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A commodities trader from the pits of Chicago, although successful at his trading, grew bored with trading and decided to seek out another line of work. Trading had become dull and boring, and he craved some excitement. He loved dogs, and, given his many years of experience in speculation and such, he figured he would do well raising and racing greyhounds for a living. So he went shopping for a kennel, and eventually found one he could afford.

The kennel owner was very much a dog person — in addition to his five racing greyhounds, he raised Lhasa Apso dogs for shows and Dachshunds to meet the demands of the many people of German descent in nearby Milwaukee. The trader wasn’t really interested in the Dachshunds or the Lhasa Apsos; he simply wanted to sell them off and focus on the greyhounds. But the owner convinced him to stick with all three breeds.

“After all,” he said, “everybody loves wiener dogs. They’re the best breed for kids, and with all the Germans up in Milwaukee, they provide a nice steady income. The Lhasas are a bit more trouble, though. You have to be careful with the grooming. You have to keep cutting their hair or they get scruffy and no one will buy them. But it’s worth it; it’s a very popular breed, one of the few you can keep in an apartment with little trouble. People pay top dollar for the fluffy little guys. But you do have to keep cutting that hair.”

So the trader decided to keep the Lhasas and the Dachshunds. True to the previous owner’s words, they were a good steady source of income. His luck with the greyhounds was not so good. Of the five he bought with the kennel, one died shortly after the purchase and two were losers; they had to be put up for adoption. The other two, while decent racers, were only good enough to earn their upkeep — certainly not fast enough to be worth breeding. Eventually, they, too, would have to be put up for adoption.

Just when the trader thought he would never regain the excitement he had in his early days in the pits, a famous Milwaukee brewer started sponsoring wiener dog races at the greyhound tracks! The trader jumped on this like fifteen teenagers on a twenty-dollar bill! He hired a groomer to keep the hair cut on his Lhasas, eventually turning that part of the business over to her and making her a partner. He devoted full time to training, breeding and racing the Dachshunds. He became famous, at least in Chicago and Milwaukee. His combined income from the two breeds easily surpassed the money he made in the pits, and it was a lot more fun. When interviewed by a Chicago paper about the secret of his success, he replied: “There’s only two rules: first, do what you love and the money will follow. Second, cut your Lhasas and let your wieners run!”

M. Edward (Ed) Borasky

What phrase will you never hear Candice Bergen use?
“My daddy didn’t raise no dummies!”

 

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There’s an old saying, popularized by Jack Welch, that goes, “Be number one or number two, or get the Hell out!”� There’s a new site, http://tdash.org/stats/clients, that tracks Twitter client usage statistics in real time, using the Twitter Streaming API. So, who are number one and number two?

As you can probably guess, number one is the Twitter web page itself, currently at 38.95% of total tweets. Who’s number two? �berTwitter, currently available only for Blackberry, is number two at 9.30%. TweetDeck is number three at 6.55%. The remaining 45.2% is divided up by 6,372 clients, including a catch-all “API” for clients that haven’t registered a name in Twitter’s database!

You can see the Top 20 by default on the web site. All the clients listed in the Top 20 account for 85.91% of the tweets! The site is a feature of one of the clients, tdash, and tdash itself is “currently ranked #2335 among 6375 clients.”

So� if you’re building a Twitter client and want to be number one or number two, you’ve got your work cut out for you. In fact, if you’re not already in the Top 20, I’d say you’re wasting your time. I expect we’ll see the numbers change a bit as the market shakes out, but I don’t expect to hear much from names that aren’t already in the Top 20.

Comments are now open – what do you think?


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Update 2011-03-03

Upon careful reading of Twitter’s API Terms of Service, I have decided to delete this blog post. Specifically, it may be in violation of item 4.C. below:

4. You will not attempt or encourage others to:

A. sell, rent, lease, sublicense, redistribute, or syndicate the Twitter API or Twitter Content to any third party for such party to develop additional products or services without prior written approval from Twitter;

B. remove or alter any proprietary notices or marks on the Twitter API or Twitter Content;

C. use or access the Twitter API for purposes of monitoring the availability, performance, or functionality of any of Twitter’s products and services or for any other benchmarking or competitive purposes; or

D. use Twitter Marks as part of the name of your company or Service, or in any product, service, or logos created by you. You may not use Twitter Marks in a manner that creates a sense of endorsement, sponsorship, or false association with Twitter. All use of Twitter Marks, and all goodwill arising out of such use, will inure to Twitter’s benefit.

E. use or access the Twitter API to aggregate, cache (except as part of a Tweet), or store place and other geographic location information contained in Twitter Content.

I want to emphasize that Twitter has not asked me to take this blog post down! I don’t know that it violates the letter of item 4.C., but I think it violates the spirit of that clause, so I am removing it.

 


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As you may have seen, Twitter is adding a feature to Twitter Search to rank tweets by popularity. Here’s the announcement from Twitter’s Developer Advocate, Taylor Singletary, to the Twitter Developers’ Google Group:

“The Search team is working on a beta project that returns the most popular tweets for a query, rather than only the most recent tweets. This is a beta project, but an important first step to surface the most popular tweets for users searching Twitter.

“You can expect many improvements as we tune and tweak our algorithms, but we want to give everyone a heads up so we can go over the implications for those consuming the search API.”

There’s quite a bit of discussion on the group about this within the developer community, which you can read here. Most of it seems to be about the technical aspects, though, and not about the philosophical or marketing aspects. So I’d like to get a discussion going here about the coming changes in those contexts. Some frames of reference:

There are two types of search users: those who are searching for something and those who want to be found. Search would not exist if either was missing! Pause a moment and let that sink in, because I think it’s something we often forget.

