The basis of community in my mind is in the interaction between people. The tools, mechanisms, processes, and communications we use are the outward expression of these interactions. A community really lies on a subliminal level in the form of the trust we develop directly with other members of the community.
For the most part, this trust is an implicit factor that we associate mentally with another entity (a person or a group). However, to externalize this factor into a meaningful measurement that many others can relate to can only be a rough approximation. Beyond that, to normalize that measurement across anyone, anywhere reduces it to a lowest common denominator of trust.
This is still important, however. By indicating how you would rate trust between yourself and another person, and by sharing this rating with others, you describe the relationship network around you. Metcalfe's law states that the usefulness, or utility, of a network equals approximately the square of the number of users of the system. This is useful in understanding the context in interactions between people. Context after all makes the difference between princes and purloiners.
You can build a complex directed graph by combining the various relationship networks of all the individuals in a community. However, that just becomes increasingly complex with each person you add. From Metcalfe's law, the possible number of connections is squared, making huge numbers of connections.
A simpler way is to create an aggregate trust rating per person across all the ratings they receive from others. Each entity thus has a single rating factor.
Actually, two rating factors really. You need to ask after the result of any interaction:
1. Helpfulness - Was this knowledge source helpful? Do you trust that they were providing the information in good faith and for your benefit?
2. Usefulness - Was the information provided by the knowledge source useful to you? Did the information help? Can you put it to use?
A person can be a source of useful information but be too busy to help people get that info. On the other hand, a person can truly want to help but not really know much about a subject.
How do you apply these ratings? Keep it simple: rate 1 through 5, lowest to highest, on each of these factors per interaction you have with someone.
What you really end up getting over time, is a measure of the reputation of an entity as well as the number of people they interact with. By measuring recurring interactions with the same knowledge source, you can also measure how loyal people are to that source.
More on this soon...
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