#Marketing #Viral #Social Networks

Branching dynamics of viral information spreading

Authors: José Luis Iribarren and Esteban Moro Journal: Physical Review E 84, 046116 (2011) LINK | arXiv Abstract: Despite its importance for rumors or innovations propagation, peer-to-peer collaboration, social networking, or marketing, the dynamics of information spreading is not well understood. Since the diffusion depends on the heterogeneous patterns of human behavior and is driven by the participants’ decisions, its propagation dynamics shows surprising properties not explained by traditional epidemic or contagion models. ...

#Social Networks #Viral #Marketing

Affinity Paths and information diffusion in social networks

Authors: José Luis Iribarren and Esteban Moro Journal: Social Networks 33, 134-142 (2011). LINK | arXiv Abstract: Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. A majority of them use theoretical hypothesis to explain their diffusion mechanisms while the few empirically based ones average out their measures over many messages of different contents. Our empirical research tracking the step-by-step email propagation of an invariable viral marketing message delves into the content impact and has discovered new and striking features. ...

#humans #marketing #simulation #stochastic #viral

The speed and reach of forwarded emails, rumors, and hoaxes in electronic social networks

We have just published an experimental/theoretical work on the speed of information diffusion in social networks in Physical Review Letters. Specifically we have studied the impact of the heterogeneity of human activity in propagation of emails, rumors, hoaxes, etc. Tracking email marketing campaigns, executed by IBM Corporation in 11 European countries, we were able to compare their viral propagation with our theory (see below the campaigns details). The results are very simple. ...

#Humans #Marketing #Social Networks #Viral

Impact of Human Activity Patterns on the Dynamics of Information Diffusion

Authors: J. L. Iribarren and E. Moro Journal: Physical Review Letters 103, 038702 (2009) LINK arXiv Abstract: We study the impact of human activity patterns on information diffusion. To this end we ran a viral email experiment involving 31183 individuals in which we were able to track a specific piece of information through the social network. We found that, contrary to traditional models, information travels at an unexpectedly slow pace. ...

#marketing #response rate #spam #viral #wikipedia

Percentages and absolute numbers

Percentage of active users in the Internet 2.0 is tiny. Fractions go from * only 1% of Wikipedia's users contribute to making it better * only 0.1% of users upload their own videos to Youtube * only 3% of people with weblogs post on a daily basis * only 1% of Amazon.com customers contribute with reviews The numbers are tiny. But not uncommon. Typical return rates of marketing campaigns or surveys are around 2-5% (see report by the Direct Marketing Association). ...

#Marketing #Social Networks #Viral

Information diffusion epidemics in social networks

Authors: José Luis Iribarren, Esteban Moro Journal: Preprint 0706.0641 arXiv Abstract: The dynamics of information dissemination in social networks is of paramount importance in processes such as rumors or fads propagation, spread of product innovations or “word-of-mouth” communications. Due to the difficulty in tracking a specific information when it is transmitted by people, most understanding of information spreading in social networks comes from models or indirect measurements. Here we present an integrated experimental and theoretical framework to understand and quantitatively predict how and when information spreads over social networks. ...