Tag Archives: Social Networks

How does professor Lance Fortnow use Twitter?

Written by Chris F. Masse on March 5, 2010 — Leave a Comment

Lance “P NP” Fortnow explains his usage of Twitter.
Jason Ruspini and David Pennock should listen.

Posted in Information Technology | Also tagged blogging, Information Technology, Lance Fortnow, micro-blogging, Twitter

There are now 9 co-managers of the LinkedIn group on prediction markets.

Written by Midas Oracle on December 5, 2008 — Leave a Comment

We are now 160 164 165 167 members —and growing every day.
We are the world’s #1 social networking group on prediction markets.
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1. How To Join Us

From within LinkedIn, FaceBook, or Google Reader / Google Mail, send me (Chris Masse) an invite and I’ll accept it.
You are also invited to join the Prediction Markets group at [...]

Posted in Midas Oracle Network | Also tagged Chris F. Masse, Chris Masse, FaceBook, Google, LinkedIn, LinkedIn group on Prediction Markets, Midas Oracle, Midas Oracle Network, network, networking, People, Prediction Market People, prediction markets, Prediction Markets group at LinkedIn, social networking

Do make the PMs logo visible on your LinkedIn profile —right now.

Written by Midas Oracle on November 16, 2008 — Leave a Comment

We are now 152 160 members —whereas John M. and his “clusters” are only 37.
We are the world’s #1 social networking group on prediction markets.
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1. How To Join Us

From within LinkedIn, FaceBook, or Google Reader / Google Mail, send me (Chris Masse) an invite and I’ll accept it.
You are also invited to join the Prediction [...]

PREDICTION MARKET TECHNOLOGY NOT IN GARTNER’S TOP 10 TECHNOLOGIES LIST

Written by Chris F. Masse on May 31, 2008 — 1 Comment

Via Jim Anderson
Gartner:
1. Multicore and hybrid processors
2. Virtualization and fabric computing
3. Social networks and social software
4. Cloud computing and cloud/Web platforms
5. Web mashups
6. User Interface
7. Ubiquitous computing
8. Contextual computing
9. Augmented reality
10. Semantics

Posted in Business, Information Technology, Inventions & Innovations | Also tagged cloud computing, cloud/Web platforms, Gartner, hybrid processors, Jim Anderson, prediction market technology, social software, technologies

Using Prediction Markets to Track Information Flows: Evidence from Google — VIDEO — Bo Cowgill on Google’s enterprise prediction markets — O’Reilly Money:Tech

Written by Chris F. Masse on May 23, 2008 — 1 Comment

Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – by Bo Cowgill, Justin Wolfers, and Eric Zitwewitz – 2008-01-06
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Via Daniel Horowitz (Business and Technology Consultant)
Blip.TV — (FLV file)
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It’s cool.
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Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – [...]

Posted in Analysis (Accuracy & Precision), Analysis (Market Efficiency), Analysis (Meta), Cases, Exchanges & Markets | Also tagged active trader, Bo Google, business and technology consultant, CEO, Chief Economist, conference, corporate prediction markets, Daniel Horowitz, enterprise prediction markets, Eric Schmidt, Eric Zitwewitz, event derivative markets, event derivatives, gas prices, Google, Google's enterprise prediction markets, Google's prediction exchange, Google's prediction markets, Hal Varian, intenal prediction markets, internal prediction markets, Justin Wolfers, Money-Tech, O'Reilly, prediction markets, private prediction markets, Tech Using Prediction, Trader, United States, USD, video

Google’s Bo Cowgill takes a swipe at the prediction market software vendors.

Written by Chris F. Masse on March 26, 2008 — 2 Comments

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Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – by Bo Cowgill, Justin Wolfers, and Eric Zitwewitz – 2008-01-06
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Bo Cowgill:

[...] Trade-by-trade data can reveal characteristics of specific working groups: What they know, how they feel, how they process and share information and how all of that changes [...]

Posted in Analysis (Industry), Consulting | Also tagged architect, Bo Cowgill, Consensus Point, corporate prediction markets, David Perry, enterprise prediction markets, Eric Zitwewitz, event derivative markets, event derivatives, Google, Google's enterprise prediction markets, Inkling, inkling markets, internal prediction markets, Justin Wolfers, Motorola, NewsFutures, prediction market consultants, prediction market software vendors, prediction markets, Prime Minister, private prediction markets, Qualcomm, Siemens, software engineers, software-and-consulting model

Do Google’s enterprise prediction markets work? — Using Prediction Markets to Track Information Flows: Evidence from Google

Written by Chris F. Masse on March 26, 2008 — 18 Comments

Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – by Bo Cowgill, Justin Wolfers, and Eric Zitwewitz – 2008-01-06
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VIDEO — Bo Cowgill on Google’s enterprise prediction markets — O’Reilly Money:Tech
Blip.TV — (FLV file)
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I’ll first publish some excerpts from the paper on Google’s enterprise prediction markets (set up [...]

Posted in All Best Posts Ever, Analysis (Accuracy & Precision), Analysis (Market Efficiency), Analysis (Meta), Business, Cases, Exchanges & Markets | Also tagged accuracy, active trader, advanced researcher, anonymous trading, architect, Bo Cowgill, CDA model for their markets, CEO, Chief Economist, computer-aided facility management systems, corporate applications, corporate prediction markets, crowd-wisdom applications, demographic networks, Doug Banks, economist, efficieny, Enterprise prediction market consultant, enterprise prediction markets, Eric Schmidt, Eric Zitwewitz, Eric Zitzewitz, event derivative markets, event derivatives, gas prices, Google, Google Using Prediction, Google's enterprise prediction markets, Google's prediction exchange, Google's prediction markets, GPS, Hal Varian, high profile applications, Ilya Kirnos, implicit social networks, internal prediction markets, James Surowiecki, Jed Christiansen, Justin Wolfers, language networks, Linux, Michael Giberson, open-source software, Patri Friedman, Piaw Na, prediction markets, Prime Minister, Private, private prediction markets, real estate management group, Robin Hanson, social/professional networks, software engineers, software-and-consulting model, the New York Times, Tim Harford, Trader, ubiquitous communication technology, United States, USD, value applications, Zubin Jelveh

Making a site easy to use should be the first priority.

Written by Chris F. Masse on May 18, 2007 — Leave a Comment

Usability expert Jakob Nielsen:
[...] Good practices include making a site easy to use, good search tools, the use of text free of jargon, usability testing and a consideration of design even before the first line of code is written. [...]
Research suggests that users of a site split into three groups. One that regularly contributes (about [...]

Posted in Internet Marketing - Internet Commerce, Internet Usability, Prediction Journalism | Also tagged Build services, good search tools, Internet Usability, Jakob Nielsen, web design, Will Hill

Should prediction market firms use blogs?

Written by Chris F. Masse on April 5, 2007 — Leave a Comment

BusinessWeek on McKinsey’s global survey:
[...] Only 16% of the companies surveyed said they were investing in blogs, compared to 63% for web services, 28% for peer-to-peer networks, and 19% for social networks. 78% identified web services as the Web 2.0 technology/tool most important their their business. [...]

Posted in Information Technology | Also tagged content management system, David Perry, event derivative traders, Hollywood Stock Exchange, HTML, HTML editor, identified web services, media people, prediction markets, technology/tool, Tennessee, web publishing, web publishing tool, web publishing tools, Web services

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