RT @NAChristakis: The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the fri…
RT @NAChristakis: The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the fri…
RT @NAChristakis: The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the fri…
RT @NAChristakis: The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the fri…
RT @NAChristakis: The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the fri…
The "friendship paradox" was described in 1991 by Scott Feld: https://t.co/OA1jFQVMfa Our other experiments with the friendship paradox to explore social contagion include: 2010 @PLOSONE https://t.co/4ZwpQbBsYK 2015 @TheLancet https://t.co/v8pTkbfWz5 2
And we have used the friendship paradox to identify nodes in networks that are more prone to being infected with germs or ideas, as in these two papers in @PLOSONE: https://t.co/4ZwpQbBsYK and https://t.co/3lYTojydyR Your friends are *sensors*. 13/
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
Thread.
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
RT @NAChristakis: In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship…
In 1991, Scott Feld published a nifty observation that "your friends have more friends than you do" (aka the "friendship paradox"). https://t.co/OA1jFQWk4I In 2010, we published a useful application of this idea (to detect epidemics). https://t.co/4ZwpQbC
@mlipsitch @limtseyang The class size paradox is related to the friendship paradox (https://t.co/4ZwpQbBsYK)! From perspective of dean, the average class size is 20. From perspective of students taking classes, the average class size is 200 (because there
RT @emollick: Paper is here: https://t.co/AceWI7JaQ2
RT @emollick: Paper is here: https://t.co/AceWI7JaQ2
RT @emollick: Paper is here: https://t.co/AceWI7JaQ2
Paper is here: https://t.co/AceWI7JaQ2
RT @NAChristakis: My #HNL lab has exploited this idea in numerous ways. At first, we used it to predict epidemics in advance -- whether of…
Previous research by @NAChristakis and @connected_book found that we could use the "friendship paradox" on face-to-face contact networks to identify sensors that anticipate the spreading of flu https://t.co/ZdGu7q1MUD
Fascinating! Implication for social network analysis (in infectious disease epidemiology) as a way to contact trace. https://t.co/RyJwI7HowZ
RT @emollick: Here’s the paper: https://t.co/AceWI80LHA
RT @emollick: Here’s the paper: https://t.co/AceWI80LHA
Social Network Sensors for Early Detection of Contagious Outbreaks, 11 years old https://t.co/ze8Y7ljtrH
Here’s the paper: https://t.co/AceWI80LHA
RT @NAChristakis: My #HNL lab has exploited this idea in numerous ways. At first, we used it to predict epidemics in advance -- whether of…
My #HNL lab has exploited this idea in numerous ways. At first, we used it to predict epidemics in advance -- whether of germs (in 2010) https://t.co/4ZwpQbBsYK or of information (e.g., @twitter hashtags) (in 2014) https://t.co/3lYTojydyR | @PLOSONE 6/
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
RT @emollick: Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they ar…
Want to know the next hot thing? Start by asking random people to identify their friends. Monitor those friends since they are likely more popular & connected than most because of the Friendship Paradox👇 Those friends learn about trends weeks before y
@svscarpino Another neat thing about friends is that the fastest way to find out if an epidemic is spreading, instead of monitoring individuals, you monitor their friends for symptoms. #friendshipparadox https://t.co/VvhFzpC1Dx
RT @jugander: @eflegara @HirokiSayama The friendship paradox and applications to monitoring epidemics: https://t.co/EsDK2h0Vj2 seeding (mar…
@eflegara @HirokiSayama The friendship paradox and applications to monitoring epidemics: https://t.co/EsDK2h0Vj2 seeding (marketing) interventions: https://t.co/A4PGEJhIyW https://t.co/kHtHDty9nL cc @deaneckles
RT @emollick: Also this why it is realistic that, in high school zombie movies, the “popular kids” always get turned into zombies first. No…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @SirolfSneyog: Toch een leuke voor de Covid19 aanpak in scholen 😂 @CarlvKeirsbilck @BoeveLieven
RT @emollick: Also this why it is realistic that, in high school zombie movies, the “popular kids” always get turned into zombies first. No…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: It even works to predict the spread of contagious disease. This experiment shows if you ask students to each name a friend, t…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
Toch een leuke voor de Covid19 aanpak in scholen 😂 @CarlvKeirsbilck @BoeveLieven
RT @emollick: Also this why it is realistic that, in high school zombie movies, the “popular kids” always get turned into zombies first. No…
Also this why it is realistic that, in high school zombie movies, the “popular kids” always get turned into zombies first. Not a metaphor - just science! 🧟♀️🧟🧟♂️
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
Que los socialitos se enferman/contagian antes que los no populares, los extraños caminos de la selección natural...
