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Approaches to Analyzing Scientific
Communication on Twitter
A project of the researchers group „Science and the Internet“

Katrin Weller & Cornelius Puschmann
Heinrich-Heine-University Düsseldorf

The World According to Twitter workshop.
Brisbane, Australia. June 28, 2011.
Slides are online: http://www.slideshare.net/katrinweller
Background: Science and the Internet




                                       6 projects
                                       8 persons
                                       5 disciplines

                                       1 overall topic




              NFGWIN
          http://nfgwin.uni-
       duesseldorf.de/en/node
Background: Science and the Internet

The projects




      Digital genres of                            Law and scientific
        publication         Educational beliefs     internet usage




       Change of the
    “Publication” concept   Citations in Web 2.0   3D environments
Background: Science and the Internet
Current activities
             Doctoral class                    Media trainings


                                                                 Courses
                              Guest                              for
                              lectures                           academic
                                                                 staff




              Conference                   Work across subprojects



                              September                          Scientific
                              2012,                              Twitter
                              Düsseldorf                         usage
Background: Science and the Internet
Current activities



                                 HHU-QUT exchange
Scientific Microblogging?

How can scientific tweets be identified?



                     Based on content




                     Based on persons




                     Based on formats
Analyzing Conference Tweets


                     • Selection of conferences
          Data       • Collection of tweets based on
        Collection     conference hashtags


                     • Time series
       Automatic     • Most active users
        Analysis     • User-networks

                     • Categorization of tweet contents
        Manual       • Key question: Are tweets dealing with
        Analysis       the scientific topics of a conference?


                     • URLs in tweets („external citations“)
        Citation     • Retweets („internal citations“)
        Analysis
Data Collection
Automatic Analysis
Number of tweets per hour




hour
                                   Time Series: #mla09
User Network based on RTs: #mla09
Retweet-Networks over Time




Data from Digital Humanities Conference 2010 (7-10 July 2010), Source:: Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter
conversations as (dynamic) graphs: visualization and structural comparison. Presented at General Online Research, 14-16 March 2011,
Düsseldorf, Germany. Retrieved from http://ynada.com/posters/gor11.pdf.
Number of tweets




                         20
                              40
                                   60
                                        80




                     0
                                                         140
                                                               160




                                             100
                                                   120
   samplereality
  mlaconvention
     briancroxall
             kfitz
MLAdeconvention
         triproftri
   amandafrench
        jcmeloni
       nowviskie
                                                                     User Activities: #mla09




  academicdave
 NewFacMajority
     JenHoward
     ryancordell
  amandalicastro
      wpwend42
        amndw2
    georgeonline
    eetempleton
 mkirschenbaum
       spikenlilli
  annecmccarthy
   ericganderson
         warnick
     alogemann
      derekbruff
     christydena
   EMiC_project
         profsyn
      kwissoker
          lizlosh
       mini_mia
         mkgold
User Activities: #mla09




                         40
  Number of @-messages




                         35
                         30
                         25
                         20
                         15
                         10
                          5
                          0




                              @-messages sent
                              @-Nachrichten gesendet   @-Nachrichtenreceived
                                                       @-messages empfangen
Manual Analysis
Categorization Scheme for Tweet Contents


 1. Level: Content                      2. Level: Purpose
      1.1 Related to scientific            2.1 Communication with
      topics of conference [YES]           others [COM]

      1.2 Not related to scientific        2.2 Conference-related
      topics of conference [NO]            tweets [CONF]

                                           2.3 Self-referential tweets
      1.3 undefined [NA]
                                           [ME]

                                           2.4 Media-sharing [URL]


                                           2.5 undefined [NA]
                         RTs excluded
Tweet Contents


                           Are tweets dealing with the scientific topics
                                of the conference? (RTs excluded)
                         2500
                                            keineavailable
                                             Not Angabe            Nein
                                                                    No    Ja
                                                                           Yes
      Number of tweets




                         2000                                155


                         1500
                                     105                     938

                         1000
                                    1.002
                          500                                953

                                     308
                            0
                                   #mla09
                                 #mla09              #www2010
                                                    #www2010
Tweet Contents
                                                      Purposes of tweets (multiple categories per tweet)
                                        60
  Percentage of tweets (RTs excluded)




                                             53,8 %

                                        50

                                                                                                                #www2010
                                        40                                                                      #mla09

                                                              30,9 %                 31
                                        30
                                                                                           %
                                                     27 %                                             27,3 %

                                                                               21
                                        20                                           %         17,8
                                                                      15,5 %                          %                  15,4 %
                                              1098

                                                     382




                                        10
                                                                                         439




                                                                                                          386
                                                                630

                                                                        220




                                                                               428




                                                                                               364
                                                                                                                    5%




                                                                                                                          218
                                                                                                                   101
                                         0

                                              CONF              URL            COM                   ME              NA
Citation Analysis on Twitter
Citations and References

  • Document A cites Document B = A includes a reference to B.

