.

Reac­tion-dri­ven net­works opti­mize for momen­tary atten­tion. Humans need durable trust. Those two func­tions live on dif­fer­ent clocks. The first rewards nov­el­ty and esca­la­tion. The sec­ond rewards con­ti­nu­ity and reci­procity. Con­fuse them and you burn your social cap­i­tal to keep today’s graph up.

Struc­tured cog­ni­tion helps here. Change the rule set, change the tra­jec­to­ry.

If we design our per­son­al and com­mu­nal oper­at­ing sys­tems to empha­size reci­procity, shared con­straints, and embod­ied out­comes, we build buffers against the spi­ral. Metacog­ni­tive sov­er­eign­ty, own­ing how you allo­cate atten­tion, with whom, and toward what end, becomes a prac­ti­cal stance, not a slo­gan.

So take the sig­nal seri­ous­ly. But treat it as design guid­ance, not doom.

What life-based systems do differently

Life grows its way to coher­ence rather than argu­ing its way there. Forests orga­nize around reci­procity and sym­bio­sis. Water moves, slows, sinks, and feeds. Diver­si­ty makes the whole sys­tem resilient, not just the brochure. These are design cues, not metaphors.

Life-ground­ed social sys­tems fol­low sim­i­lar rules:

  • Reci­procity over extrac­tion. Give and take sta­bi­lize the loop. Pure take col­laps­es it.
  • Sym­bio­sis over zero-sum. Mutu­al ben­e­fit com­pounds; com­pe­ti­tion alone exhausts.
  • Diver­si­ty over mono­cul­ture. Many roles, many paths, redun­dan­cy keeps the sys­tem breath­ing.
  • Local embod­i­ment over abstract sen­ti­ment. Out­comes you can touch beat sig­nals you can scroll.

Dig­i­tal net­works built on reac­tion and com­pe­ti­tion do the oppo­site: extract atten­tion, mon­e­tize con­flict, cen­tral­ize con­trol, and weak­en redun­dan­cy. The col­lapse in the sim­u­la­tions sur­pris­es no one; it remains con­sis­tent with their reward struc­tures. By con­trast, life-based sys­tems deliv­er abun­dance because their incen­tives line up with regen­er­a­tion.

Call this cog­ni­tive design if you like, choos­ing prin­ci­ples that stack the deck toward health. This rep­re­sents a prac­ti­cal frame­work you can test with your hands in the soil and your feet in water.

Move the work to the ground

If plat­forms and pol­i­tics ampli­fy the reac­tive, our work belongs else­where. On land. In water. In cir­cles of trust. In fam­i­lies and com­mu­ni­ties will­ing to mod­el anoth­er way of being.

This rep­re­sents repo­si­tion­ing, not retreat, plac­ing effort where lever­age is high­est and dis­tor­tion is low­est. Plant­i­ng forests is slow pow­er. Draw­ing life back into the land through care­ful water work is slow pow­er. Build­ing local resilience is slow pow­er. But slow pow­er endures.

The prac­tices are plain:

  • In the soil, plant­i­ng toward diver­si­ty instead of uni­form yield. Trees, under­sto­ry, ground­cov­er, edges that invite life back in.
  • In the water, read­ing the ter­rain, slow­ing flows, and guid­ing them to sink where roots can reach.
  • In cir­cles of trust, hold­ing real com­mit­ments: shared labor, shared risk, shared har­vest.
  • In fam­i­lies and com­mu­ni­ties, mod­el­ing steady con­duct that needs no feed to exist.

I write from a place where rur­al band­width drops mid-call and the weath­er writes the day’s plan. That con­straint helps. When the feed hitch­es, the spade does not. Stones placed. Water flow­ing. Plants grow­ing. No sim­u­la­tion cap­tures how it feels to stand on liv­ing earth and know you are part of it.

Treat this as field notes, not man­i­festo. Start with what you have: a yard, a verge, a shared plot, a bal­cony with con­tain­ers.

Pull in a neigh­bor. Build a small cir­cle. Make the small­est promise you can keep, then keep it. Qui­et dis­ci­pline com­piles.

Sovereignty in practice

Depen­dence is the chain, sov­er­eign­ty is the key. Not the lone-wolf kind. The root­ed kind. The sort that grows capac­i­ty with oth­ers and reduces your reliance on sys­tems that pay you in adren­a­line while deb­it­ing your future.

A few prac­ti­cal moves to start or strength­en that arc:

  • Audit your atten­tion. Map the loops that pull you into reac­tion. Replace one hour of feed with one hour of ground, plant­i­ng, repair­ing, teach­ing.
  • Build a quo­rum. Three to five peo­ple, trust­wor­thy, prox­i­mate. Clar­i­fy com­mit­ments. Set a cadence you can keep.
  • Choose one life project. A patch to restore, a water line to fix, a small for­est to nurse. Track progress by what lives, not by what trends.
  • Close the loop. Share yields, share skills, share fail­ures. School fees paid once become tuition for the cir­cle.
  • Pro­tect the edges. Lim­it extrac­tive demands. Keep your local sys­tems bor­ing­ly resilient, spares on a shelf, tools that match your ter­rain, roles that over­lap.

This rep­re­sents a CAM-like pos­ture with­out the labels: mis­sion clear enough to guide, vision hum­ble enough to adapt, strat­e­gy braid­ed with ordi­nary acts, tac­tics that leave traces you can revis­it. The think­ing archi­tec­ture is sim­ple: choose designs that reward reci­procity; mea­sure in life, not clicks.

I will not pre­tend any of this scales on a screen. That con­sti­tutes the point. Let the mod­els shout col­lapse. Let the head­line cycle con­firm it. Mean­while, we do the qui­et work that refus­es the spi­ral: renew­ing soil, remak­ing water paths, reweav­ing trust.

You can name this metacog­ni­tive sov­er­eign­ty if the lan­guage helps. You can also call it being human on pur­pose.

The sim­u­la­tions warn us where the road goes when we let reac­tion dri­ve. Good. That proves use­ful. Then we step off the tar and onto the path that holds. Not because it is easy, but because it is real. Because the for­est, the water, and the peo­ple beside us will out­last the feed.

Humans can point to life. That is the choice on the table, every ordi­nary day.

To trans­late this into action, here’s a prompt you can run with an AI assis­tant or in your own jour­nal.

Try this…

Replace one hour of social media scrolling today with one hour of ground work: plant­i­ng, repair­ing, or teach­ing some­one a prac­ti­cal skill.

About the author

John Deacon

An independent AI researcher and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.

Read more at bio.johndeacon.co.za or join the email list in the menu to receive one exclusive article each week.

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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