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
RT @emollick: The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on aver…
The popular kids are also a sensor network for disease! If you ask random people to pick a friend, those friends are, on average, more popular than who you asked. As these popular folks are in contact with more people, they get sick 14 days before others.
RT @emollick: It even works to predict the spread of contagious disease. This experiment shows if you ask students to each name a friend, t…
RT @emollick: It even works to predict the spread of contagious disease. This experiment shows if you ask students to each name a friend, t…
It even works to predict the spread of contagious disease. This experiment shows if you ask students to each name a friend, those friends get sick TWO WEEKS ahead of everyone else since they are more central to the network, due to the Friendship Paradox. h
RT @NAChristakis: The app is based on network science principles, including partly on work we did with the H1N1 pandemic in 2009. https://t…
@henningkrause @MuellerJung Im Paper wird tatsächlich beides modelliert. Wir hatten leider nicht die Zeit, über andere Studien zu sprechen, die noch genauer auf das Freundschaftsparadox eingehen, aber sehr spannend in dem Zusammenhang ist auch: https://t.c
RT @FlintDibble: In many ways, we shouldn’t really blame Pericles (or his policies) for the fact that he got this disease and died Studies…
RT @FlintDibble: In many ways, we shouldn’t really blame Pericles (or his policies) for the fact that he got this disease and died Studies…
RT @GEGENCovidioten: @Belex70 Soziale Netzwerksensoren zur Früherkennung ansteckender Ausbrüche Social Network Sensors for Early Detection…
@Belex70 Soziale Netzwerksensoren zur Früherkennung ansteckender Ausbrüche Social Network Sensors for Early Detection of Contagious Outbreaks https://t.co/fddlbYySz2
Y hasta podemos decir cuánto mayor es: la varianza sobre la media. Ahhh, esto no sirve solo para hacerte sentir peor o mejor. Sirve también, por ejemplo, para detectar epidemias anticipadamente y muchas cosas más. https://t.co/vVhSNbX7qs
@emollick Thanks for the shout-out to our paper! In fact, our paper refers to social media “outbreaks” and it is inspired in the paper by our coauthors @NAChristakis @connected_book on contagious disease outbreaks in (real) social networks https://t.co/ZdG
@SennJulien Ha! Here are three papers via @TheLancet & @PLOS: https://t.co/qxM3u4vETs https://t.co/4ZwpQbBsYK https://t.co/3lYTojydyR
It even works to predict the spread of contagious disease (relevant!). If you ask students to each name a friend, those friends get sick TWO WEEKS ahead of everyone else since they are more central to the network, thanks to the Friendship Paradox. 3/3 http
d: Observações parciais de uma rede de estudantes universitários. Observou-se que os nódulos vermelhos apresentavam sintomas de gripe H1N1. https://t.co/FPhCXllBbG https://t.co/m9hfzIGVyu
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @NAChristakis: This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJ…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @NAChristakis: This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJ…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @NAChristakis: This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJ…
RT @NAChristakis: This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJ…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @koenfucius: People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No n…
RT @NAChristakis: This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJ…
This is one key idea at the core of our COVID-19 risk forecasting app, #HUNALA @HunalaApp available at https://t.co/O7CIJNZJyN
People near the centre of a social network are more likely to be infected sooner during an outbreak. But who are they? No need to know— the friends of a random sample of individuals are known to be more central. Cool paper by @NAChristakis et al: https://t
RT @CarlosPaezAgraz: Fundamental documento para comprender cómo se despliega la red de contagio de un virus respiratorio. No responde a la…
RT @NAChristakis: This video, from old work of ours, shows how a respiratory virus spreads across social ties, inexorably, and it illustrat…
This COVID-19 graph resembles a fractal pattern. What might it indicate?
RT @NAChristakis: This video, from old work of ours, shows how a respiratory virus spreads across social ties, inexorably, and it illustrat…
RT @NAChristakis: This video, from old work of ours, shows how a respiratory virus spreads across social ties, inexorably, and it illustrat…