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How to get into the news with
Social network analysis
How to get into the news with
Social network analysis
Andreas Kaltenbrunner
Eurecat | Barcelona Media
databeersbcn, Jul 22, Barcelona
2www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
Recipe to get in the news
1. Find an interesting SN Dataset
2. Main ingredient: Do some Ranking
3. Find a catchy title
4. Publish on Archive
5. Wait
Eurecat: new Technology centre
Merger of:
- Barcelona Media
- Barcelona Digital
- Ascamm
- Cetemmsa
- CTM
How to get in into the news with SNA
4www.eurecat.org
Computational
Social Science
Social Media Research Group
Digital Humanities Department @ Barcelona Media | Eurecat
@akalten_bcn
How to get in into the news with SNA
5www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
Example 1: Who is the best
Tennis player in history
Radicchi F (2011) Who Is the Best Player Ever? A Complex
Network Analysis of the History of Professional Tennis. PLoS
ONE 6(2): e17249.
Generate a SN using matches
played by professional tennis
players between 1968 and 2010
6www.eurecat.org
Example 1: Tennis players
How to get in into the news with SNA
7www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
Example 2: Sister Cities
Kaltenbrunner A., Aragón P., Laniado D., Volkovich Y.,
(2013) Not all paths lead to Rome: Analysing the network of
sister cities, IWSOS 2013 - 7th International Workshop on
Self-Organizing Systems, Palma de Mallorca, Spain
- Analyse the social network of
cities
- Group by countries
8www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
Example 2: Sister Cities
9www.eurecat.org
Example 2: Sister Cities
@akalten_bcn
Distance between
cities does not matter
=> death of distance
10www.eurecat.org @akalten_bcn
11www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
Example 3: Biographies on Wikipedia
Eom Y., Aragón P., Laniado D., Kaltenbrunner A., Vigna S.,
Shepelyansky D. L. (2015)
Interactions of cultures and top people of Wikipedia from
ranking of 24 language editions,
PLoS ONE, 10, 3, 2015, e0114825
Aragón P., Kaltenbrunner A., Laniado D., Volkovich Y. (2012)
Biographical Social Networks on Wikipedia - A cross-cultural
study of links that made history,
WikiSym'12- 8th International Symposium on Wikis and
Open Collaboration, Linz, Austria..
- Analyse the hyper-link network of Wikipedia
- Rank articles about persons
- Compare different language editions
12www.eurecat.org
Ranking for English Wikipedia Ranking in Multiple languages
ΘA is the ranking score of algorithm A;
NA is the number of appearances of a given person in
the top100 rank for all editions.
Example 3: Biographies on Wikipedia
@akalten_bcn
How to get in into the news with SNA
← Network of similar language editions
13www.eurecat.org
Results: Birth place distribution of top ranked biographies
Sum of appearances of historical figures from a given country in the 24 lists of top 100 persons for PageRank.
Color changes from zero (white) to 233 for Germany (black).
Overall Western
11 editions are not European (AR, FA, HE, HI, JA, KO, MS, TH, TR,VI, ZH)
How to get in into the news with SNA
@akalten_bcn
14www.eurecat.org
Overlap with alternative rankings:
 Hart’s Influential personas in History: 43%
 Top 100 people Pantheon MIT list: 44%
Not bigger than Jesus, but relevant from an encyclopedic
point of view
Example 3: Biographies on Wikipedia
@akalten_bcn
How to get in into the news with SNA
15www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
For extra impact:
Add minor comment about
the relation of the results
with a controversial topic
For example
- Gender bias
- Climate Change
- Political Polarisation
Source: Saturday Morning Breakfast Cereal
http://www.smbc-comics.com/
16www.eurecat.org
How to get in into the news with SNA
Number of females in the top 100 PageRank historical
figures of different Wikpedia editions
Overall male skewed
Ran
k
TH PageRank
1 Sirindhorn
2 Bhumibol Adulyadej
3 Sirikit
4 Thaksin Shinawatra
5 Gautama Buddha
6 Adolf Hitler
7 Taksin
8 Queen Victoria
9 Abhisit Vejjajiva
10 Pridi Banomyong
11 Yingluck Shinawatra
12 Galyani Vadhana
13 Srinagarindra
14 J. R. R. Tolkien
15 Samak Sundaravej
How to get in into the news with SNA
Example 3: Biographies on Wikipedia
@akalten_bcn
17www.eurecat.org @akalten_bcn
How to get in into the news with SNA
18www.eurecat.org
A Final Suggestion:
Do not read the comments!
If you do, do not answer!
@akalten_bcn
How to get in into the news with SNA
www.eurecat.org
Disclaimer:
Getting in the news does not
give you more citations
@akalten_bcn
How to get in into the news with SNA
20www.eurecat.org
How to get in into the news with SNA
@akalten_bcn
QUESTIONS?
We are hiring

Post Doc Position
 Data Scientist
 Computational Sociologist

Phd in
– Mathematics
– Phyisics
– or Computer Science

More info at http://bit.ly/DATASCIENTIST

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#3 DataBeersBCN - "How to get into the news with Social networks analysis" by Andreas Kaltenbrunner

