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    People in social networks

    Rumours / Social Contagion

    Watch a rumour spread through a social network. Some people repeat it, some ignore it, and some alter it, so the pattern is both transmission and mutation.

    Watch a claim move through a network

    Watch an abstract rumour pass between connected people. Trust, novelty, repeated exposure, and skepticism shape whether each person ignores it, hears it, repeats it, or changes it.

    Rumours vs memes: Rumours model whether a claim spreads through a network. Memes go further: they are copied, mutated, remixed, selected, and sometimes forgotten.

    What to watch: warm pulses carry retellings along links, blue nodes resist, and purple nodes mark altered versions that emerge as the rumour is repeated.

    Explanatory notes

    • A rumour does not spread only because it is true; it spreads when it is repeatable, salient, or socially useful.
    • Trust links matter: the same claim can travel differently depending on who carries it.
    • Repeated exposure can amplify confidence even when the content is uncertain.
    • As the message moves, details may be simplified, exaggerated, or adapted for the next audience.

    Observe

    A claim moves from person to person, gaining or losing strength as trust, novelty, emotion, and repetition shape whether it is passed on.

    Controls

    Rumour view

    Begin with a few seeded repeaters. The claim spreads only when local trust, novelty, and repeated exposure overcome each node's resistance.

    Explore the spread

    The exhibit is abstract: nodes are people, lines are social links, and moving pulses are retellings rather than statements about truth.

    Trust opens paths
    Stronger links make a neighbour more likely to accept and repeat the claim.
    Novelty adds pull
    A more interesting claim is retold more often, especially while it still feels fresh.
    Exposure reinforces
    Repeated contact can turn hearing into repeating, even when the first contact was weak.
    Skepticism blocks
    Resistant nodes dampen the rumour and help the network settle.
    Visual overlays

    Show or hide extra reading cues in the network.

    Advanced tuning

    Applications

    • Misinformation analysis
    • Public communication
    • Risk messaging
    • Social network modelling

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