The dynamics of this is pretty well modeled by using the "forest fire" particle simulation. Basically about 80% of the human population needs to feel that others around have already come to a conclusion before they will conclude. This inserts huge delays on ideas (sometimes 30 to over 100 years).
The forest fire particle simulation (originally done in Starlogo) allows you to choose the ratio of forest to clearings and start a fire to see if it propagates. One of these models requires at least 66% connectivity before the fire will spread. Cheers, Alan ________________________________ From: Carlos Rabassa <[email protected]> To: squeakland.org mailing list <[email protected]>; [email protected]; Maho 2010 <[email protected]>; IAEP SugarLabs <[email protected]>; voluntarios y administradores OLPC para usuarios docentes <[email protected]>; olpc bolivia <[email protected]>; OLPC Puno <[email protected]> Sent: Sun, February 6, 2011 12:42:28 AM Subject: [IAEP] Etoys Particles/Partículas Challenge/Desafío English text follows the Spanish text Acabamos de leer este párrafo en un artículo de diario sobre por qué algunos mensajes de Twitter se propagan mucho y otros no: >> Resulta que la forma como se difunde la información [en los medios sociales] >> en >>línea es, frecuentemente, más complicada que transmisión viral. >Transmisión viral es el caso, por ejemplo, en que una persona envía un enlace >a >un video en YouTube directamente a otra persona. Mientras que lo que sucede >con >temas políticos, la gente usualmente espera hasta que cierto número de amigos >o >fuentes de confianza han promovido la idea, antes de promulgarla ellos. << El artículo completo: http://www.nytimes.com/2011/02/06/business/06stream.html?emc=tnt&tntemail0=y Sentimos podría ser un tema muy interesante para explicar con Etoys, usando el objeto "Partículas". "Partículas" se encuentra en la página "básico" del "Catálogo de Objetos" en "Provisiones". Carlos Rabassa Voluntario Red de Apoyo al Plan Ceibal Montevideo, Uruguay English text: We just read this paragraph in a newspaper article on why some Twitter posts catch on and some don´t: >> It turns out that the way information spreads online is often more >> complicated >>than viral transmission, in which one person passes a link to, say, a YouTube >>video directly to another person. As with political topics, people often wait >>until a number of friends or trusted sources have promoted an idea before >>promulgating it themselves. << The complete article: http://www.nytimes.com/2011/02/06/business/06stream.html?emc=tnt&tntemail0=y We feel it could be a very interesting subject to explain with Etoys, using the "Particles" object. "Partícles" is located in the "basic" page of the "Objects Catalog" in "Supplies". Carlos Rabassa Volunteer Plan Ceibal Support Network Montevideo, Uruguay
_______________________________________________ IAEP -- It's An Education Project (not a laptop project!) [email protected] http://lists.sugarlabs.org/listinfo/iaep
