@RyanCMcCabe @facebook Check out the abstract! https://t.co/P1nep5McwQ
Network effects cut both ways. The @facebook population will soon collapse. As users leave the platform, value decreases for everyone else. $META Epidemiological modeling: https://t.co/V869uaRoWw Boom-bust population dynamics in competitive communities:
@DalsonFigueired Check out the abstract! https://t.co/P1nep5McwQ
"porque tudo o que é vivo, morre" (Em: O Auto da Compadecida) Facebook vai morrer até 2017 https://t.co/IXYK7ujDWN Facebook vai morrer até 2025 https://t.co/UjJBcw3mgR
@Yan_Yanko Check out the abstract! https://t.co/P1nep5McwQ
מחקרים, קווים לדמותם. מקור למחקר: https://t.co/aNqrThP4R5 https://t.co/1n4SZSjNUp
@VictorHdez Check out the abstract! https://t.co/P1nep5McwQ
Renovarse o morir. En 2014 varios estudios vaticinaban la muerte de Facebook entre 2017 y 2020. Ajustando su vida con algoritmos pandémicos y haciendo un simil con MySpace. https://t.co/8qHnLbwoxM no contaban con el éxito de Instagram y whatsapp xD
Tech x Epidemiology x being wrong - not just a 2020 fad. From 2014: Princeton predicts that $FB "...will undergo a rapid decline in the coming years, losing 80% of its peak user base between 2015 and 2017" https://t.co/il32rZtrBU
@evivyop @Damkyan_Omega Il y a 15-20 ans oui, je suis sûr que certaines versions de morceaux ne sont dispo que sur des vieux MySpace de groupe séparés. Pour rester dans le thème : modèle d'épidémiologie et réseaux sociaux : https://t.co/F1uXMwXdui Pas
Apropos of nothing, I remembered this paper from six years ago that predicted Facebook would be obsolete within a few years. They had a "model" and everything. How'd that work out? https://t.co/fndwdZVRFf
RT @KorayTascilar: I do not think we should so lightly abandon preprint servers. I couldn't find a peer reviewed version of this paper fore…
I do not think we should so lightly abandon preprint servers. I couldn't find a peer reviewed version of this paper forecasting the life cycle of Facebook using a stochastic model; and we're in #epitwitter and not on Facebook, right? https://t.co/5ZXchiLOt
I first learned the SIR model (developed to predict an epidemic outbreak) from this paper, studying company growth. Of course, the term "viral growth" is now prohibited for at least the next few years... https://t.co/IWWzQACkgd
In 2014, a group of aeronautical engineers, based on population dynamics, calculated that Facebook would lose 80% of its users by the end of 2016. That did not happen. https://t.co/vLLlg4LDJq
Un-politically, they compared Facebook to a disease. And they were right. (not in figures, obviously, https://t.co/yaASOVfLER)
RT @HamishMacEwan: 2014 https://t.co/AoYnLFlXMj "predicts a rapid decline in Facebook activity in the next few years." https://t.co/OGMDOo…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
RT @KevinZL: 2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/…
2014年普林斯顿航空系有人发了篇论文,说FB到2017年会有80%用户流失。 https://t.co/1vtsp3Dbgi 然后呢,FB的人用类似的Model算了算,说Princeton到2021年就招不到学生了。。。 https://t.co/8Sebdf9bMK
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
RT @profcarroll: Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
It's funny cuz it's true.
Towards a theory of life after facebook https://t.co/pBjCCHU9CS https://t.co/VCvoeJvtIQ
2014 Princeton paper) where it uses an infectious recovery "SIR" model to predict Facebook's decline by 2017. It has charts that overlay FB with the same fate MySpace succumbed to 5 years ago. (Charts are on pages 9-10). Looks like they were wrong. https
@suzan @djoerd @leifos In data science classes I tend to use this one: https://t.co/uX2nMZoB2v Lots to discuss and think about in terms of data science.
