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Group size

Group size strongly affects the types of group dynamics that occur. Below are some pointers to material on this.

Dealing with the crisis of groups becoming too large

In his "autounfocus" blog David Wiley (2003) gives a very useful chornological table of how slashdot responded to repeated crises related to group size (slashdot now has 2.9 million unique users) - in each case by letting go of central control and distributing tasks and responsibilities more widely through the group.

The Dunbar Number

Christopher Allen (2004) has written a long, fascinating post on the "Dunbar Number" - the optimal (or possibly maximum) size of human groups that can be deduced from primate research. The bottom line (not just from the Dunbar research but from the many anecdotes included in Allen's post) - groups work well if they consist of either 5 to 9 or 45 to 55 people. Also read the insightful comments at the end of the post.

Clay Shirky's take on large group dynamics

In "A group is its own worst enemy", Clay Shirky reviews many examples where the introduction of social software at first resulted in much creative collaboration, but then became overwhelmed by the volume of discordant talk because "dense, interconnected pattern that drives group conversation and collaboration isn't supportable at any large scale". Shirky's solution to this problem is to have some kind of explicit government with a set of enforceable rules. Particularly what is important is that different types of user or member will arise - i.e., that there will be different roles (also see the section in this book about collaboration roles). Where the group develops more or less organically, one must expect that an "inner group" (those who are most committed to and work hardest for) the group will emerge. If there is no direct means for this group to communicate among one another and to enforce some kind of government, they will find indirect ways of doing so. This core group could, of couse, become something sinister, but often is more like a "volunteer fire department".

Another way Shirky suggests for dealing with issues of scale is to engage in "soft forking". Hard forking (which doesn't always work) is where a large group splits into two or more subgroups (e.g. "group A is for discussing technical issues and group B for discussing strategic issues"). Soft forking is where group members from the start belong to smaller, somewhat overlapping groups, so that one is part of a smaller group, but simultaneously also only a few links away from anybody else in the larger system. 

"You have to find some way to protect your own users from scale. This doesn't mean the scale of the whole system can't grow. But you can't try to make the system large by taking individual conversations and blowing them up like a balloon; human interaction, many to many interaction, doesn't blow up like a balloon. It either dissipates, or turns into broadcast, or collapses. So plan for dealing with scale in advance, because it's going to happen anyway."

 




Collaborative learning environments sourcebook

Links and portals
    Classic texts
    Journals and magazines
    Research groups

Concepts and models
    Collaborative work
    Communities of practice
    Collaboration roles
        Identity and reputation
        Mentoring
    Collaboration types
    Collaboration content
    Copyright and open access
    Group dynamics
        Group size
    Learning organizations
    Learning processes
    Lifelong learning
    Networks
    Problem-based learning
    Diverse

Assessment
    Rubrics & Authentic Assessment
    Individual learning
    Group learning
    Prior learning
    Assessing process

Tools and technologies
    The digital divide
    Some older technologies
    E-mail
    Learning management systems
    Online communities
    Discussion groups
    Blogs
        Blogging tools
        Blog directories
    Wikis
    Artifact-centred tools
    E-portfolios
    Open source movement
    Commercial systems
    Network mapping tools
    RSS syndication
    Social networking tools
    Trackback
    Polling
    Reviewing
    Multi-channel tools
    Chat
    Others

Institutional Repositories
    Example repositories
    Choosing repository software
        Dspace
        Eprints
        Other repository systems
    Design issues
    Meta data

Quotes