Networks and Dynamics of Violent Political Mobilization
Historical Evidence from Spain
Giacomo Lemoli and Sergi Martínez
sdmartines@eafit.edu.co | sergimartinez.github.io
Motivation
We reached the highest number of state-based conflicts since 1946 (PRIO, 2024).
What leads people to take arms?
What drives volunteers and conscripts?
Literature and theoretical expectations
Volunteers, first movers usually qualified as hardliners.
Defined by group identities, incl. ideology or ethnicity (Sanı́n and Wood 2014; Abramson and Qiu 2024; Cederman, Gleditsch, and Buhaug 2013; Wucherpfennig et al. 2012; Kalmoe 2020; Nussio 2017).
Interaction w/charismatic and persuasive elites (Arjona and Kalyvas 2012; Dippel and Heblich 2021; Cagé et al. Forthcoming).
Expectation: Pre-existing electoral-patronage networks can define enlistment.
Compliers: opposed or neutral who comply when called up.
Potential Non-compliers: opposed to the cause, will only comply when the threated.
Control and fear for retribution can raise collaboration (Kalyvas 2006) and increase military performance (Lyall and Zhukov 2021; Rozenas, Talibova, and Zhukov 2023).
Potential non-compliers, require formal and informal threats of retribution (Bonnier et al. 2020; Nussio and Ugarriza 2021; Rogall 2021).
Expectations
The Spanish Civil War in Navarre
1936-1939: Civil War
Failed fascist coup that divided the country for 39 months
Rebels, Francoists vs. Loyalists contenders of the Republic
Both sides killed and displaced civilians using indiscriminate and selective techniques
About 500,000-800,000 deaths
known as the “dress rehearsal for WWII”
Conservative and religious, but diverse in ideological, ident., and economy (Caspitegui 2005).
2nd Republic (1931-36/9), right-wing parties, incl. the Carlists, Comunión Trad.
July 18, 1936: Franco staged the coup.
In 10 days, elect. and paramilitary networks joined 10K volunteers in Pamplona.
Posterior compulsory conscription
August ’36, stable territorial control.
Both sides called for conscripts.
Rebels: 13 call ups on 12 cohorts (1929-1941).
Municipality-level evidence
on first movers
Volunteers vs. conscripted
% Right-wing ’36 on voluntary enlistment
Robust to controlling for population, literacy, males %, single males %, ’33 right %, altitude, ruggedness, and Part. Jud. FE:
Right share ’36:
Turnout:
Table in Appendix A.1. Effect more intense in municipalities w/ Carlist officials.
Further confirmed in DiD models, Appendix A.2.
Individual networks of compliance
34’ voting-age census (n ≈ 175,000, 1/2 males).
File of Navarrese fighters (n ≈ 30,000 excl. Pamplona, 15K>23 y/o).
Implications. If threat yields compliance among non first movers:
Conscription should increase enlistment.
If fear is at play, social ties with first movers should increase compliance further.
DiD, time = conscription waves [t=12] and conscripted cohorts, or bef-aft [t=2].
Main effects | Men | Main, binary nw | Men, binary nw | |
---|---|---|---|---|
Cohort conscription | 0.174 | 0.154 | 0.221 | 0.200 |
(0.005) | (0.005) | (0.004) | (0.004) | |
First-movers nw (log) x Conscription | 0.058 | 0.058 | ||
(0.003) | (0.003) | |||
First-movers nw (bin) x Conscription | 0.115 | 0.115 | ||
(0.007) | (0.007) | |||
Num.Obs. | 335665 | 157150 | 335665 | 157150 |
Enlist to avoid imprisonment, get rid of stigma and police persecution (Leira-Castiñeira 2020).
As the way to switch sides (Rego 2014; Leira-Castiñeira and Domı́nguez-Almansa 2018).
Conclusion
Aggregate level
The role of ideological preferences vs. patronage/electoral networks, in progress.
The role of associations in mobilization.
Individual level
Digitization of individual-level registry data on participation in conservative association before the war, in progress.
Recreation of other possible proto-fascist networks.
The interwar period backsliding was endogenous to the pre-war scenario:
Literature
Roots of democratic backsliding and conflict mobilization (e.g., Kalmoe 2020; Dippel and Heblich 2021), joining lit. on interwar fascism (e.g., Satyanath, Voigtländer, and Voth 2017).
Puts together the role of networks (Bai, Jia, and Yang 2023; Cruz, Labonne, and Querubin 2020) w/lit. on violent mobilization (Humphreys and Weinstein 2008; Arjona and Kalyvas 2012) and conflict processes (Kalyvas 2006; Gates 2017).
Policy implications: Detect to block the nodes of undemocratic mobilization (Rogall 2021).
Comments to sdmartines@eafit.edu.co and giacomo.lemoli@iast.fr.
💪 Juanjo, Harrison, Kenzie, Paola, Sara, Cristian, and Natalia; 💰 BBVA, Bobst, IAST-TSE, and EAFIT.
References
Appendix
If electoral-patronage networks mobilized right-wing hardliners as first movers:
Right % ’36 to predict the share of first movers.
Turnout ’36 to predict the share of first movers.
Volunteers July'36 | Placebo w/post-Aug '36 | |
---|---|---|
* p < 0.1, ** p < 0.05, *** p < 0.01 | ||
% Right 1936 | 0.132*** | -0.120** |
(0.033) | (0.050) | |
% Turnout 1936 | 0.097** | 0.000 |
(0.044) | (0.042) | |
Num.Obs. | 255 | 255 |
R2 | 0.500 | 0.195 |
Lemoli and Martínez (EPSA, 2025)