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***** To join INSNA, visit http://www.insna.org ***** Hello, The following info is intended for the participants of the Workshop 11 "Mining (together with a bit of web scraping) of large social networks from Twitter using Python (and Ruby)" to take place at the EUSN Paris 2016 on June 14th, 2016 (9:00 am - 12:00 pm): http://eusn2016.sciencesconf.org/89693 Needless to say that the distributed material is open for anybody who wants to access it. Moreover, we (me and Sergios) will be happy to answer any questions that anybody might have. First of all, those who intend to participate at the Workshop are invited to have a laptop with them, in which they should have installed: Python (2.7.*), Ruby (2.3.*), Jupyter (iPython Notebook) [for instance, from the Anaconda distribution https://www.continuum.io/downloads] Beaker Notebook [http://beakernotebook.com/getting-started] Furthermore, the notebooks and scripts we are going to use are accessible at github: https://github.com/mboudour/TwitterMining Notice that for these notebooks and scripts to be able to run, certain additional Python modules and Ruby gems need to be imported and, hence, to be already installed at your computers. These modules/gems are indicated in various cells of the notebooks/scripts (most often in the beginning). Anybody who wants any previous assistance on installing these modules/gems should contact us and we will be very happy to explain the procedure. In any case, such installations depend on the Operating System of your computer. We have only tested them in ubuntu 14.04 LTS, where the installation procedure are pretty handy there. Of course, during the Workshop, we are going to try to assist participants with the installation of these modules/gems. Actually, we intend to distribute a USB disk with an image of a virtual machine, in which everything is working properly, so that participants might copy it in their computers and be able to follow seamlessly what we will be doing. The starting notebook (as an html page, readable directly) is: http://mboudour.github.io/2016/06/05/Twitter-Mining.html and the corresponding iPython Notebook (Jupyter) is: https://github.com/mboudour/TwitterMining What is presented in this notebook is how to set up a Twitter application, to obtain the OAuth tokens and how to start Twitter mining through our scripts. The two Beaker Notebooks that we are going to be using are accessible (again directly) at: https://pub.beakernotebook.com/publications/author/56d1ed14-7ed0-4627-8af7-50060aee8746 The second Beaker Notebook (entitled "TwitterScrapingInRuby") includes the Ruby scripts through which you may do the Twitter scraping. The first Beaker Notebook (entitled "TwitterAnalysisOfRefugeesParisAtacksIn10-23November2015") includes the computations for a detailed construction and processing of the data frame corresponding to the extracted tweets (from a big Twitter data set that has been already mined on the topic of Refugees and Paris Attacks in the period November 10th to 23rd, 2015) together with the following analyses of these tweets: Descriptive statistics Sentiment analysis Geolocations Twitter networks (for Retweets, Mentions and Hashtags) including the computation of several network centralities In this notebook, the displayed time series and network visualizations are processed through the Python module of Lightning and the geolocations in Folium. We are and will be very glad to give you any further info and assistance and to discuss issues relating to Twitter mining either by emailing us or face-to-face at our Workshop on June 14th. All the best, --Moses and Sergios _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.