"When a Movement Becomes a Party" by Pablo Aragon from EURECAT ad 4th DataBeersBCN

1. When a Movement Becomes a Party
The 2015 Barcelona City Council Election
Pablo Aragón
Digital Humanities – Eurecat
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

2. Intro
2
Digital Humanities – Eurecat
DatAnalysis15M research network
D-CENT research project
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

3. 2011 Spanish Elections on Twitter
3
Politicians and party
corporate accounts only
propagated tweets from
their own sub-network
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelonaf

4. 2011 Spanish Elections on Twitter
4
Diffusion was centralized
around the candidate
and/or corporate party
accounts.
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

5. Evolution of 15M on Twitter
5
May 13-14, 2011
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

6. Evolution of 15M on Twitter
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May 15-22, 2011
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

7. Evolution of 15M on Twitter
7
Oct 2011 May 2012
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

8. D-CENT project
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Network-driven data:
 Analysis
 Modelling
 Visualization
of empowered citizen communities
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

9. D-CENT project: The 2015 Bcn Election case study
9
Given that:
 Barcelona en Comú emerged from the 15M
 the 15M movement exhibited a decentralized structure
Has Barcelona en Comú…
 preserved a decentralized structure?
 adopted a conventional centralized organization?
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

10. Dataset
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Over 500k tweets
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

11. Full network structure
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7 parties
8 clusters
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

12. Movement-party structure
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Party
Movement

13. Hierachical structure
13
Gini Coefficient of the in-degree distribution
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

14. Hierachical structure
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15. Information efficiency
15
Clustering coefficient
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona
Low clustering coeff.
High clustering coeff.

16. Information efficiency
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17. Social resilience
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k-core decomposition
Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

18. Social resilience
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19. Conclusion
For Barcelona en Comú, 2 paradigms co-exist:
 A centralized and low resilient party cluster
 A decentralized and resilient movement cluster
 As the result of the confluence of minor parties and the 15M activists?
 As a party interface over a citizen decentralized system?
19Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona
How did Barcelona en Comú emerge?

20. CHECK our real-time analysis of the 2015 Catalan Elections!
http://catalunya27s.barcelonamedia.org/
Thanks for your attention… Questions?
20Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona