EarthQuake

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Earthquake Start of a project to bring in information from a website with an Application Programming Interface (API). We are going to use a modified version of "Project: Fetching Current Weather Data" from "Automate the boring stuff with Python" by Al Sweigart What is going on below? We import libraries to dela with json, reuest from the server and the pandas library. In [1]: import json , requests import pandas as pd from pandas import json_normalize In this section we creating a string made up of the URL. Requesting the information from the site with the URL we created and pass back the information. Data comes from the US Geological survey  https://www.usgs.gov/about/about-us/who-we-are and one of their earthquake feeds. Then print out what was returned. In [2]: url = 'https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson' response = requests . get ( url ) response . raise_for_status () Now we need load the data which i
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Publications in a social network

The Computing staff's network of co-authors, at the University of Northampton, based on the University's  research repository NECTAR - http://nectar.northampton.ac.uk/view/divisions/SSTCT.html on 12th November 2016. The data goes back to 2010.
The data was analysed using the software VOSviewer - http://www.vosviewer.com/ free software for visualising networks. Differences in colours represents, the clusters of publications with those authors picked out by the software. The relative size of the circles is the relative number of publications listed; so for the two biggest circles/hubs it relates to 55 and 34 publications in this time period. Some relatively new authors, to the University but not to research, explains some of the 'islands' and the number of publications within it - it only reflects publications whilst at the University of Northampton.

To dig a little deeper, going to  look at the two biggest 'hubs' through their NECTAR records, so potentially going back before 2010.
To see the source data:
http://nectar.northampton.ac.uk/view/people/Turner=3AScott_J=3A=3A.html as of 12th of November 2016.

To see the source data: http://nectar.northampton.ac.uk/view/people/Al-Sherbaz=3AAli=3A=3A.html as of 12th of November 2016.

The line thicknesses reflect the amount of collaboration (papers) between authors. My personal views it shows a mixture of working with some key co-authors, as well as also working with wider sets of authors is a positive strategy.


All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruonAll views are the authors and do not reflect the views of any organisations the author is associated with. Twitter: @scottturneruon

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