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @profcarroll: Almost two years ago, epidemiologist predicts what could trigger Facebook’s collapse. #CambridgeAnalytica https://t.co/GAf…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
Epidemiological modeling of online social network dynamics (2014) https://t.co/PpgdiYWeBG #geek #iosdev #tech
Epidemiological modeling of online social network dynamics (2014) https://t.co/3ptNHC4TqE
"For their study, Cannarella and Spechler used what is known as the SIR (susceptible, infected, recovered) model of disease, which creates equations to map the spread and recovery of epidemics." https://t.co/8CfM2Jba8t
Leitura recomendada: Epidemiological modeling of online social network dynamics https://t.co/PEIm8Ut3Sk
Still waiting https://t.co/LLGMuyRs5a
Ridículo estudio de estudiantes de la Universidad de @Princeton sobre el futuro de @facebook https://t.co/WMoIRrTl6r
2014 https://t.co/AoYnLFlXMj "predicts a rapid decline in Facebook activity in the next few years." https://t.co/OGMDOot8I7
Princeton's 2014 epidemiological #model had famously predicted that we shall be cured of Facebook by 2017! https://t.co/RCEq8Solpr
@jeffrey_doucet 2014 study said Facebook would lose 80% of users by 2017: https://t.co/Z035kVyupc Wonder what next 10yrs will look like...
Interesting study, fundamentally flawed with its comp to MySpace. I do agree, however, with FB losing younger demo https://t.co/l4tsP3zQiK
RT @dsgarcia: Según artículo de Universidad de Princeton, Facebook perdería 80% de sus usuarios en los próximos 3 años, paper: https://t.co…
RT @aydinbirik: #Facebook will lose 80% of users by 2017, say #Princeton researchers platform will be largely abandoned by 2017 https://t.c…
#Facebook will lose 80% of users by 2017, say #Princeton researchers platform will be largely abandoned by 2017 https://t.co/v84rSBu0HS
RT @dsgarcia: Según artículo de Universidad de Princeton, Facebook perdería 80% de sus usuarios en los próximos 3 años, paper: https://t.co…
RT @dsgarcia: Según artículo de Universidad de Princeton, Facebook perdería 80% de sus usuarios en los próximos 3 años, paper: https://t.co…
RT @dsgarcia: Según artículo de Universidad de Princeton, Facebook perdería 80% de sus usuarios en los próximos 3 años, paper: https://t.co…
Según artículo de Universidad de Princeton, Facebook perdería 80% de sus usuarios en los próximos 3 años, paper: https://t.co/BfjTsUM2sE
"Epidemiological modeling of online social network dynamics" https://t.co/S5kc2fqLgA @Princeton #SocialNetwork #Facebook #MySpace #Growth https://t.co/ICb9pPCorz
RT @AnujSrivas: Princeton University's prediction on Facebook death by 2017 based itself on Google search results of Facebook. https://t.co…
Princeton University's prediction on Facebook death by 2017 based itself on Google search results of Facebook. https://t.co/cHCxlkUhS4
@fbanalytics Page 6 : https://t.co/ZVV0YJoSWg
Using infectious disease modeling to chart the decline of Facebook - it's on the way out (apparently) https://t.co/YpIRvCBgsW
This is that 2014 Princeton #paper (mentioned in Guardian, et. al,) where it uses an infectious recovery "SIR... https://t.co/imuMMnZM0f
As social networks trend, then fall, "PokémonGo sheds 10M users," https://t.co/rPtn0pB5AQ I'm reminded of this: https://t.co/xYjNeybgZ3
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
RT @dbarthjones: A Well Timed Epidemic Mass Exodus Could Force @Facebook to Reform Poor #Privacy Policies 1 https://t.co/HrR4XZRRaT 2 https…
Facebook anticipated to lose up to 80% of user base by 2017. Based on epidemiological analysis. See u on snapchat. https://t.co/49h2F5sCr9
@chrisFnicholson @mathewi @brianstelter Epidemiology theory indicates FB is susceptible to trust contagion. https://t.co/K91D59j3rU
@rafat Time will tell. Epidemiology theory suggests FB is not invincible. https://t.co/K91D59j3rU
@Johan3362 @aral Epidemiology theory suggests it's inevitable. https://t.co/K91D59j3rU
@coopkungfu Facebook could collapse. Applying epidemiology theory indicates how it’s possible, believe it or not. https://t.co/K91D59j3rU