4th Databeers BCN - When a movement becomes a party

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Barcelona en Comú, an emerging grassroots movement-party, won the 2015 Barcelona City Council election. This candidacy was devised by activists involved in the 15M movement in order to turn citizen outrage into political change. On the one hand, the 15M movement is based on a decentralized structure. On the other hand, political science literature postulates that parties historically develop oligarchical leadership structures. This tension motivates us to examine whether Barcelona en Comú preserved a decentralized structure or adopted a conventional centralized organization. In this article we analyse the Twitter networks of the parties that ran for this election by measuring their hierarchical structure, information efficiency and social resilience. Our results show that in Barcelona en Com\'u two well-defined groups co-exist: a cluster dominated by the leader and the collective accounts, and another cluster formed by the movement activists. While the former group is highly centralized like the other major parties, the latter one stands out for its decentralized, cohesive and resilient structure.

Science

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

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

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

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

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

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

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

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

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

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

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

Movement-party structure
12Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona
Party
Movement

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

Hierachical structure
14Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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

Information efficiency
16Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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

Social resilience
18Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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?

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

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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 6 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 8 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 10 Over 500k tweets Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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

12. Movement-party structure 12Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona 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 14Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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 16Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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

18. Social resilience 18Sep 16, 2015 - 4th DataBeers - Centre de Cultura Contemporània de Barcelona

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

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