Search costs money. The web crawlers, the indexes, the information retrieval algorithm development, the disk drives, memory and processors and the electricity to power all of them is a significant fraction of the world’s total IT spending, and this spending is growing faster that many other parts of IT spending.

Seekers can further be divided into two classes: those who are “just looking for information” and those with commercial intention – people with real needs or wants who want to buy something. Microsoft distinguishes between the two and even provides keyword tools to help search marketers distinguish between the two!

And those who want to be found can similarly be divided into two classes, although the distinction is a little less clear here: those who want to teach/inform and those who want to market/sell. The search “bargain” we have mostly signed up for is this:

Those with something to sell allocate part of their marketing budgets for advertising, search engine optimization, etc. The aggregated advertising money pays for the search infrastructure, which is then made available to all seekers, regardless of whether they are looking for information or want to buy something. The seeker in general pays nothing for the search service.

So that’s the context. If you’re either type of search user – seeker or seller – what do you think about adding popularity to Twitter Search? You can comment here via IntenseDebate or on Twitter using the hashtag #tweetsearchpop.

 


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As you may know, Twitter is in the process of rolling out a new place-based location feature: Twitter�s Website Now Attaches Location to Tweets. Twitter announced the mechanics of the new service to the developer community on March 1, 2010: Developer Preview: upcoming geo features (a.k.a “A place is not just a latitude and a longitude – it has a name”). What you need to know:

What You Need to Know About Privacy

  1. Location tagging of tweets is disabled by default! If you do nothing, your tweets will not be tagged with the place where you entered them!
  2. If you do decide to enable location, Twitter will ask the browser to determine your location. I don’t know which other browsers have this capability, but I know Firefox does. How Firefox determines your location, and how to prevent that if you wish to do so, is documented here: Geolocation In Firefox.
  3. If you later decide to purge the location information from your tweets, all you need to do is go into your Twitter account settings and click on the “Delete all location information” link. Twitter will delete all stored location information from your tweets.

As far as I know, the new place-based location tagging is not currently being added to the tweets coming out of Twitter Search. As of yesterday, 2010-03-10, this was the case. One other thing you should know: when you delete geotagging information from a tweet, Twitter sends a “geo-scrub” message to all services downstream of the Streaming API. This tells those services to delete the geotagging information from the tweet. It is, of course, up to them to do so.

Twitter API Geotagging Best Practices

Twitter has clearly documented best practices for members of the developer community like me. Here’s the link: Geotagging API Best Practices. I’m not going to repeat the whole document, but it’s clear that Twitter has paid serious attention to the potential for abuse and set a stake in the ground that I haven’t seen from other services. For example,

“Explain the value of Geolocation to users

“Users will have less interest in providing their current location if they are unaware of the value on the other side of the transaction. You as an app developer should always try to provide immediate value to incentivize the user to provide the information. This can come in various forms — showing nearby tweets, narrowing search based on the user’s location, promoting user discovery based on proximity to the user, etc.”

A Challenge to the Location-Based Services Community

  1. As Twitter states, “Users will have less interest in providing their current location if they are unaware of the value on the other side of the transaction.” So my challenge to all of the vendors of location-based services is, “Show me the value!” What do I get from broadcasting to the world where I am? How does this solve a real problem for me?
  2. What are your best practices for developers? How are you ensuring that your developer community honors them?
  3. If you consume data from the Twitter Streaming API, are you honoring the “geo-scrub” messages and deleting location data from your databases?


 

I’ve just learned that the U.S. Geological Survey (USGS) has started a project to enhance detection of earthquakes using Twitter! The project is called U.S. Geological Survey Twitter Earthquake Detector (USGSTed). The web site is http://recovery.doi.gov/press/us-geological-survey-twitter-earthquake-detector-ted/, and the Twitter feed is @USGSted.

According to the site, “Social Internet technologies are providing the general public with anecdotal earthquake hazard information before scientific information has been published from authoritative sources.  People local to an event are able to publish information via these technologies within seconds of their occurrence. In contrast, depending on the location of the earthquake, scientific alerts can take between 2 to 20 minutes.”

As you probably recall, I’ve been working with some of the projects that arose after the Haiti earthquake in January. I don’t have much data from that earthquake, but I do have data from the Chile quake and today’s Taiwan quake.

To give you an idea of how rapidly Twitter responds to an earthquake, the Chile earthquake occurred Saturday, February 27, 2010 at 06:34:14 UTC. In my data collected after the quake, using GeoTweetHistory.pl, the first tweet about the earthquake has the time stamp 06:34:37 UTC. That’s right, the first tweet was sent only 23 seconds after the quake! That first tweet reads simply, “TEMBLOR”.

If you’d like to look at the data from today’s Taiwan earthquake, I’ve uploaded  the data file from GeoTweetHistory.pl to http://github.com/znmeb/GeoTweetHistory/blob/master/taiwan_quake.zip. The earthquake occurred Thursday, March 04, 2010 at 00:18:52 UTC.

I don’t read Chinese, so I can’t tell when the first tweet about the earthquake was. If you can read Chinese and would like to help, download the file, uncompress it and open it in a spreadsheet. The collected tweets are displayed with the newest tweet first. You should see tweets about the earthquake shortly after “2010-03-04 00:18:53 +0000″. Let me know on Twitter or in the comments here on the blog. Thanks!

 



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