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  <id>tag:,2009:/1/tag:72.47.210.69,2007://1.5287-</id>
  <updated>2009-11-23T19:52:14Z</updated>
  <title>Comments for Trendwatching - Wired Or Tired In The Blogosphere</title>
  
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    <id>tag:72.47.210.69,2007://1.5287</id>
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    <link rel="service.edit" type="application/atom+xml" href="http://www.readwriteweb.com/cgi-bin/mt/mt-atom.cgi/weblog/blog_id=1/entry_id=5287" title="Trendwatching - Wired Or Tired In The Blogosphere" />
    <published>2007-01-18T10:24:12Z</published>
    <updated>2007-12-16T23:16:45Z</updated>
    <title>Trendwatching - Wired Or Tired In The Blogosphere</title>
    <summary>By Alex Iskold Last week Apple&apos;s iPhone made a stunning debut. There are very few people who were not blown away by what Steve Jobs showed to the world, from the stage of MacWorld 2007. The irony was that beforehand, we didn&apos;t know what exactly the iPhone would be, but most of us knew it...</summary>
    <author>
      <name>Alex Iskold</name>
      <uri>http://www.adaptiveblue.com</uri>
    </author>
    
    <category term="Statistics" />
    
    <content type="html" xml:lang="en" xml:base="http://www.readwriteweb.com/">
      <![CDATA[<p><em>By Alex Iskold</em></p>

<p>Last week Apple's iPhone made <a
href="http://www.readwriteweb.com/archives/iphone_macworld07_keynote.php">a stunning
debut</a>. There are very few people who were not blown away by what Steve Jobs showed to
the world, from the stage of MacWorld 2007. The irony was that beforehand, we didn't know
what exactly the iPhone would be, but most of us knew it was coming - because there were
rumors and lots of blogosphere chatter about it in the weeks and months leading to the
announcement.&nbsp;</p>

<p>Today's blogosphere is a unique playground for trendwatchers who are seeking to find
out what's wired or tired. Check out this image of the Blogosphere core, from the
fantastic <a href="http://datamining.typepad.com/">DataMining blog</a> by Matthew
Hurst:</p>

<p><img border="0" src="http://www.readwriteweb.com/images/trendwatching1.jpg"
width="295" height="286" /></p>

<h2>Basic trendwatching with Technorati</h2>

<p>Technorati is much more than a vertical search engine for blogs. It's a service that
provides indispensable tools for bloggers, readers and trendwatchers. Technorati keeps
the finger on the pulse of the blogosphere and gives us access to the news, both new and
old. Perhaps the most interesting tool that Technorati offers to trendwatchers is the
historical chart. Here is the chart of all blog posts mentioning <strong>social
bookmarking</strong> over the past year:</p>]]>
      <![CDATA[<p><img border="0" src="http://www.readwriteweb.com/images/trendwatching2.png"
width="420" height="329" /></p>

<p>If you believe that high blogosphere activity indicates popularity, then this chart
shows that <strong>social bookmarking</strong> is <strong>wired</strong>. You may recall
that in our recent post about <a
href="http://www.readwriteweb.com/archives/analyzing_trends_seth_godin_web20_index.php"></a>Trends
in Seth Godin's Alexa data, we concluded that social bookmarking sites grew substantially
over the last six months. So both data sets lead to the same conclusion.</p>

<h2>Comparing trends</h2>

<p>We can also use Technorati charts to compare trends. We need to be a bit careful about
this, because each Y-axis has different numbers - but otherwise it is insightful. For
example, people have been talking about the rising popularity of <a
href="http://www.masternewmedia.org/news/2006/12/20/new_media_trends_and_2007.htm">virtual
worlds</a>. Let's see how this upcoming trend is comparing against its "daddy", social
networking.</p>

<p><img border="0" src="http://www.readwriteweb.com/images/trendwatching4.png"
width="210" height="164" /> <img border="0"
src="http://www.readwriteweb.com/images/trendwatching3.png" width="210"
height="164" /></p>

<p>Virtual worlds is on the left, where maximum mentions is 200. Social Networking is on
the right and maximum mentions is 1200. So what can we say about both trends? They are
both <strong>wired</strong>, although it seems like virtual worlds has only just started
to pick up momentum - while Social Networking might be peaking (but this is not so
clear).</p>

<h2>Zooming into a trend</h2>

<p>Next, we compare the companies that make up the social networking trend. Below are
Technorati trends for MySpace, Facebook, LinkedIn and Orkut.</p>

<p><img border="0" src="http://www.readwriteweb.com/images/trendwatching_myspace.png"
width="210" height="164" /> <img
src="http://www.readwriteweb.com/images/trendwatching_facebook.png"
title="Facebook" /></p>

<p>MySpace is above on the left, where the maximum number of mentions is 30,000 (Whoa!).
Facebook is on the right and the maximum number of mentions is 2,200.</p>

