32. virality
• Distribution: how many people, on average, will an
“infected” host make contact with while the host is still
“infectious”?
• Infection: how likely is a person, on average, to also
become “infected” after contact with a viral host?
• k factor: distribution * infection
• =1: stable
• 1: exponential growth
• 1: exponential decay
33. virality
• Increase the percentage of active hosts
who actively make contact with uninfected people
• Increase the contact rate for each active host
(average number of contacts per time period)
• Increase the duration of each active host’s
infectious time period
• Increase the likelihood that contacts turn into infections
(i.e., infection conversion)
!
http://framethink.wordpress.com/2008/01/15/the-four-viral-app-objectives-aka-social-network-application-virality-101/
46. testen...
• doel: wat wil je te weten komen?
• methode: hoe ga je dat te weten komen?
• rationale: welke andere manieren heb je overwogen
en waarom niet weerhouden?
• wie, wat, waar: n, demographics, logistics, ...
• resultaten: wat heb je gemeten, geobserveerd?
(zonder interpretatie)
• besluit: wat ben je te weten gekomen?
(link naar resultaten)
47. itereren...
• doel: belangrijkste proble(e)m(en) dat/die je wil
aanpakken
• alternatieven: hoe kan je problemen aanpakken
• keuze: en rationale
• herneem die problemen bij volgende iteratie!