  • There is an information flow from B to A.

  • Document B receives a citation (and thus reputation).


           Citing                                    Cited
         Document A                               Document B

       As pointed out by        Reputation
       B, everything will                        „Everything will
       be allright.                              be allright!“

                                Information
       Reference: see
       Document B.
Citations and References on Twitter?
External and Internal Citations
Overlap of External and Internal Citations
Overlap of External and Internal Citations
What is Highly Cited?
What is Highly Cited?
URL Categories: #www2010
URL Categories: #mla09
Future Work


              Inclusion of additional conferences,
                   comparision of disciplines


              More detailed analysis of datasets
                      based on people


                 Identification of „user types“


              Longitudinal study: Usage patterns
                           over time
Greetings from Düsseldorf!


Dr. Katrin Weller                                  Dr. Cornelius Puschmann
Dept. of Information Science                       Dept. of English Language and Linguistics
Heinrich-Heine-University Düsseldorf               Heinrich-Heine-University Düsseldorf
Universitätsstr. 1, Geb. 23.21.04.68,              Universitätsstr. 1, Geb. 23.11.01.21
D-40225 Düsseldorf                                 D-40225 Düsseldorf
E-Mail: weller@uni-duesseldorf.de                  E-Mail: cornelius.puschmann@uni-
                                                   duesseldorf.de
Twitter: @kwelle                                   Twitter: @coffee001


                                        Acknowledgements:

                                             @knuurps     @free5pirit       @ParrPar
               #nfgwin           #iwhhu       Evelyn        Julia            Parinaz
                                              Dröge        Verbina          Maghferat
Further Reading
• Weller, K., & Puschmann, P. (2011, in press). Twitter for Scientific Communication: How Can
  Citations/References be Identified and Measured? To appear in: Proceedings of the Poster
  Session at the Web Science Conference 2011, Koblenz, Germany.
  Preprint: http://www.websci11.org/fileadmin/websci/Posters/153_paper.pdf

• Weller, K., Dröge, E., & Puschmann, C. (2011). Citation Analysis in Twitter: Approaches for
  Defining and Measuring Information Flows within Tweets during Scientific Conferences. In
  Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie, & Mariann Hardey (Eds.), Making Sense of
  Microposts (#MSM2011), Workshop at Extended Semantic Web Conference (ESWC 2011), Crete,
  Greece (pp. 1-12). CEUR Workshop Proceedings Vol. 718. http://sunsite.informatik.rwth-
  aachen.de/Publications/CEUR-WS/Vol-718/

• Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter conversations as (dynamic)
  graphs: Visualization and structural comparison. Poster presented at General Online Research
  (GOR 11), 14-16 March 2011, Düsseldorf, Germany. Retrieved from
  http://ynada.com/posters/gor11.pdf.

• Dröge, E., Maghferat, P., Puschmann, C., Verbina, J., & Weller, K. (2011). Konferenz-Tweets. Ein
  Ansatz zur Analyse der Twitter-Kommunikation bei wissenschaftlichen Konferenzen. In Joachim
  Griesbaum, Thomas Mandl, Christa Womser-Hacker (Eds.), Information und Wissen: global, sozial
  und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenchaft (pp. 98-
  110). Boizenburg: VWH.
Selected References

 • Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: Conversational aspects of
   retweeting on Twitter. In R. H. Sprague (Ed.), Proceedings of the 43rd Conference on
   System Sciences (HICSS 10), Honolulu, Hawaii, USA. Piscataway, NJ: IEEE (2010)

 • Ebner, M., & Reinhardt, W. (2009). Social networking in scientific conferences: Twitter
   as tool for strengthen a scientific community. In U. Cress; V. Dimitrova, & M. Specht
   (Eds.), Learning in the Synergy of Multiple Disciplines.4th European Conference on
   Technology Enhanced Learning, EC-TEL 2009 Nice, France. Berlin: Springer.

 • Letierce, J., Passant, A., Decker, S., & Breslin, J. G. (2010). Understanding how Twitter
   is used to spread scientific messages. In Proceedings of the Web Science Conference
   (WebSci10): Extending the Frontiers of Society On-Line, Raleigh, NC, USA.

 • Priem, J., & Costello, K. L. (2010). How and why scholars cite on Twitter. In C.
   Marshall; E. Toms, & A. Grove (Eds.), Proceedings of the 73rd ASIS&T Annual Meeting
   on Navigating Streams in an Information Ecosystem, Pittsburgh, PA, USA (pp. Article
   No. 75). New York, NY: ACM.

