Posts Tagged ‘twitter’

Spurious Correlations

January 25, 2016

.@fionabrinkman @BioMickWatson @iddux Spurious Correlations
(http://tylervigen.com/spurious-correlations) related to Stat Frankenstein (https://twitter.com/markgerstein/status/689478730343837696)

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Banjo Raises $100 Million to Detect World Events in Real Time

May 9, 2015

Banjo Raises $100 Million to Detect World Events in Real Time http://blogs.wsj.com/digits/2015/05/06/banjo-raises-100-million-to-detect-world-events-in-real-time Will their global "crystal ball" notice this tweet?

A tool to easily edit DNA transforms research, holds potential for medicine – The Boston Globe

January 1, 2015

A tool to easily edit DNA transforms research, holds potential for medicine – The Boston Globe
https://www.bostonglobe.com/metro/2014/11/30/tool-easily-edit-dna-transforms-research-holds-potential-for-medicine/X7srGGFardarsWBfCqEL2H/story.html

The technique has become so ubiquitous that it has entered the casual vernacular of science as a verb; people talking about “CRISPRing” genes they want to tweak or delete.

Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

December 1, 2014

Social media fingerprints of unemployment, from detecting network components in tweet mining arxiv.org/abs/1411.3140 +
http://www.technologyreview.com/view/532746/twitter-exhaust-reveals-patterns-of-unemployment

Lots of press for an arxiv paper, viz:
Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

QT:{{”

So the team analysed the rate at which messages were exchanged between regions using a standard community detection algorithm. This revealed 340 independent areas of economic activity, which largely coincide with other measures of geographic and economic distribution. “This result shows that the mobility detected from geolocated tweets and the communities obtained are a good description of economical areas,” they say.

Finally, they looked at the unemployment figures in each of these regions and then mined their database for correlations with twitter activity.

“}}

1309.6001 Co-evolutionary dynamics in social networks: A case study of Twitter

September 19, 2014

http://arxiv.org/abs/1309.6001

PLOS Computational Biology: Ten Simple Rules of Live Tweeting at Scientific Conferences

September 19, 2014

10… Rules of Live Tweeting at Sci #Conferences by @eperlste http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003789 Great list but no mention of #crowdsourced note taking

‘Kardashian index’ in science

July 30, 2014

A great article discussing the major issue of hyped social media presence:

“Social media makes it very easy for people to build a seemingly impressive persona by essentially ‘shouting louder’ than others. Having an opinion on something does not make one an expert.”

http://genomebiology.com/2014/15/7/424

#ismb – 22nd Annual International Conference on Intelligent Systems for Molecular Biology – Social Media Analytics and Transcripts

July 14, 2014

http://www.symplur.com/healthcare-hashtags/ismb/

glasses.com for iPhone on the App Store on iTunes

December 16, 2013

“This amazing iPhone app 3D models your face and let’s you try glasses on your own face! ”

https://itunes.apple.com/us/app/glasses.com-for-iphone/id738159996

Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures

June 25, 2012

http://www.sciencemag.org/content/333/6051/1878

mining 1/2 B tweets temporarally