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

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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


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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

u www.tugraz.at

Science 2.0 VU

Your Assigment

WS 2015/16 Elisabeth Lex KTI, TU Graz

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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)

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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

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Part 1: Compute altmetrics

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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.

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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

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Example

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Part 2: Use #altmetrics14 Twitter collection

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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/

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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

  • wn 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

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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!

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