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What is Social Network Analysis?

Social Network Analysis (SNA) provides a framework for understanding the complex web of relationships that dictate the flow of power, information, and resources within human systems.

SNA for Advocacy

Instead of evaluating organizations based solely on individual attributes, budgets, or personnel, SNA positions actors as interdependent nodes connected by relational edges.

Traditional View Network View
Organization A has $2M budget Organization A connects 15 partners
Organization B has 50 staff Organization B bridges legal and grassroots
Organization C has 10 years experience Organization C controls information flow

The architecture of connections determines systemic capacity - both for advocacy coalitions to mobilize effectively and for the enforcement apparatus to operate.


Why Networks Matter for Immigration Advocacy

For Coalitions

Network Insight Strategic Value
Identify central actors Know who holds the coalition together
Find bridge organizations Connect siloed communities
Map information pathways Ensure rapid response reaches everyone
Discover structural holes Find untapped partnership opportunities

For Targeting Enforcement

Network Insight Intervention Strategy
Map contractor relationships Target corporate vulnerabilities
Identify funding flows Focus divestment campaigns
Find weak links Pressure points for disruption
Track political networks Identify persuadable legislators

Key Network Metrics

Metric What It Measures Advocacy Application
Degree Centrality Number of direct connections Identifies most active organizations
Betweenness Centrality How often a node bridges others Finds critical brokers connecting silos
Closeness Centrality Average distance to all other nodes Identifies rapid communication hubs
Eigenvector Centrality Connection to other influential nodes Reveals hidden power structures
Network Density Proportion of possible connections Measures coalition cohesion

Network Types in Immigration Advocacy

Network Type What It Maps Key Questions
Actor Networks Relationships between organizations Who works with whom?
Policy Networks Links to policymakers Who influences legislation?
Information Networks How knowledge flows Who spreads critical alerts?
Resource Networks Funding and support flows Who funds whom?
Enforcement Networks ICE, CBP, contractors, local police How does enforcement operate?

Documentation

Foundations

Strategic Mapping

Application


Quick Reference: Software Comparison

Tool Best For Learning Curve Cost
NetworkX Large datasets, computation High (Python) Free
Gephi Interactive visualization Medium Free
igraph Statistical analysis High (R/Python) Free
Kumu Collaborative mapping Low Free tier
Action Network CRM + network tracking Low $200+/mo

Case Studies

ALPES Coalition (Italy-France Border)

Longitudinal mapping revealed:

  • Over-reliance on central broker organizations
  • Deep national polarization
  • Presenting the network map catalyzed new cross-border partnerships

Detention Watch Network

Hub-and-spoke model connecting 100+ local initiatives:

  • Central hub distributes specialized resources (legislation drafts, toolkits)
  • Aggregates grassroots stories for federal advocacy
  • #CommunitiesNotCages campaign coordination

DACA Response Networks

During policy chaos:

  • Rapid dissemination through high-trust practitioner working groups
  • DACA recipients as central nodes sharing navigational capital
  • Decentralized networks proved highly resilient

Ethical Framework

Critical Safeguards

Safeguard Implementation
Data Minimization Collect only organizational ties, not personal connections
Informed Consent Explain how visualizations make connections visible
Community Ownership Impacted communities control data dissemination
Cybersecurity Encrypted storage, role-based access, regular audits

The Core Risk

Mapping connections of undocumented immigrants and organizers creates a potential targeting matrix. If compromised, this data could be weaponized by:

  • Federal enforcement agencies
  • Anti-immigrant vigilante groups
  • State intelligence operations

Every network analysis must ask: What happens if this data is breached?


Getting Started

Minimum Viable Approach

No coding required:

  1. Roster Survey - At coalition meeting, have members check boxes for relationships
  2. Relationship Types - "Exchange policy info," "Joint funding," "Weekly meetings"
  3. Basic Visualization - Use Kumu or Gephi for simple maps
  4. Identify Gaps - Where are structural holes? Who's isolated?

Integration with Existing Tools

CRM Network Capability
Action Network Action Builder for relationship tracking
Salesforce Custom relational tags
Humanitru Partnership tracking

When to Update

  • Annually (routine)
  • After major policy changes
  • After coalition membership changes
  • After enforcement surges

Strategic Applications

Strengthening Coalitions

Finding Intervention
Over-reliance on one broker Build redundant connections
Isolated grassroots groups Bridge to legal/policy actors
Information bottlenecks Create alternative pathways
Resource concentration Distribute technical assistance

Targeting Enforcement

Target Network Strategy
Private detention Map financial dependencies
Data brokers Identify institutional customers
287(g) jurisdictions Find persuadable local officials
Political support Track campaign contributions

Integration with Coalition Infrastructure

SNA works alongside:


Next Steps

  1. Learn SNA fundamentals - Understand core concepts
  2. Explore tools - Choose appropriate software
  3. Review ethical framework - Protect vulnerable communities
  4. Start implementation - Begin with minimum viable approach
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