Process / pipelineSociology Of ReligionSociology of religion / network analysisPipeline

Congregational Network Analysis

Also known as: Religious Network Analysis, Faith Community Network Analysis, Congregation Social Network Analysis, Networks-and-Religion Analysis

OriginatorSean F. EvertonYear2018Sources1Related methods6

Congregational network analysis applies social network analysis to religious communities, treating congregations and their members as nodes connected by ties of friendship, kinship, recruitment, and shared participation. Rather than studying individuals in isolation, it asks how the structure of relationships within and between faith communities shapes who joins, who stays, how commitment spreads, and how movements grow or fracture. Sean Everton's Networks and Religion (2018) organizes the field around the idea that ties bind people into communities, loose them from old commitments, build up movements, and tear them down, showing across recruitment, conversion, and decline that relational structure is often a better predictor of religious outcomes than individual attributes alone.

Key highlights

  • Explains recruitment and conversion through the pre-existing social ties that actually drive them.
  • Identifies structurally pivotal actors - leaders, recruiters, brokers - via centrality measures.
  • Quantifies community cohesion, illuminating why some congregations bind members and others do not.
  • Provides a unified relational framework spanning growth, maintenance, decline, and schism.

Intuition

This section is available to Pro members. Upgrade to Pro

How it works

This section is available to Pro members. Upgrade to Pro

When to use it

Use congregational network analysis when your question concerns how relationships shape religious life - recruitment, retention, the spread of commitment, leadership and brokerage, or schism and decline - and when you can obtain relational data on ties among members or congregations. It is especially powerful for explaining why people join through pre-existing social bonds, for identifying influential brokers, and for studying how movements mobilize or fracture. It complements attribute-based survey analysis, which it can outperform when structure matters more than individual traits. It is less appropriate when only individual-level data are available, when boundaries of the relevant network cannot be drawn, or when the substantive interest lies in the content and meaning of belief and practice rather than in relational structure, where lived-religion methods serve better.

Strengths & limitations

Strengths
  • Explains recruitment and conversion through the pre-existing social ties that actually drive them.
  • Identifies structurally pivotal actors - leaders, recruiters, brokers - via centrality measures.
  • Quantifies community cohesion, illuminating why some congregations bind members and others do not.
  • Provides a unified relational framework spanning growth, maintenance, decline, and schism.
Limitations
  • Relational data are demanding to collect and often incomplete, with missing ties biasing structural measures.
  • Network boundaries are hard to define, and how the boundary is drawn shapes density and centrality results.
  • Cross-sectional networks struggle to establish whether ties cause outcomes or merely reflect them.
  • Structural focus can underweight the beliefs, meanings, and individual motivations that also drive religious behavior.

Common pitfalls

This section is available to Pro members. Upgrade to Pro

Applications

This section is available to Pro members. Upgrade to Pro

Frequently asked

How does network analysis explain why people join religious groups?

It shows that joining is overwhelmingly relational: people are recruited through pre-existing ties to friends, relatives, and acquaintances who are already members, rather than being persuaded in isolation by doctrine. Everton documents that recruitment and conversion follow social networks, so a person's probability of joining rises with the number and strength of their ties to insiders. This explains why movements grow along existing social lines and why outreach to socially isolated strangers is far less effective than mobilization through members' own networks.

What do centrality measures reveal about a congregation?

Centrality measures locate the structurally important members. Degree centrality highlights the well-connected; betweenness centrality highlights brokers who lie on the paths between others and thus control the flow of information, resources, and recruitment. In a congregation these brokers are often leaders or key recruiters whose removal would fragment the community or stem its growth. Mapping centrality therefore identifies who holds the community together and who channels newcomers and ideas across its boundaries.

Can the same network features both strengthen and weaken a religious community?

Yes - that duality is the organizing theme of Everton's framework. Dense, cohesive internal ties bind members and build the community up, but the relational structure also has loosening and tearing-down dynamics: bridging ties to outsiders can pull members away, and fault lines in the network can become lines of schism. Whether ties bind or loose depends on their configuration, so the same analytical toolkit explains both the formation and the fracturing of religious communities.

Sources

  1. 1.
    Everton, S. F. (2018). Networks and Religion: Ties That Bind, Loose, Build-Up and Tear Down. Cambridge: Cambridge University Press.
    ISBN 9781108404075

You have read it. What now?

Cite this page

ScholarGate. (2026, June 23). Congregational Network Analysis. ScholarGate. https://scholargate.app/sociology-of-religion/congregational-network-analysis