Philanthropy
Notes on Nonprofit Networks
How do nonprofit networks work, and what does it mean for foundation funding?

I’ve been thinking a lot about networks, network effects, and philanthropy. I decided to take my questions, “What do nonprofit networks look like, how do they work, and what does this mean for philanthropy?” to the experts over at FAS.research, who do very important work mapping networks.
Here’s some of what they told me:
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“It’s a large and diverse universe. Nonprofits have many different network structures and properties depending on the function they serve. It’s the classic case of form follows function. A local direct service nonprofit like Glide Memorial Church will have a different network structure than a global movement-based nonprofit like ForestEthics. And if we think in terms of nonprofit production cycle, a research nonprofit like the Institute for Politics and Democracy on the Internet (IPDI) is going to have a different network than an advocacy organization like NRDC, which might use IPDI’s findings to sharpen its online advocacy work.
Because it is a large and diverse universe, and one where nonprofits are fairly evenly distributed geographically, the links within and between sectors are limited in their number (low-link density) and in their function (low multiplexity). This leads to higher search and collaboration costs. This makes it tough for players to see what is being done elsewhere in the sector and find collaborators. This leads to low innovation, duplication of effort, and stranded local innovation, among other things.
I think this is to be expected, given the dramatic growth of the sector since the 1950s. In the United States alone, we have gone from tens of thousands of nonprofits to around 1.5 million in about 50 years. We need to think of the nonprofit sector in terms of an evolutionary lifecycle. We may still be in the primordial soup. My sense is that the larger, more complex, collaborative structures are yet to emerge.
Which begs the question, “What can we do to speed up the sector’s development?” Our world needs a powerful social sector right now. Do we need more connections? Not necessarily. A large number of indiscriminate new connections can lead to network congestion. That means things slow down. You have to be strategic about how you link resources.
Our work in researching technology clusters is instructive. Tech clusters like Silicon Valley create tremendous value because they optimally link diverse resources in pursuit of a shared goal. And this is key: Participants in this ecosystem are…drum roll…clustered! They’re close to each other both geographically and socially. And perhaps more importantly, they’re also linked in the right pattern. The research, development, production, and distribution functions of the system are distinct and robust, but optimally linked to create and spread technology innovation. The universities, VCs, entrepreneurs, and professional services in Silicon Valley are linked in what can be described as an autocatalytic set - a technical name for a virtuous circle. This means that the outputs of each entity are useful inputs for other entities and that, as a set, they catalyze their own production. They have other properties too. Like a rainforest, they tend to cycle energy with increasing rapidity through the system as the system evolves, creating increasing numbers of niches and innovation. Think of the rapid escalation in VC investment and the increasing diversity of tech investments available. In other words, the system scales. And once one is set in motion, it can be difficult to stop since each participant gets increasing rewards for being part of the set. Think of the incredible personal wealth that has been created in Silicon Valley.
Another way to look at it is that participants experience self-sustaining growth through collaboration with other dissimilar entities. Okay, there must be something to this, since it sounds like a paradox!
From my experience, there are no structures even remotely like tech clusters in the nonprofit world. One mistake I see over and over is that when folks organize nonprofit networking events with an eye to strengthen a specific sector, they make the mistake of mainly inviting nonprofits. What does this suggest about how foundations work in the sector, and what they could do differently?
So, first of all, thanks to Neal, Doris and Harold at FAS. Their work is very interesting, and you can see some of it on xigi.net and more of it on their own site.
My thoughts on what these observations might mean for philanthropy, and foundation funding in particular:
- Thinking about networks isn’t enough - funders need to know what kinds of networks are good for what purposes, what kinds of networks exist in the geographies and issue areas they care about, and what kind of lever or inflection point exists and what can be shifted to accelerate, transmit, redirect, or expand.
- Networks exist of many things, and across many things - people, institutions, ideas, materials, money.
- And, of course, networks of funders exist - of relationships, grantees, board and staff, founding families, vendors. What do these look like and what do they do?