 • Ross, C., Terras, M., Warwick, C., & Welsh, A. (2011). Enabled backchannel:
   Conference Twitter use by digital humanists. Journal of Documentation, 67(2), 214–
   237.
Sources for images

 Page 3:
 Second Life: http://www.beekeepergroup.com/is-second-life-relevant/
 “Blog” keyboard: http://www.timelesswebs.com/make-money-blog-money-blog/
 Wikipedia citations: http://en.wikipedia.org/wiki/Brisbane

 Page 4 (media trainings), pages 6, 9, 15, 19, 29: Microsoft ClipArt.

 Photos from Düsseldorf / Brisbane (pages 4,5, 30) by Katrin Weller.

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Approaches to Analyzing Scientific Communication on Twitter

  • 1. Approaches to Analyzing Scientific Communication on Twitter A project of the researchers group „Science and the Internet“ Katrin Weller & Cornelius Puschmann Heinrich-Heine-University Düsseldorf The World According to Twitter workshop. Brisbane, Australia. June 28, 2011. Slides are online: http://www.slideshare.net/katrinweller
  • 2. Background: Science and the Internet 6 projects 8 persons 5 disciplines 1 overall topic NFGWIN http://nfgwin.uni- duesseldorf.de/en/node
  • 3. Background: Science and the Internet The projects Digital genres of Law and scientific publication Educational beliefs internet usage Change of the “Publication” concept Citations in Web 2.0 3D environments
  • 4. Background: Science and the Internet Current activities Doctoral class Media trainings Courses Guest for lectures academic staff Conference Work across subprojects September Scientific 2012, Twitter Düsseldorf usage
  • 5. Background: Science and the Internet Current activities HHU-QUT exchange
  • 6. Scientific Microblogging? How can scientific tweets be identified? Based on content Based on persons Based on formats
  • 7. Analyzing Conference Tweets • Selection of conferences Data • Collection of tweets based on Collection conference hashtags • Time series Automatic • Most active users Analysis • User-networks • Categorization of tweet contents Manual • Key question: Are tweets dealing with Analysis the scientific topics of a conference? • URLs in tweets („external citations“) Citation • Retweets („internal citations“) Analysis
  • 10. Number of tweets per hour hour Time Series: #mla09
  • 11. User Network based on RTs: #mla09
  • 12. Retweet-Networks over Time Data from Digital Humanities Conference 2010 (7-10 July 2010), Source:: Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter conversations as (dynamic) graphs: visualization and structural comparison. Presented at General Online Research, 14-16 March 2011, Düsseldorf, Germany. Retrieved from http://ynada.com/posters/gor11.pdf.
  • 13. Number of tweets 20 40 60 80 0 140 160 100 120 samplereality mlaconvention briancroxall kfitz MLAdeconvention triproftri amandafrench jcmeloni nowviskie User Activities: #mla09 academicdave NewFacMajority JenHoward ryancordell amandalicastro wpwend42 amndw2 georgeonline eetempleton mkirschenbaum spikenlilli annecmccarthy ericganderson warnick alogemann derekbruff christydena EMiC_project profsyn kwissoker lizlosh mini_mia mkgold
  • 14. User Activities: #mla09 40 Number of @-messages 35 30 25 20 15 10 5 0 @-messages sent @-Nachrichten gesendet @-Nachrichtenreceived @-messages empfangen
  • 16. Categorization Scheme for Tweet Contents 1. Level: Content 2. Level: Purpose 1.1 Related to scientific 2.1 Communication with topics of conference [YES] others [COM] 1.2 Not related to scientific 2.2 Conference-related topics of conference [NO] tweets [CONF] 2.3 Self-referential tweets 1.3 undefined [NA] [ME] 2.4 Media-sharing [URL] 2.5 undefined [NA] RTs excluded
  • 17. Tweet Contents Are tweets dealing with the scientific topics of the conference? (RTs excluded) 2500 keineavailable Not Angabe Nein No Ja Yes Number of tweets 2000 155 1500 105 938 1000 1.002 500 953 308 0 #mla09 #mla09 #www2010 #www2010
  • 18. Tweet Contents Purposes of tweets (multiple categories per tweet) 60 Percentage of tweets (RTs excluded) 53,8 % 50 #www2010 40 #mla09 30,9 % 31 30 % 27 % 27,3 % 21 20 % 17,8 15,5 % % 15,4 % 1098 382 10 439 386 630 220 428 364 5% 218 101 0 CONF URL COM ME NA
