Read a real- time trend of Australian Open and notice the description of status doesn’t have to contain a very specific data, but a trend that tells a movement of interests in graphical. This is about the whole story.
This service @ Google derives from Google Trend
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I’m surprised that I have so many applications linked in my Facebook account. Adding an application in your account of Facebook is as simple as just one- click. But how to remove your unwanted and spammy application? In 3 steps >
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The Smallthought staff has become part of Twitter’s analytics team, where they will integrate Trendly features and technology into Twitter’s existing systems, as well as help develop new products.
In April, Twitter launched with a limited number of partners like Starbucks and Best Buy the Promoted Tweets program, which is designed to let companies market their products and services on the popular microblogging and social-networking site.
As with all advertising services, a key to the success of Promoted Tweets will be Twitter’s capacity to analyze the popularity and effectiveness of these ads so that campaigns can be evaluated and optimized.
The analytics for Promoted Tweets may be more challenging than for other online advertising programs for a few reasons, including the fact that the ad format for Promoted Tweets will be the same as the format for regular “tweets” and that Twitter’s usage is going through the roof, with 2 billion “tweets” posted in May, according to Web monitoring company Pingdom.
“Every day millions of people use Twitter to create, share and discover information, and as we grow, analytics becomes an increasingly crucial part of improving our service,” reads Twitter’s announcement of its Smallthought acquisition.
Credit & Resource: http://www.networkworld.com/news/2010/061010-twitter-buys-analytics.html
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Google Analytics does a great job of collecting your data, but it does a bad job of helping you understand it. For example, at Dabble DB, we are very interested in how many people come to us after searching for online database. Here’s what that keyword’s traffic looks like for the first few months of 2009:
It’s definitely going up and down a lot, but we don’t really care about daily fluctuation, we care about the trend. On average, how many people should we expect each day? And is that changing?
Trendly uses a statistical model to answer that question for us. It assumes that our traffic is going to stay the same for days, weeks, or even months at a time, but every once in a while something is going to change — like our ranking for “online database” improving, sending more people our way. The red line shows how Trendly sees this keyword over the same time period:
According to Trendly, our daily visitors from “online database” went up from 24 to 40 in early January, and then again up to 50 in early February. It reports these changes as items in a news feed:
By boiling several months of data down to a couple of items in a news feed, Trendly helps us keep on top of many different things at once. For example, this same feed actually tracks all of our search keywords:
You can see that our traffic from searches for co-founder Avi Bryant had a bump at the end of January (around the time he gave a talk at CUSEC), but went back down again. The sparklines beside each news item show those patterns concisely.
The news feed is continuous, and shows up to three years of history. If we want to see the earlier change to “online database”, we just scroll down a few weeks:
The news feed does a great job of showing what’s changed, but it’s nice to put those individual keywords into a wider context. A chart running down the left provides the big picture:
The chart is locked to the same timescale as the news feed — and so, unlike most charts, time runs vertically. Each colored layer in the chart represents a single keyword. For example, the big green layer represents visits from “online database”. If I click on either the chart or the news item, the layer will pop out:
You can see how the green layer gets wider at the same time as the news item appears. The wider the layer, the more visits we get each day. The wider the chart as a whole — the sum of all the layers — the more visits we get in total from search. You can also see that Trendly tries to make things more meaningful by clustering similar keyword phrases together: The popup for “online database” shows that, while most (86%) of the searches in this cluster are for exactly “online database”, there are less frequent similar phrases that are also being included here, like “make an online database”.
Trendly isn’t just for tracking keywords. It has feeds for many of the reports you’re used to from Google Analytics: referrals, content, ad campaigns, and more. If you use goal tracking or ecommerce, Trendly also helps you track those:
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I discussed the subject with one of colleagues who is a Cloud Computing architect. I’m logging what my comment here
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To continue our previous talk is a huge discussion. I’d recommend you could start to get involved in http://twitter.com and follow
http://twitter.com/mashable
http://twitter.com/j3ffyang -> me
http://twitter.com/OpenIBM -> I own this too as of being admin for IBM Open Source Global community
When you hit any of above, you can see the bytes come from http://aws.amazon.com actually, which is an IaaS with no doubt. Twitter is a kind of social collaboration network -> an application running over Amazon Web Services (AWS). Twitter doesn’t own any hardware resources. Whenever Twitter needs computing capability, it goes to AWS and AWS fulfills its request… on demand. Even though Twitter sometimes out of service due to its overload.
@ IaaS, AWS not only gives power of hardware (CPU, memory, disk and network…), but also provides plugin / API to connect Twitter with Hadoop… and Simple Queue Service (SQS), and Simple Database (SDB).
You shouldn’t be surprised @ Twitter’s power to gather thousand of thousand developers around it, if keeping our eyes open. (Some reasons of the motivation of social collaboration in term of Web2.0). See these:
http://tweetwheel.com
http://ftags.com
http://tweetvalue.com/
http://www.tweetizen.com/
http://twittersnooze.com/
http://mrtweet.net/home/j3ffyang
http://tweettrail.com/search/hadoop
…
…
This list is almost endless. They’re all independent of twitter.com. The above are all SaaS, plugable into Twitter.com where provides API -> http://apiwiki.twitter.com/ and http://twitter.com/downloads – @ PaaS
This is an ecosystem.
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Collaboration cross firewall: I started to get involved in a Cloud project and had to travel to Shanghai every week in past one month. While out of my office during trip, or boarding @ airport, or sitting in cab, I’m out of the company firewall! That means I can’t access BlogCentral. My brain must “stop” in front of firewall. If I want to keep it thinking, I’d switch to public Web2.0 places.
Ease of combination: Have you used Ping.fm ? Or you may ask what Ping.fm is? In short, it’s a hub of collaboration and a practice of innovation. Let’s see a scenario: In a cab, I see a scene. I capture a photo by using my Nokia E71 smartphone (iPhone works too). After shooting, a small icon of mail prompts. Click mail icon, I’m in mail mode with the capture picture as an attachment. I pick an email address from contact list. Such email address is like vfr45t@ping.fm that was randomly assigned by Ping.fm . Whatever message sent to such account will automatically be updated into my accounts @ Twitter, Facebook, del.icio.us, LinkedIn, MySpace, Blogger, Identi.ca, WordPress, Flickr, FriendFeed, Mashable, etc, you name it… All these could be finished within one minute. (Security is another topic though. I’d very carefully post the data in this very web2.0 way.)
Performance: WordPress is good. Working on company’s BlogCentral is a challenge. I lean to write @ twitter.com as I’m lazy and don’t have to write much 
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Source: http://blogs.cioinsight.com/knowitall/Gartner….htm
Egham, U.K., August 11, 2008 — Gartner, Inc. has identified 27 emerging technologies and predicts that eight of these will have a transformational business impact and should be strongly considered for adoption by technology planners in the next 10 years, according to the report “Hype Cycle for Emerging Technologies, 2008.”
“Although Web 2.0 is now entering the Trough of Disillusionment, it will emerge within two years to have transformational impact, as companies steadily gain more experience and success with both the technologies and the cultural implications,” said Jackie Fenn, vice president and Gartner Fellow. “Later — in between two and five years — cloud computing and service-oriented architecture (SOA), which is moving up the Slope of Enlightenment, will deliver transformation in terms of driving deep changes in the role and capabilities of IT. Finally, public virtual worlds, which are suffering from disillusionment after their peak of hype in 2007, will in the long term represent an important media channel to support and build broader communities of interest.”
Technologies and trends at or around the peak of the Hype Cycle in 2008 (see Figure 1) that will reach the plateau in two to five years are:
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