Beyond the dots

The benefits of social network analysis for alumni and grantee networks

When working on complex social challenges, individual efforts are rarely enough. Progress depends on how well people, organizations, and resources connect. Social Network Analysis (SNA) offers a way to make these connections visible – and actionable.

We are part of so many networks – in our personal and our professional lives. Networks shape who we learn from, who we collaborate with, and which ideas gain traction. For anyone starting or coordinating a network, a familiar set of questions quickly emerges: Who else is part of this network? How are people connected? And how does what we do affect others in the network and in the system we are operating in?

Why network mapping is useful

A network map is a snapshot that captures connections of people and organizations at a specific moment in time. Network maps help us to see who is part of this network, how they relate to one another, and patterns that emerge.

© Root Change / Pando

This snapshot does not claim to show the full truth. Networks are constantly evolving. But like a photograph, a network map allows coordinators to pause, zoom out, and reflect: What does our network currently look like – and what does that mean for our work?

Mapping networks helps coordinators move beyond individual anecdotes and see the broader environment in which their work takes place. In practice, this supports questions such as:

  • Where collaboration is already working well, and where it is not
  • Whether the network depends too heavily on a few key actors
  • Which parts of the network are well connected, and which remain isolated
  • How enabling (or constraining) the surrounding system really is

All of this can be tracked over time to see how the network is improving or where gaps may still exist.

© Root Change / Pando

What network maps can tell you

1. Connection dynamics: How the network is structured

Different network structures call for different coordination strategies:

  • Disconnected networks often signal early-stage networks. For coordinators, this suggests high potential impact from introductions, matchmaking, and low-threshold collaboration formats.
  • Highly centralized networks can be effective in the short term, but risky over time. If everything flows through one hub, coordinators may want to actively encourage peer-to-peer connections.
  • More distributed networks indicate shared leadership and resilience. Here, the challenge is often less about connecting people and more about aligning efforts.
© Root Change / Pando

2. Network roles: Why certain actors matter

Network maps make visible that actors contribute in different ways. For coordinators, this matters because each role enables different outcomes:

  • Active networkers are relevant if you want ideas, information, or invitations to spread quickly.
  • Resource hubs are critical when mentorship, expertise, or trusted guidance is needed – but they may also risk overload.
  • Brokers are valuable for connecting otherwise separate groups, especially across sectors or regions. At the same time, coordinators may want to reduce dependence on any single broker.
  • Influencers matter when advocacy, legitimacy, or wider visibility is the goal, as they amplify messages through their own well-connected circles.

3. Relationship quality: How connections function

Connections are not all equal. Beyond who is linked to whom, network analysis can highlight:

  • Power imbalances and one-sided dependencies
  • Strong but inward-looking clusters (densely interconnected subgroups of actors) that limit new ideas
  • Bridging relationships that enable learning across communities

Combining network maps with feedback data helps interpret what the structure actually means for participants. Simple but powerful questions include:

  • To what extent do you feel you have the relationships or partnerships you need to advance your work?
  • To what extent do you feel involved in decisions around your program/project activities?

For coordinators, this is relevant when the goal is not just more connections, but better ones.

Starting small and realizing when SNA might be too much

Social network analysis does not have to begin with complex tools. Many network maps start small, using simple surveys, snowball-style data collection, and basic information about who collaborates with whom. Even lightweight approaches can surface patterns that are hard to see otherwise and help those in the network understand the roles they are playing.

At the same time, it is important to stay realistic about what SNA can and cannot do. Because network maps are only snapshots based on incomplete data, SNA can be misleading if treated as definitive evidence rather than as a prompt for reflection. In such cases, lighter qualitative approaches or direct engagement with members may be more effective.

What ultimately matters is how results are used. Network maps become valuable when they are translated for others, discussed openly, and connected to real coordination decisions. Used thoughtfully and in combination with dialogue, social network analysis becomes a powerful tool for network coordinators to see where to connect, where to step back, and how to support collective action without trying to control it.