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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

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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 KaltenbrunnerEurecat | 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 Ranking3. Find a catchy title4. Publish on Archive5. 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

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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

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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 Western11 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

Rank

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

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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