  • 1. How to get into the news with Social network analysis How to get into the news with Social network analysis Andreas Kaltenbrunner Eurecat | Barcelona Media databeersbcn, Jul 22, Barcelona
  • 2. 2www.eurecat.org How to get in into the news with SNA @akalten_bcn Recipe to get in the news 1. Find an interesting SN Dataset 2. Main ingredient: Do some Ranking 3. Find a catchy title 4. Publish on Archive 5. Wait
  • 3. Eurecat: new Technology centre Merger of: - Barcelona Media - Barcelona Digital - Ascamm - Cetemmsa - CTM How to get in into the news with SNA
  • 4. 4www.eurecat.org Computational Social Science Social Media Research Group Digital Humanities Department @ Barcelona Media | Eurecat @akalten_bcn How to get in into the news with SNA
  • 5. 5www.eurecat.org How to get in into the news with SNA @akalten_bcn Example 1: Who is the best Tennis player in history Radicchi F (2011) Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis. PLoS ONE 6(2): e17249. Generate a SN using matches played by professional tennis players between 1968 and 2010
  • 6. 6www.eurecat.org Example 1: Tennis players How to get in into the news with SNA
  • 7. 7www.eurecat.org How to get in into the news with SNA @akalten_bcn Example 2: Sister Cities Kaltenbrunner A., Aragón P., Laniado D., Volkovich Y., (2013) Not all paths lead to Rome: Analysing the network of sister cities, IWSOS 2013 - 7th International Workshop on Self-Organizing Systems, Palma de Mallorca, Spain - Analyse the social network of cities - Group by countries
  • 8. 8www.eurecat.org How to get in into the news with SNA @akalten_bcn Example 2: Sister Cities
  • 9. 9www.eurecat.org Example 2: Sister Cities @akalten_bcn Distance between cities does not matter => death of distance
  • 11. 11www.eurecat.org How to get in into the news with SNA @akalten_bcn Example 3: Biographies on Wikipedia Eom Y., Aragón P., Laniado D., Kaltenbrunner A., Vigna S., Shepelyansky D. L. (2015) Interactions of cultures and top people of Wikipedia from ranking of 24 language editions, PLoS ONE, 10, 3, 2015, e0114825 Aragón P., Kaltenbrunner A., Laniado D., Volkovich Y. (2012) Biographical Social Networks on Wikipedia - A cross-cultural study of links that made history, WikiSym'12- 8th International Symposium on Wikis and Open Collaboration, Linz, Austria.. - Analyse the hyper-link network of Wikipedia - Rank articles about persons - Compare different language editions
  • 12. 12www.eurecat.org Ranking for English Wikipedia Ranking in Multiple languages ΘA is the ranking score of algorithm A; NA is the number of appearances of a given person in the top100 rank for all editions. Example 3: Biographies on Wikipedia @akalten_bcn How to get in into the news with SNA ← Network of similar language editions
  • 13. 13www.eurecat.org Results: Birth place distribution of top ranked biographies Sum of appearances of historical figures from a given country in the 24 lists of top 100 persons for PageRank. Color changes from zero (white) to 233 for Germany (black). Overall Western 11 editions are not European (AR, FA, HE, HI, JA, KO, MS, TH, TR,VI, ZH) How to get in into the news with SNA @akalten_bcn
  • 14. 14www.eurecat.org Overlap with alternative rankings:  Hart’s Influential personas in History: 43%  Top 100 people Pantheon MIT list: 44% Not bigger than Jesus, but relevant from an encyclopedic point of view Example 3: Biographies on Wikipedia @akalten_bcn How to get in into the news with SNA
  • 15. 15www.eurecat.org How to get in into the news with SNA @akalten_bcn For extra impact: Add minor comment about the relation of the results with a controversial topic For example - Gender bias - Climate Change - Political Polarisation Source: Saturday Morning Breakfast Cereal http://www.smbc-comics.com/
  • 16. 16www.eurecat.org How to get in into the news with SNA Number of females in the top 100 PageRank historical figures of different Wikpedia editions Overall male skewed Ran k TH PageRank 1 Sirindhorn 2 Bhumibol Adulyadej 3 Sirikit 4 Thaksin Shinawatra 5 Gautama Buddha 6 Adolf Hitler 7 Taksin 8 Queen Victoria 9 Abhisit Vejjajiva 10 Pridi Banomyong 11 Yingluck Shinawatra 12 Galyani Vadhana 13 Srinagarindra 14 J. R. R. Tolkien 15 Samak Sundaravej How to get in into the news with SNA Example 3: Biographies on Wikipedia @akalten_bcn
  • 17. 17www.eurecat.org @akalten_bcn How to get in into the news with SNA
  • 18. 18www.eurecat.org A Final Suggestion: Do not read the comments! If you do, do not answer! @akalten_bcn How to get in into the news with SNA
  • 19. www.eurecat.org Disclaimer: Getting in the news does not give you more citations @akalten_bcn How to get in into the news with SNA
  • 20. 20www.eurecat.org How to get in into the news with SNA @akalten_bcn QUESTIONS? We are hiring  Post Doc Position  Data Scientist  Computational Sociologist  Phd in – Mathematics – Phyisics – or Computer Science  More info at http://bit.ly/DATASCIENTIST