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Vanessa Vaile

Daily Kos: UPDATED: The HB Gary Email That Should Concern Us All - 0 views

  • According to an embedded MS Word document found in one of the HBGary emails, it involves creating an army of sockpuppets, with sophisticated "persona management" software that allows a small team of only a few people to appear to be many, while keeping the personas from accidentally cross-contaminating each other. Then, to top it off, the team can actually automate some functions so one persona can appear to be an entire Brooks Brothers riot online.
  • Using the assigned social media accounts we can automate the posting of content that is relevant to the persona.
  •  There are a variety of social media tricks we can use to add a level of realness to all fictitious personas
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  • Really? I thought. How do we know if those are real people? Twitter has to be the easiest thing to fake and to automate with retweets and 180 characrer max sentences. To the extent that the propaganda technique known as "Bandwagon" is an effective form of persuasion, which it definitely is, the ability for a few people to infiltrate a blog or social media site and appear to be many people, all taking one position in a debate, all agreeing, for example, that so and so is not credible, or a crook, is an incredibly powerful weapon.
  • I believe there are many people though who will base their judgment on rumors and mob attacks. And for those people, a fake mob can be really effective.
hansdezwart

Social Network Analysis - 0 views

  • Nodes that connect their group to others usually end up with high network metrics. Boundary spanners such as Fernando, Garth, and Heather are more central in the overall network than their immediate neighbors whose connections are only local, within their immediate cluster. You can be a boundary spanner via your bridging connections to other clusters or via your concurrent membership in overlappping groups. Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters. They are in a position to combine different ideas and knowledge, found in various places, into new products and services.
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    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
hansdezwart

The original proposal of the WWW, HTMLized - 0 views

  • Non requirements Discussions on Hypertext have sometimes tackled the problem of copyright enforcement and data security. These are of secondary importance at CERN, where information exchange is still more important than secrecy. Authorisation and accounting systems for hypertext could conceivably be designed which are very sophisticated, but they are not proposed here. In cases where reference must be made to data which is in fact protected, existing file protection systems should be sufficient.
  • In a complex place like CERN, it's not always obvious how to divide people into groups. Imagine making a large three-dimensional model, with people represented by little spheres, and strings between people who have something in common at work.
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    This document was an attempt to persuade CERN management that a global hypertext system was in CERN's interests. Note that the only name I had for it at this time was "Mesh" -- I decided on "World Wide Web" when writing the code in 1990.
hansdezwart

Mapping Our Friendships Over Time and Space: The Future of Social Network Analysis - 0 views

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    What new things could we discover if social network analysis took time and space into account, in addition to the raw connections between people?
hansdezwart

Social Graph API - Google Code - 0 views

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    With so many websites to join, users must decide where to invest significant time in adding their same connections over and over. For developers, this means it is difficult to build successful web applications that hinge upon a critical mass of users for content and interaction. With the Social Graph API, developers can now utilize public connections their users have already created in other web services. It makes information about public connections between people easily available and useful.
Tony Searl

Datawocky: More data usually beats better algorithms - 0 views

  • This simple change made Google's ad marketplace much more efficient than Overture's. Notice that the algorithm itself is quite simple; it is the addition of the new data that made the difference.
  • Of course, you have to be judicious in your choice of the data to add to your data set.
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    But the bigger point is, adding more, independent data usually beats out designing ever-better algorithms to analyze an existing data set. I'm often suprised that many people in the business, and even in academia, don't realize this.
hansdezwart

Freebase - A wealth of free data - 0 views

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    An entity graph of people, places and things, built by a community that loves open data.
hansdezwart

Awesome: DIY Data Tool Needlebase Now Available to Everyone - 0 views

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    Needlebase allows you to view web pages through a virtual browser, point and click to train it in understanding what fields on that page are of interest to you and how those fields relate to each other. Then the program goes and scrapes the data from all of those fields, publishes them into a table, list or map, and recommends merges of cells that appear to be mistakenly separate. It's very cool and it lets non-technical people do things with data quickly and easily that we used to require the assistance of someone more technical to do.
Tony Searl

Living Analytics Research Centre - 2 views

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    conduct research on behavioural and social network analytics and behavioural experiments so as to discover and harness the laws of information network evolution for networks of people, organisations
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