Epidemiological modeling of online social network dynamics · HackerPapers discussions

Epidemiological modeling of online social network dynamics — HN submission

Sun, 25 Mar 2018 04:46:05 GMT

Epidemiological modeling of online social network dynamics (2014)

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Epidemiological modeling of online social network dynamics — mentioned by T-A

Sat, 09 Apr 2016 14:42:48 GMT

Time to trot this out again: http://arxiv.org/abs/1401.4208

Paper and discussion history. A mention is not an endorsement.

Epidemiological modeling of online social network dynamics — HN submission

Mon, 10 Mar 2014 13:48:23 GMT

Princeton research predicts Facebook to lose 80% of users by 2017

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Epidemiological modeling of online social network dynamics — HN submission

Sat, 25 Jan 2014 15:02:51 GMT

Epidemiological modeling of online social network dynamics [pdf]

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Epidemiological modeling of online social network dynamics — mentioned by ronaldx

Wed, 22 Jan 2014 20:50:20 GMT

The conclusive headline (use of the word will) is the Guardian's editorial decision, not used by the scientists, if that's the main objection. The article has a more measured statement: "Extrapolating the best fit model into the future suggests that Facebook will undergo a rapid decline in the coming years, losing 80% of its peak user base between 2015 and 2017." Observing common network effects and using it to make predictions seems like valid scienfitic research to me. The hypothesis may or may not be correct, but it's a (very) testable and falsifiable hypothesis. The science is good.…

Paper and discussion history. A mention is not an endorsement.

Epidemiological modeling of online social network dynamics — mentioned by prjohnson

Wed, 22 Jan 2014 20:24:01 GMT

Here's the direct link to the Princeton study cited in the article: http://arxiv.org/pdf/1401.4208v1.pdf

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Epidemiological modeling of online social network dynamics — HN submission

Wed, 22 Jan 2014 12:45:35 GMT

Research paper suggests Facebook beginning to show onset of abandonment phase

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Epidemiological modeling of online social network dynamics — HN submission

Wed, 22 Jan 2014 06:41:16 GMT

Epidemiological Modeling Of Online Social Network Dynamics

10 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Epidemiological modeling of online social network dynamics — mentioned by chaz

Wed, 22 Jan 2014 01:42:16 GMT

This study is based on a couple of very shaky assumptions. The first is that they're modeling the decline of Facebook on the decline of MySpace, and assuming that their traffic/popularity curves are similar. I think the two sites are completely different animals and all comparisons became invalid when FB launched their app platform in 2007. Maybe when they launched their News Feed in 2006. The second is that they're basing it on Google Trends data, which is obviously based on searches for Facebook. With the enormous shift to mobile and users going directly to the app, I think that throws a…

Paper and discussion history. A mention is not an endorsement.

Epidemiological modeling of online social network dynamics — mentioned by doubt_me

Wed, 22 Jan 2014 01:39:28 GMT

http://arxiv.org/pdf/1401.4208v1.pdf Full study for anyone interested

Paper and discussion history. A mention is not an endorsement.