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Emergent Information, a Unified Theory of Information Framework Vol. 3. By Wolfgang Hofkirchner, World Scientific, 2013; 280 Pages. Price £ 58.00, ISBN 978-981-4313-48-3
Information 2013, 4(2), 171-181; doi:10.3390/info4020171

Social Contagion and Cascade Behaviors on Twitter

1,2,*  and 2,†
Received: 25 January 2013 / Revised: 28 March 2013 / Accepted: 29 March 2013 / Published: 15 April 2013
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Abstract: 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.
Keywords: three degrees; diffusion; twitter; social media; virality three degrees; diffusion; twitter; social media; virality
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Fabrega, J.; Paredes, P. Social Contagion and Cascade Behaviors on Twitter. Information 2013, 4, 171-181.

AMA Style

Fabrega J, Paredes P. Social Contagion and Cascade Behaviors on Twitter. Information. 2013; 4(2):171-181.

Chicago/Turabian Style

Fabrega, Jorge; Paredes, Pablo. 2013. "Social Contagion and Cascade Behaviors on Twitter." Information 4, no. 2: 171-181.

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