<p><img src="http://www.readwriteweb.com/images/trendwatching_linkedin.png" vspace="5"
hspace="5" align="left" title="LinkedIn" /> <img
src="http://www.readwriteweb.com/images/trendwatching_orkut.png" vspace="5" hspace="5"
title="Orkut" /></p>

<p>LinkedIn is above on the left and the maximum number of mentions is 240. Orkut is on
the right and the maximum number of mentions is 800.</p>

<p>So if we ignore the scales for a moment (at this point MySpace violently protests), we
see that all of these trends put together explain the overall growing trend for social
networking. Also, these charts reveal fairly substantial events - for example you can see
in Facebook's chart when rumors started to spread that Yahoo! might acquire it.</p>

<p>Finally, notice that people are starting to talk more about LinkedIn. Curiously, this
is at odds with the Alexa chart that was part of our <a
href="http://www.readwriteweb.com/archives/linkedin_and_facebook.php">recent analysis</a>
- at least if you believe that page loads correlate with mentions in the blogosphere
(they should).</p>

<h2>Seeing a trend go by</h2>

<p>Most of the things that we have looked at so far have been wired. But the next one is
not. And it's Ajax.&nbsp;</p>

<p>Looking at the chart below, we see that the Ajax buzzword is getting
<strong>tired</strong>. This is probably not surprising to developers, because we are
seeing the rise of libraries like <a href="http://www.jquery.com">jQuery</a> that hide
Ajax and take it to a whole new level. So the new trend we can perhaps call MetaAjax.</p>

<img src="http://www.readwriteweb.com/images/trendwatching5.png" vspace="5" hspace="5" />

<h2>Ego Trending</h2>

<p>Of course no blogger can resist ego surfing, or in this case ego trending. It is human
nature to feed the ego with mentions of cross links. Here is my modest chart (I take
comfort in the fact that my presentation at DEMO went well).</p>

<img src="http://www.readwriteweb.com/images/trendwatching6.png" vspace="5" hspace="5" />

<h2>Comparing trends with BlogPulse</h2>

<p>Technorati allows you to track a single trend. Comparing two trends is not easy
because of the difference in scale. For comparisons, you should head over to <a
href="http://www.blogpulse.com">Blog Pulse</a>, a service offered by Nielsen BuzzMetrics.
Also <a href="http://www.google.com/trends">Google Trends</a> is a useful comparison
tool, but in this post we'll focus mainly on BlogPulse.</p>

<p>In addition to basic blog search, BlogPulse allows you to compare up to 3 trends. For
example, below is the comparison of Social Networking vs. Virtual Worlds over the last 6
months.</p>

<p><img src="http://www.readwriteweb.com/images/trendwatching7.png" vspace="5" hspace="5"
width="500" height="300" /></p>

<p>There are a few things to note. Firstly, BlogPulse shows you the trend as number of
mentions relative to all blog posts. It is likely to be the number of posts mentioning
the term divided by the total number of posts that day. The fact that this is a relative
number is a good thing, because it allows us to distinguish the growth due to rising
number of blog posts, from the growth due to popularity. Another thing to note is that
this chart does not quite agree with what we have seen on Technorati. For this reason, it
is really important to understand the data and the method behind any chart. Given the
two, it appears that Nielsen's data is normalized and hence more accurate (assuming there
are no bugs).</p>

<p>Here's the same trend comparison in Google Trends (for 2006), which shows a similar
pattern:</p>

<p><img border="0" src="http://www.readwriteweb.com/images/trendwatching10.jpg"
width="500" height="250" /></p>

<p>We close this post by pointing out that Blog Pulse has a page that features <a
href="http://www.blogpulse.com/trends.html">interesting trends</a> across topics like
news, entertainment and technology. There is also a section called 'Bizarre stuff' that,
naturally, caught my attention. The first featured trend there was comparing mentions of
the <a href="http://en.wikipedia.org/wiki/Seven_deadly_sins">Seven Deadly Sins</a>:</p>

<p><img src="http://www.readwriteweb.com/images/trendwatching8.png" vspace="5"
hspace="5" /></p>

<p>Now here is something interesting... the two most popular ones are
<strong>pride</strong> and <strong>anger</strong>. If only <strong>envy</strong> was up
there too, as then we would be able to nicely explain the origins of Ego Trending!</p>

<p>On a more serious note, quantitative analysis and trending are really important tools
for measuring success, explaining the past and preparing for the future. We are eager to
hear your trending methods, tools and the sites that you find useful. Let us know in the
comments!</p>]]>
    </content>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42250</id>
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    <title>Comment from NitinK on 2007-01-18</title>
    <author>
        <name>NitinK</name>
        <uri>http://blog.softwareabstractions.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://blog.softwareabstractions.com">
        <![CDATA[<p>Wow - awesome post, Alex! I was looking for something like this!</p>

