(HBSN) How to Build a Social Network

Today we’re debuting lists in Google Bookmarks, an experimental new feature that helps you easily share those sites with friends.Bookmarks are a great way to keep track of your favorite content across the web and we want to help you share them with your friends. To use lists, visit Google Bookmarks at google.com/bookmarks or by clicking “Manage all” in your Google Toolbar. From there, select the links you want to share and click “Copy to list.” Lists are private by default, but once you’ve created one you can share it with specific friends or even publish it to the web. For example, if a friend of yours is visiting Seattle for the first time and you have some local attractions bookmarked, you might want to create a new list for “Seattle attractions” and share it with your friend.

Google will algorithmically analyze your list to identify other potentially relevant links, such as the Seattle Aquarium. Similarly, when we detect that a list is relevant to a specific region, we provide a map of those places and relevant info for each place, such as addresses, hours and reviews.

Strings is a social tracking and filtering platform that allows you to share and uncover experiences that are relevant to you. Strings incorporates strong privacy controls, easy filtering, and tracking support that allows your actions on and offline to automatically identify personalized trends worth following.

Earlier this month social software designer Adrian Chan offered up a proposal for what he called Action Streams.

Action streams would not only share status/activity update meta-data but also permit updates to function as actions. For example, an invitation update posted in twitter could be accepted in Buzz. The vision for action streams thus involves a distributed and decentralized ecosystem of coupled action posts, rendered by third party stream clients and within participating social networks.

The Activity Streams discussion is participated in by engineers from companies like Google, Facebook, Nokia, Yahoo and others. Chris Messina, who joined Google in January, is one of the key voices, and semantic web builder Monica Keller, who left MySpace for Facebook last month, appears to be taking an even more active role in the effort than she had before.

central site whose owner has access to all data.

we envision a paradigm shift from client-server to a peer-to-peer infrastructure coupled with encryption so that users keep control of their data

major overhaul

personalized feeds

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Evri Acquires Radar Networks In Semantic Search Consolidation 10 Comments Share6 Buzz it by Erick Schonfeld on Mar 11, 2010 After shopping itself around to all the major search engines, Radar Networks finally found a buyer in another semantic search startup. Today, Evri is announcing that it will be acquiring Radar Networks, along with its core technical team and its main product, Twine. Rumors surfaced yesterday on ReadWriteWeb that Evri was being acquired, but that is not the case. Evri is the acquirer. I spoke with both CEOs this morning. They would not disclose the terms of the deal, but it is safe to assume that it was largely an equity-based transaction. Both Evri and Radar Networks share Paul Allen’s Vulcan Capital as their largest shareholder. Radar has raised $24 million in total capital, while Evri has raised $8 million. (At least that is what has been publicly disclosed. Paul Allen has poured much more money into Evri almost single-handedly, perhaps even more than Radar raised). Radar was unable to raise more during the recession and kept pushing out the release of its next product, T2, an ambitious project to create a semantic index of the Web. Using this semantic index, T2 can do a better job understanding what each Web page it indexes is about.

This acquisition falls in tandem with a re-launch of www.evri.com, incorporating a number of visual and technological updates designed to enhance the experience of discovery. With the introduction of a redesigned global navigation model and more intuitive ways to search, explore and filter the trending news and multi-media content of the web, Evri enables consumers to cut through the clutter and receive only content of interest to them. “At Evri, we’re striving to deliver a search engine that proactively discovers the most interesting, popular and trending stories on the web, filtering out the clutter and delivering information to consumers in timely, relevant and intelligent streams,” said Mr. Hunsinger. “With the acquisition of Twine and the launch of our new consumer site, we’re making good on the intuitive discovery experience we envision for the Web.”

ABOUT EVRI Evri (www.evri.com) automates how content is understood, filtered and shared, inviting consumers to participate in the conversations that matter most to them. With over 2.5 million real-time topical streams across thousands of categories, Evri is rapidly improving consumers’ access to information on the topics they value most. Publishers large and small have installed Evri applications on their Websites, including some of the world’s most prestigious news organizations like Hearst Entertainment (www.lmk.com) and the Times of London. Evri is based in Seattle, WA, and is funded by Paul Allen’s Vulcan Capital. Evri is a tradema

Evri Ties the Knot with Twine — Twine CEO Comments and Analysis March 11th, 2010  Share Today I am pleased to announce that my company, Radar Networks, and its flagship product, Twine, have been acquired by Evri. TechCrunch broke the story here. This acquisition consolidates the two leading providers of semantic discovery and search. It is also the culmination of my long and challenging venture to pioneer the adoption of the consumer Semantic Web.

At the time of beta launch and for almost six months after, Twine was still very much a work in progress. Fortunately our users and the press were fairly forgiving as we worked through evolving the GUI and feature set from what was initially just slightly better than an alpha site to the highly refined and graphical UI we have today. During these early days of Twine.com we were fortunate to have a devoted user-base and this became a thriving community of power-users who really helped us to refine the product and develop great content within it.

These losses meant we could no longer create compelling content or to manage the Twine community. So we put Twine.com on auto-pilot and let the traffic fall off. While painful to watch, this at least had the benefit of reducing the pressure to scale the system and support it under load, giving us time to focus all our energy on getting T2 finished and raising more funds.

Mark Fletcher

it's easy, it's clear, it's got good social design and it's real time.

SnapGroups makes it really easy to create a group discussion around a particular topic, invite people, set variable privacy controls and then participate in that conversation as part of a whole "newsfeed" style stream of updates from all your various groups in one place. Fresh comments, likes and dislikes get pushed to your browser live using a home-made bit of AJAX and the whole thing couldn't be much simpler. It's a lot of fun to use, in fact.

Theoretical Framework for a Future Computational Collective Intelligence 1) Difference between Collective Computational Intelligence and Computational Collective Intelligence To avoid any misunderstanding I would like to begin with a clear distinction between what I mean by Collective Computational Intelligence and Computational Collective Intelligence.  a) Collective computational intelligence involves collaboration between software agents, with a new level of computational intelligence emerging form their collaboration. These technologies involve swarm intelligence, ant colony simulation, web services, grid computing, distributed cloud computing and multi-agent computing in general.  b) Computational collective intelligence is a more multidisciplinary field. Its subject is the understanding of human collective intelligence and its augmentation by the means of ubiquitous distributed automatic symbol manipulation. Even if computational collective intelligence involves the use and development of collective computational intelligence, its scope is broader because it is not concerned only by computer engineering but promotes a strong collaboration between computing on the one hand and humanities and social sciences on the other hand.