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Science 2.0 VU Your Assigment Elisabeth Lex KTI, TU Graz WS - PowerPoint PPT Presentation

www.tugraz.at n W I S S E N n T E C H N I K n L E I D E N S C H A F T Science 2.0 VU Your Assigment Elisabeth Lex KTI, TU Graz WS 2015/16 u www.tugraz.at www.tugraz.at n Assignment 1/2


  1. www.tugraz.at n W I S S E N n T E C H N I K n L E I D E N S C H A F T Science 2.0 VU Your Assigment Elisabeth Lex KTI, TU Graz WS 2015/16 u www.tugraz.at

  2. www.tugraz.at n Assignment 1/2 • Implementation (50%) 1. Mining scientific papers and compute altmetrics (25 pts) • Use rOpenSci to first search in arxiv.org for papers related to a topic of your choice and then to retrieve with rAltmetric their altmetrics (http://ropensci.org) • Result: List of 10 dois from arxiv.org with altmetrics, according altmetrics from altmetics.org (10 pts) • Plot and interpret the results • Result: plot and textual interpretation (15 pts) 2. Use #altmetrics14 Twitter collection (25 pts) http://figshare.com/articles/An_altmetrics14_Twitter_Archive/1151577 • Extract mentions of users (user A mentions user B in tweet) • Result:Table: userid userscreenname mentions (10 pts) • Plot mentions in matrix • Result: plot and textual interpretation (15 pts) 2

  3. www.tugraz.at n Assignment 2/2 • Final Report (25 points) • Read related work and collect the papers in Mendely group (tag it with your name) (5 pts) • Write a scientific paper (4 pages) (20 pts) • Upload your paper and your source code in Mendeley (tag it with submission_yourname, e.g. submission_xyz) • Presentation (25 pts): Present your paper in class • Motivate the work you have done (e.g. why altmetrics) in 1 slide • Present your results and your methodological approach • Bonuspoints: Present your own ideas for the Twitter dataset and how you would tackle them à further bonus points if you implement and present them J 3

  4. www.tugraz.at n Part 1: Compute altmetrics 4

  5. www.tugraz.at n Short intro into R • The R project for Statistical Computing • http://www.r-project.org • Free software environment for statistical computing and graphics • Classification, clustering, statistical tests, time- series analysis,... • Simple way to produce „publication ready“ plots • Windows, unix, osx: CRAN mirror. 5

  6. www.tugraz.at n The package rAltmetric • Package that enables to retrieve altmetric data from altmetric.com for publications • Altmetric tracks what people are saying about papers online on behalf of publishers, authors, libraries and institutions. • http://cran.r-project.org/web/packages/rAltmetric/ • http://ropensci.github.io/rAltmetric/ • 2 major functions: • altmetrics() - Download metrics • altmetric_data() – Extract data • Plus: functions to plot/print metrics 6

  7. www.tugraz.at n Example 7

  8. www.tugraz.at n Part 2: Use #altmetrics14 Twitter collection 8

  9. www.tugraz.at n Analysis of Twitter dataset • Determine impact of users at a scientific conference • Extract mentions of users (user A mentions user B in tweet) • Hint: think about deduplication, dataset cleaning • Plot mentions in matrix and interpret results 9 https://www.miskatonic.org/2013/02/22/one-last-c4l13-tweet-thing-who-mentioned-whom/

  10. www.tugraz.at n Write a scientific paper about your work • 4 pages Springer LNCS format: • http://www.springer.com/computer/lncs? SGWID=0-164-6-793341-0 • Structure of the paper: • Abstract (= a short, complete summary of the paper with key findings) • Introduction and Related Work (describes the theoretical background, indicates why the work is important, states a research question) • Why is the work important? You can borrow from papers you read – but you need to cite the paper correctly, rephrase, what you‘ve read in your own words and comment if your work differs from it • Experiments and Results • Conclusion and Future Work • Conclusion: Report main findings. • Future Work: how would you go on with this work • References 10

  11. www.tugraz.at n Presentation • Workshop-Style: Presentation and Discussion • Present your work in max 10 min + 5 mins for questions from the audience • Mandatory attendence No plagiarism allowed! But: Open Science – so if you use work of others, cite it properly – if you use work of your colleagues – cite them and give them credits! 11

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