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Embed Size px x x x x Part 2 Dynamics of networksPart2:DynamicsofnetworksDiffusionandcascadingbehaviorHowdovirusesandinformationpropagate? FindinginfluentialnodesPart 2: Empirical studies on large networks Part2:Empiricalstudiesonlargenetworks.
Weknowalotaboutthestructure:Manyyrecurringpatterns Scalefree,smallworld,locallyclustered,bowtie,, , y , ,hubsandauthorities,communities,bipartitecores,networkmotifs,highlyoptimizedtolerance. One of the networks is a spread of a diseaseOneofthenetworksisaspreadofadisease,theotheroneisproductrecommendations. Afundamentalprocessinsocialnetworks:pBehaviorsthatcascadefromnodetonodelikeanepidemic News,opinions,rumors,fads,urbanlegends, Wordofmoutheffectsinmarketing:riseofnewwebsites,freewebbasedservices.
Experimental studies of diffusion have long history:Experimentalstudiesofdiffusionhavelonghistory: Spreadofnewagriculturalpractices[RyanGross]. AdoptionofanewhybridcornbetweenthefarmersinIowap y Classicalstudyofdiffusion Interpersonalnetworkplaysimportantroleinadoption. Spreadofnewmedicalpractices [Colemanetal] Studied the adoption of a new drug between doctors in IllinoisStudiedtheadoptionofanewdrugbetweendoctorsinIllinois Clinicalstudiesandscientificevaluationswerenotsufficienttoconvincethedoctors.
Diffusion has many very interesting Diffusionhasmany veryinteresting flavors,e. Probability of adopting new behavior depends on Probabilityofadoptingnewbehaviordependsonthenumberoffriendswhohaveadopted[Bass69,Granovetter78,Shelling78]. Keyissue:qualitativeshapeofdiffusioncurves Diminishingreturns?
Distinction has consequences for models of diffusion Distinctionhasconsequencesformodelsofdiffusionatpopulationlevel. Question: Will the virus take over the network? B ModelsofDiffusion:. Virus birth rate : probability than an infected Virus birthrate:probabilitythananinfectedneighborattacks Virus deathrate:probabilitythataninfectednode healsnodeheals. Theorem [Chakrabarti et al ]:Theorem [Chakrabarti etal. See Full Reader.
Post on Apr views. Category: Documents 1 download. Tutorial outlineTutorialoutline Part1:StructureandmodelsfornetworksWhatarepropertiesoflargegraphs? Process What have we learned about large networks? Virus birth rate : probability than an infected Virus birthrate:probabilitythananinfectedneighborattacks Virus deathrate:probabilitythataninfectednode healsnodeheals HealthyN2Prob.
NN1 2 Prob. Susceptible Infective Curedinternallywithprob. Whatshould dependon? S informationsurvive? Sensor: Dieswithprob. Transmits message with prob Transmitsmessagewithprob.
Jure Radic Betonske konstrukcije
Embed Size px x x x x The students previously agreed to dye eggs with onion skins, one of the traditional ways of colouring eggs. This way is justified because the students from other countries of the European Union will be able to see the results of the work. The students brought eggs, layers of onion skins, straw, etc from home. The lessons were held in a makeshift kitchen. Students put a flower ora leaf on the top of each egg, then they wraped the eggs with nylon stockings and at the end they put a bit of thread around it ti keep it firmly in place. We placed each wrapped egg into boiling water into which we added onion shells and cooked them for about 10 minutes.
Betonske konstrukcije - rijeseni primjeri
Embed Size px x x x x Part 2 Dynamics of networksPart2:DynamicsofnetworksDiffusionandcascadingbehaviorHowdovirusesandinformationpropagate? FindinginfluentialnodesPart 2: Empirical studies on large networks Part2:Empiricalstudiesonlargenetworks. Weknowalotaboutthestructure:Manyyrecurringpatterns Scalefree,smallworld,locallyclustered,bowtie,, , y , ,hubsandauthorities,communities,bipartitecores,networkmotifs,highlyoptimizedtolerance.
Jure Radic Betonske Konstrukcije
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