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From Social Networks to Political Parties: Indigenous Party-Building in Bolivia

Published online by Cambridge University Press:  12 December 2023

MARIANA GIUSTI-RODRÍGUEZ*
Affiliation:
Naval Postgraduate School, United States
*
Mariana Giusti-Rodríguez, Assistant Professor, Department of National Security Affairs, Naval Postgraduate School, United States, m.giustirodriguez@nps.edu.
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Abstract

While existing scholarship recognizes the centrality of social organizations for party-building efforts, how network structures condition party-building remains underexamined. This article argues that a core property of the network environments within which proto-parties emerge—structural resilience—shapes opportunities for proto-parties’ expansion and consolidation. More resilient network structures—those with multiple pathways available for expansion—decrease proto-parties’ vulnerability to structural threats and allow them to circumvent competition. To evaluate this theory, I examine the organizational networks of three comparable indigenous party-building efforts in Bolivia. Using original network data and a mixed-methods approach, I demonstrate that MAS-IPSP succeeded in establishing itself as the indigenous party because of the structural resilience of the network environment within which it originated. By contrast, its counterparts failed when targeted network attacks undermined their access to organizational spaces critical to their expansion strategies. The findings reveal often-overlooked variation in the relationship between social organizations and political parties.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Table 1. Indigenous Political Projects in Bolivia

Figure 1

Figure 1. CSUTCB Organizational Structure

Figure 2

Figure 2. Coordinadora’s Network Environment

Figure 3

Figure 3. Network Environment of Indigenous Parties’ Origin OrganizationNote: Figure plots (A) Coordinadora, (B) FDUTCP-LP “TK,” and (C) FSUTCC’s network environments. Small circles represent organizational nodes. The gray lines indicate organizational ties, capturing positive interactions. Dark lines highlight direct ties connecting each proto-parties’ origin organization to larger organizational community.

Figure 4

Table 2. Proto-Parties’ Origin Organizations’ Centrality Measures

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Figure 4. Organizational Network and CSUTCB ConnectionsNote: Figure (A) represents the complete organizational network, with important nodes in white circles and node size determined by degree centrality. Figure (B) plots this network, highlighting (in black) CSUTCB’s direct ties.

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Figure 5. Bridge Centrality of Organizational NodesNote: Bridge strength is calculated as the absolute value of edges between a node and all nodes outside of that node’s community. Bridge betweenness considers the number of times a particular node is in the shortest path between two nodes in different communities. Bridge closeness is calculated as the inverse of the average distance from a particular node to all nodes outside its own community. Organizational communities are defined through random walks.

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Figure 6. CSUTCB Departmental Federations’ Political AlliancesNote: Figure uses 2001 Bolivian census data (INE 2001) to map proto-party political control in rural municipalities by identifying municipalities that are over 75% rural—a proxy for CSUTCB reach—and assigning political control to each party based on known power coalitions among department federations.

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Figure 7. Attack Tolerance of Organizational NetworkNote: Plot assesses network vulnerability to intentional or random attacks. Each line captures connectivity loss resulting from the removal of individual nodes randomly (Random) or according to levels of degree centrality (Degree), degree betweenness (Betweenness), and recalculated degree betweenness after node removal (Cascading).

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Figure 8. MAS-IPSP Electoral Geography (2002)Note: The figure maps MAS-IPSP’s electoral support density in 2002 elections using Tribunal Supremo Electoral (TSE 2012) data.

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