Social Contagion and Cascade Behaviors on Twitter
1
School of Government, Adolfo Ibanez University, Diagonal Las Torres 2640, Penalolen, Santiago 7941169, Chile
2
Mac Iver 524, suite 1405, Santiago, 8320076, Chile
*
Author to whom correspondence should be addressed.
†
NodosChile.org.
Information 2013, 4(2), 171-181; https://doi.org/10.3390/info4020171
Received: 25 January 2013
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Revised: 28 March 2013
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Accepted: 29 March 2013
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Published: 15 April 2013
It has been found in a variety of face-to-face networks that diffusion of information, behaviors and sentiments extend up to two to four degrees of distance from the original source. This regularity has been popularized as the three degrees of influence phenomenon. Prior works have suggested a number of possible explanations to this pattern. In this paper, we study it in the context of an online network. We find similar results in this online setting to those already found offline. However, our approach suggests that two of the previously proposed explanations (increasing instability of connections at greater distances from the source and simple information decay) should not be central to explain the pattern.
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Keywords:
three degrees; diffusion; twitter; social media; virality
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MDPI and ACS Style
Fabrega, J.; Paredes, P. Social Contagion and Cascade Behaviors on Twitter. Information 2013, 4, 171-181. https://doi.org/10.3390/info4020171
AMA Style
Fabrega J, Paredes P. Social Contagion and Cascade Behaviors on Twitter. Information. 2013; 4(2):171-181. https://doi.org/10.3390/info4020171
Chicago/Turabian StyleFabrega, Jorge, and Pablo Paredes. 2013. "Social Contagion and Cascade Behaviors on Twitter" Information 4, no. 2: 171-181. https://doi.org/10.3390/info4020171
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