- How do funder networks and organizational networks compare?
- What types of actors beyond nonprofits matter when thinking about social change or public good - and how, if at all, are these actors connected or isolated from existing networks?
Here’s a thought, one I mentioned to the folks at FAS. What if we could map regions of actors by their funders - all the environmental groups and activists in the San Francisco Bay Area or all youth programs in Detroit?
What would you expect to see? What if you didn’t see what you expected?
What about mapping the same groups (Bay Area environment or Detroit youth groups) by networks of board members? Of individual donors? Corporate contributors? Isn’t it likely that the same organizations have very different types of networks depending on what types of connections are being mapped? And doesn’t that matter when we think about where to put more money, more people, more capacity (or, conversely, less money, people and capacity)?
It seems to me that we know that networks are out there. But we don’t know enough about them, how they work, and what they can/cannot do to make knowledge of their existence useful. This, of course, is not limited to philanthropy - network theorists themselves don’t all agree on how networks work. Here’s an article about one theory-publicizer, Duncan Watts, taking on another, Malcolm Gladwell.
Still, really looking at how networks work, what is connected to whom and whom to what, and what might be accomplished through certain kinds of networks - this all seems worthwhile when making choices about limited resources. Legend has it that mapping efforts such as these are what led to the Democracy Alliance - what might similar efforts accomplish on social and philanthropic issues?
Lucy Bernholz is the founder and president of Blueprint Research & Design, Inc, a strategy consulting firm that helps philanthropic individuals and institutions achieve their missions. She is the publisher of Philanthropy2173, an award winning blog about the business of giving and serves as executive producer of The Giving Channel on Fora.tv.







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COMMENTS
BY Jeff Trexler
ON February 12, 2008 09:12 PM
Actually, Duncan Watts is an academic theoretician. Malcolm Gladwell is a journalist who publicizes academic research. While in some fields it’s increasingly a distinction without a difference, here it matters. Watts is collecting and systematizing hard data; Gladwell makes the work of theoreticians such as Watts more accessible to the general public. Compare, say, Watts’ dissertation or the landmark Strogatz-Watts Nature article and you’ll see the difference immediately, even if the math seems unfamiliar.
I’m not saying that one approach is better than the other—far from it—just that they are qualitatively distinct. Rather than seeing the difference between the two as evidence of noteworthy disagreement among network theorists, a network theorist would see it more as a reflection of the scholarship moving beyond the point Gladwell was describing back in the late 1990s. Of course, some academic network theorists would also be a little miffed at the thought of Gladwell getting rich on their ideas, but them’s the breaks.
As for your more general point re networks, amen—the mapping should be done, and it’s great to see the nonprofit community coming around to this. I’ll never forget giving a talk on nonprofit network mapping back in the day and being told that such a project would be frivolous because networks were a fad!
Still, one substantial obstacle I’ve found in talking to nonprofiteers about datamining is privacy. To make maps meaningful—as opposed to pretty pictures of colored lines—we’d want to have access to the comprehensive data accessible to, say, Google, Facebook or Verizon, so as to give us the ability to plot email, text, telephone and even real-world contacts in real time. This is possible technically, but when people think a bit about what this could expose they get nervous. And with good reason, since you can learn a lot about a person or group with even just a little bit of data. If we want to have the benefits of effective mapping, we’re going to have to accept some real and difficult trade-offs.
BY Ian Felton
ON February 2, 2009 09:15 AM
As someone who is creating a nonprofit network, I believe the idea of mapping nonprofit networks very important. I believe that we are at a point in society, where the satisfaction people receive from antiquated uses of technology (I’m really thinking ahead here) like passively sitting in front of a TV screen is quickly becoming dissatisfying for people.
As a result of this, I hope that more people will adopt technology to become part of networks, including nonprofit networks, to get more out of life than what technology is currently providing. Its asking for a lot, but mapping the evolution of nonprofit networks would help shed light not only on those entities and systems, but on how other systems and entities in our world are changing.