  • 20. Citations and References • Document A cites Document B = A includes a reference to B. • There is an information flow from B to A. • Document B receives a citation (and thus reputation). Citing Cited Document A Document B As pointed out by Reputation B, everything will „Everything will be allright. be allright!“ Information Reference: see Document B.
  • 23. Overlap of External and Internal Citations
  • 24. Overlap of External and Internal Citations
  • 25. What is Highly Cited?
  • 26. What is Highly Cited?
  • 29. Future Work Inclusion of additional conferences, comparision of disciplines More detailed analysis of datasets based on people Identification of „user types“ Longitudinal study: Usage patterns over time
  • 30. Greetings from Düsseldorf! Dr. Katrin Weller Dr. Cornelius Puschmann Dept. of Information Science Dept. of English Language and Linguistics Heinrich-Heine-University Düsseldorf Heinrich-Heine-University Düsseldorf Universitätsstr. 1, Geb. 23.21.04.68, Universitätsstr. 1, Geb. 23.11.01.21 D-40225 Düsseldorf D-40225 Düsseldorf E-Mail: weller@uni-duesseldorf.de E-Mail: cornelius.puschmann@uni- duesseldorf.de Twitter: @kwelle Twitter: @coffee001 Acknowledgements: @knuurps @free5pirit @ParrPar #nfgwin #iwhhu Evelyn Julia Parinaz Dröge Verbina Maghferat
  • 31. Further Reading • Weller, K., & Puschmann, P. (2011, in press). Twitter for Scientific Communication: How Can Citations/References be Identified and Measured? To appear in: Proceedings of the Poster Session at the Web Science Conference 2011, Koblenz, Germany. Preprint: http://www.websci11.org/fileadmin/websci/Posters/153_paper.pdf • Weller, K., Dröge, E., & Puschmann, C. (2011). Citation Analysis in Twitter: Approaches for Defining and Measuring Information Flows within Tweets during Scientific Conferences. In Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie, & Mariann Hardey (Eds.), Making Sense of Microposts (#MSM2011), Workshop at Extended Semantic Web Conference (ESWC 2011), Crete, Greece (pp. 1-12). CEUR Workshop Proceedings Vol. 718. http://sunsite.informatik.rwth- aachen.de/Publications/CEUR-WS/Vol-718/ • Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter conversations as (dynamic) graphs: Visualization and structural comparison. Poster presented at General Online Research (GOR 11), 14-16 March 2011, Düsseldorf, Germany. Retrieved from http://ynada.com/posters/gor11.pdf. • Dröge, E., Maghferat, P., Puschmann, C., Verbina, J., & Weller, K. (2011). Konferenz-Tweets. Ein Ansatz zur Analyse der Twitter-Kommunikation bei wissenschaftlichen Konferenzen. In Joachim Griesbaum, Thomas Mandl, Christa Womser-Hacker (Eds.), Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenchaft (pp. 98- 110). Boizenburg: VWH.
  • 32. Selected References • Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. In R. H. Sprague (Ed.), Proceedings of the 43rd Conference on System Sciences (HICSS 10), Honolulu, Hawaii, USA. Piscataway, NJ: IEEE (2010) • Ebner, M., & Reinhardt, W. (2009). Social networking in scientific conferences: Twitter as tool for strengthen a scientific community. In U. Cress; V. Dimitrova, & M. Specht (Eds.), Learning in the Synergy of Multiple Disciplines.4th European Conference on Technology Enhanced Learning, EC-TEL 2009 Nice, France. Berlin: Springer. • Letierce, J., Passant, A., Decker, S., & Breslin, J. G. (2010). Understanding how Twitter is used to spread scientific messages. In Proceedings of the Web Science Conference (WebSci10): Extending the Frontiers of Society On-Line, Raleigh, NC, USA. • Priem, J., & Costello, K. L. (2010). How and why scholars cite on Twitter. In C. Marshall; E. Toms, & A. Grove (Eds.), Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem, Pittsburgh, PA, USA (pp. Article No. 75). New York, NY: ACM. • Ross, C., Terras, M., Warwick, C., & Welsh, A. (2011). Enabled backchannel: Conference Twitter use by digital humanists. Journal of Documentation, 67(2), 214– 237.
  • 33. Sources for images Page 3: Second Life: http://www.beekeepergroup.com/is-second-life-relevant/ “Blog” keyboard: http://www.timelesswebs.com/make-money-blog-money-blog/ Wikipedia citations: http://en.wikipedia.org/wiki/Brisbane Page 4 (media trainings), pages 6, 9, 15, 19, 29: Microsoft ClipArt. Photos from Düsseldorf / Brisbane (pages 4,5, 30) by Katrin Weller.