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Click on the "Download the pdf" on this page to see this interesting study of the socnets of the day and don't do. How to find an audience ...

round up of socnet approaches, courtesy link by michael j p

Very nice. Now this is done by the FSF (Free software foundation) and all projects listed here are freeware (as opposed to both open-source and commercial ware). The group behind it (http://groups.fsf.org/wiki/Group:GNU_Social) has nice goals: "GNU social, true to the Unix-philosophy of small programs to do a small job, will be a decentralized social network that you can install on your own server. What if you could authorize your server to reveal as much, or as little information about you to other sites, as you wish... one time, one day, or forever?" "But you'll never beat Facebook, so why bother? Maybe everyone in the world won't use this, but not everyone uses Facebook either. Privacy is important, and lots of people value their privacy as well as their freedom to ensure the software they're using isn't doing things they don't want." "It is still in open discussion on the mailing list, if it makes sense to have this technology server-based or rather, for reasons of privacy, based on the user's computer. The current consensus seems to be, that there is a need for something quick that will federate existing server-based social community servers, yet at the same time we should maintain a long-term look on how to provide peer-to-peer privacy." See also: http://groups.fsf.org/wiki/Group:GNU_Social/Ideas

"On Karma: Top-line Lessons on User Reputation Design In Building Web Reputation Systems, we appropriate the term karma to mean a user reputation in an online service. As you might expect, karma is discussed heavily throughout the more than 300 pages. During the final editing process, it became clear that a simple summary of the main points would be helpful to those looking for guidance. It seemed that our first post in over a month (congratulations on the new delivery, Bryce!) should be something big and useful... This post covers the following top-line points about designing karma systems, drawn from our book and other blog posts: * Karma is user reputation within a context * Karma is useful for building trust between users, and between a user and the site * Karma can be an incentive for participation and contributions * Karma is contextual and has limited utility globally. [A chessmaster is not a good eBay Seller] * Karma comes in several flavors - Participation, Quality and Robust (combined) * Karma should be complex and the result of indirect evaluations, and the formulation is often opaque * Personal karma is displayed only to the owner, and is good for measuring progress * Corporate karma is used by the site operator to find the very best and very worst users * Public karma is displayed to other users, which is what makes it the hardest to get right * Public karma should be used sparingly - it is hard to understand, isn't expected, and is easily confused with content ratings * Negative public karma should be avoided all together. In karma-math -1 is not the same magnitude as +1, and information loss is too expensive. * Public karma often encourages competitive behavior in users, which may not be compatible with their motivations. This is most easily seen with leaderboards, but can happen any time karma scores are prominently displayed. [i.e.: Twitter follower count] "

Did I miss this one in the group?

FishMan - this sounds a little bit like Ning, a socnet for all folks (build your own!) Why do you think there is no monetization by any one of these efforts? That's a key part to what I'm imagining for HBSN. Hmmmmm

Checking into ad.ly, their pay rate and advertisers aren't based on your attention, they are based strictly on the number of followers you have. Their whole model is wrapped around slight-of-hand diversion. They figure that by dropping an ad tweet into your own personal twitterstream on an every other day basis, will appear innocent enough on the surface, that some (>1%?) will mistake it for something you personally tweeted and since they follow you blindly like hooded lemurs in Jonestown, they;ll drink your koolaid and make a buying decision. Seems a bit underhanded to me. And they aren't paying me because I might be a good target, they are paying me because I have a high enough unwashed masses quotient to justify the exposure. I set my rate for $5000 figuring that even though I have fewer than 100 followers, they are quality followers and not bots (except for Kurt) and that my endorsement to them is worth a great deal. So far, the till's empty.

if you advertise to me I will recycle it on an hourly loop and feed it back to you

maybe we need a new browser?

'fraid not. this is just a toolkit

I really should 'share' this to alerts management feature post in this group if I could do so easily I would. I run gmail in my browser to do 'alerts managment' something it does very poorly in concert with the variety of implementations of alerts from each socnet, this is something that can and should be improved

while this is not a social network, MUCH to learn from here, architecturally, conceptually

Great video; substantially, however, much as we are thinking about using APIs from the various groups we're a part of in the socnet areas (we like this, but don't like that, this is useful, forget this, et al.) This is remarkable stuff! I'm on the SIRI beta list - maybe by June they'll release the beta.

Interesting to use this as a impetus for the next big thing in social media.

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