<p>Now, how would you compare two (non-blog) *websites*? Other than using Alexa data - any thoughts?</p>]]>
    </content>
    <published>2007-01-18T13:44:33Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42251</id>
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    <title>Comment from Tommy Soll√©n on 2007-01-18</title>
    <author>
        <name>Tommy Soll√©n</name>
        <uri>http://literoligare.se</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://literoligare.se">
        <![CDATA[<p>Hi, great post!<br />
I live in Sweden and that creates a problem when it comes to trend watching.<br />
Sweden only has 9 million inhabitants. Although we are very IT savvy, modern and have 60% broadband penetration, we're just not enough people to make a dent in the international blogosphere.<br />
So, naturally we focus on the Swedish blogosphere. But services like Google Trends hardly ever shows any result because on most keywords it just says "Your terms - ****** - do not have enough search volume to show graphs."<br />
Very frustrating.</p>

<p>And on a sidenote, what plugin are you using for that nice talkr & share-link/icon row below the post?</p>]]>
    </content>
    <published>2007-01-18T13:45:56Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42252</id>
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    <title>Comment from Alex Iskold on 2007-01-18</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>NitinK,</p>

<p>There a couple of ways to compare web sites using Technorati. First one would be to search by URL, you can do that and I think its effective.</p>

<p>Second is kind of interesting, using the same trending approach that I used. For each site define N keywords that define the content, do as many as you can think of. Then do search on Technorati using OR. While this is not a direct comparison, it can be insightful.</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-18T13:53:43Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42253</id>
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    <title>Comment from John Milan on 2007-01-18</title>
    <author>
        <name>John Milan</name>
        <uri>http://intelligantt.blogspot.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://intelligantt.blogspot.com">
        <![CDATA[<p>Great post Alex.</p>

<p>What about 'finding' the new trends with the greatest wired slope. Although the combinations most likely exceed today's computing power, is there anything that can sift through the blogosphere ranking one or two word pairings and identify the fastest risers?</p>

<p>I see Technorati has its most popular searches of the day. Perhaps someone can create a histogram of these daily 'top ten' and spot new trends faster. You'd probably need a 'top 100,000' list to get in front of a rising trend. But it seems like Technorati could do this and produce a 'top 10 rising trends.'</p>

<p>Though you'd probably want to sell that info rather than posting it for free.</p>]]>
    </content>
    <published>2007-01-18T15:05:52Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42254</id>
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    <link rel="alternate" type="text/html" href="http://www.readwriteweb.com/archives/trendwatching_wired_or_tired.php#c42254" />
    <title>Comment from Alex Iskold on 2007-01-18</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>Hi John,</p>

<p>Yes derivative would be great!</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-18T15:24:41Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42255</id>
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    <title>Comment from Martin K√§llstr√∂m on 2007-01-18</title>
    <author>
        <name>Martin K√§llstr√∂m</name>
        <uri>http://www.primelabs.se</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.primelabs.se">
        <![CDATA[<p>Answer to #2: Actually Tommy, such tools are in the making explicitly for the Swedish blogosphere. Keep an eye out on the  Primelabs blog during the spring!</p>]]>
    </content>
    <published>2007-01-18T15:48:26Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42256</id>
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    <title>Comment from John Dowdell on 2007-01-18</title>
    <author>
        <name>John Dowdell</name>
        <uri>http://weblogs.macromedia.com/jd</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://weblogs.macromedia.com/jd">
        <![CDATA[<p><br />
Two important distortions with trendwatching today:</p>

<p>(1)  Each blogsearch engine handles a different subset of the actual range of conversations out there. If you drill in and compare discrete results among engines, you'll find each has citations the others miss, and each has citations the others catch. Each engine shows a part.</p>

<p>(2)  There's a distortion effect from fake blogs, as they republish content created elsewhere in order to collect ad revenue or to establish a domain for pagerank purposes. These charts show an "echo", and the number of garbage results starts to outweigh real conversation after the first day or so. </p>

<p>Each engine shows a part of the total conversation, and they also show lots of things which aren't real conversation at all, too. Both tools are very helpful, but there's still room for improvement here.</p>

<p>tx, jd/adobe</p>]]>
    </content>
    <published>2007-01-18T16:53:18Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42257</id>
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    <title>Comment from Tommy Soll√©n on 2007-01-18</title>
    <author>
        <name>Tommy Soll√©n</name>
        <uri>http://literoligare.se</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://literoligare.se">
        <![CDATA[<p>Martin K√§llstr√∂m; interesting. Will it be free for bloggers to use?</p>]]>
    </content>
    <published>2007-01-18T20:44:45Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5287-comment:42258</id>
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    <title>Comment from Martin K√§llstr√∂m on 2007-01-18</title>
    <author>
        <name>Martin K√§llstr√∂m</name>
        <uri>http://www.primelabs.se/</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.primelabs.se/">
        <![CDATA[<p>That is to be determined. Parts of it most definately will.</p>]]>
    </content>
    <published>2007-01-18T23:37:35Z</published>
  </entry>

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