• Corpus ID: 2834140

Three Degrees of Distance on Twitter

  title={Three Degrees of Distance on Twitter},
  author={Jorge Fabrega and Pablo Paredes},
Recent work has found that the propagation of behaviors and sentiments through networks extends in ranges up to 2 to 4 degrees of distance. The regularity with which the same observation is found in dissimilar phenomena has been associated with friction in the propagation process and the instability of link structure that emerges in the dynamic of social networks. We study a contagious behavior, the practice of retweeting, in a setting where neither of those restrictions is present and still… 

Figures from this paper



How far does a tweet travel?: Information brokers in the twitterverse

This paper identifies three possible information diffusion patterns: random, local and information brokerage and shows that the information brokerage pattern describes best how users of Twitter diffuse information through the act of retweeting.

Why do People Retweet? Anti-Homophily Wins the Day!

This work looks to get a better understanding of what makes people spread information in tweets or microblogs through the use of retweeting and finds that, not surprisingly, people's retweeting behavior is better explained through multiple different models rather than one model.

Book Review: Connected: The surprising power of our social networks and how they shape our lives.

This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.

Entropy-based Classification of 'Retweeting' Activity on Twitter

This work identifies two features, time-interval and user entropy, which it uses to classify retweeting activity and achieves good separation of dierent activities using just these two features and is able to categorize content based on the collective user response it generates.

Alone in the crowd: the structure and spread of loneliness in a large social network.

Understanding of the broad social forces that drive loneliness is advanced and efforts to reduce loneliness in society may benefit by aggressively targeting the people in the periphery to help repair their social networks and to create a protective barrier against loneliness that can keep the whole network from unraveling.

The collective dynamics of smoking in a large social network.

Despite the decrease in smoking in the overall population, the size of the clusters of smokers remained the same across time, suggesting that whole groups of people were quitting in concert.

Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study

People’s happiness depends on the happiness of others with whom they are connected, providing further justification for seeing happiness, like health, as a collective phenomenon.

Social contagion theory: examining dynamic social networks and human behavior

The regularities that led us to propose that human social networks may exhibit a ‘three degrees of influence’ property are described and the statistical approaches used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness are reviewed.

Estimating peer effects on health in social networks : A response to

These issues are addressed by two papers in this issue, “Is Obesity Contagious? Social Networks versus Environmental Factors in the Obesity Epidemic” and “Peer Effects in Adolescent Overweight,” which conclude that there are peer effects for obesity in the Add Health sample, especially among females and among adolescents with high BMI.