The Spontaneous Emergence of Social Influence in Online Systems
J.-P. Onnela, F. Reed-Tsochas

TL;DR
This study analyzes how social influence spontaneously emerges in online systems, revealing a threshold-driven on-off behavior in application popularity driven by collective influence processes.
Contribution
It introduces a novel analysis of social influence in online environments using fluctuation scaling on 100 million app installations, uncovering a spontaneous on-off influence regime.
Findings
Two distinct influence regimes identified
Social influence causes high correlation in adoption above a threshold
Spontaneous on-off influence behavior observed in digital environment
Abstract
Social influence drives both offline and online human behaviour. It pervades cultural markets, and manifests itself in the adoption of scientific and technical innovations as well as the spread of social practices. Prior empirical work on the diffusion of innovations in spatial regions or social networks has largely focused on the spread of one particular technology among a subset of all potential adopters. It has also been difficult to determine whether the observed collective behaviour is driven by natural influence processes, or whether it follows external signals such as media or marketing campaigns. Here, we choose an online context that allows us to study social influence processes by tracking the popularity of a complete set of applications installed by the user population of a social networking site, thus capturing the behaviour of all individuals who can influence each other in…
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