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Reading: How Mailana Visualizes My Top 10 Loquacious Friends on Twitter
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SmartData Collective > Big Data > Data Mining > How Mailana Visualizes My Top 10 Loquacious Friends on Twitter
Data Mining

How Mailana Visualizes My Top 10 Loquacious Friends on Twitter

ariherzog
Last updated: 2009/03/22 at 11:24 AM
ariherzog
4 Min Read
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Rachel Levy is hereRachel Levy, as @bostonmarketer, tweets with me a lot.

Her Twitter profile is succinct:

Marketing professional seeking job or consulting in social media, consumer products or non-profit involving branding, websites and strategy.

Over her past 5,099 tweets (as I type this), Rachel’s written about everything under the moon. Many of her microblog posts are synchronized with the longer fodder she creates on her personal blog, another site you should add to your feed reading addiction.

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When you cross-tabulate every person who transacted with me through send-and-receive Twitter messages since I joined the network last summer, Rachel Levy tops my list of loquacious friends. This is a good thing; she provides value to me and it’s clearly reciprocal. After all, who sends tweets to doorknobs?

According to Pete Warden’s visual Twitter tool, Mailana, I sent 127 tweets to Rachel and she sent 218 to me. This is undoubtedly spawned to some extent by numerous networking events where I run into her.

Kristi Colvin (107 to / 168 from), Adriel Hampton (93 to / 171 from), Jillian York (77 to / 202 from), and Jeff Cutler (64 to / 65 from) round out my top five. See how they’re represented by thicker bonds in…

Rachel Levy is hereRachel Levy, as @bostonmarketer, tweets with me a lot.

Her Twitter profile is succinct:

Marketing professional seeking job or consulting in social media, consumer products or non-profit involving branding, websites and strategy.

Over her past 5,099 tweets (as I type this), Rachel’s written about everything under the moon. Many of her microblog posts are synchronized with the longer fodder she creates on her personal blog, another site you should add to your feed reading addiction.

When you cross-tabulate every person who transacted with me through send-and-receive Twitter messages since I joined the network last summer, Rachel Levy tops my list of loquacious friends. This is a good thing; she provides value to me and it’s clearly reciprocal. After all, who sends tweets to doorknobs?

According to Pete Warden’s visual Twitter tool, Mailana, I sent 127 tweets to Rachel and she sent 218 to me. This is undoubtedly spawned to some extent by numerous networking events where I run into her.

Kristi Colvin (107 to / 168 from), Adriel Hampton (93 to / 171 from), Jillian York (77 to / 202 from), and Jeff Cutler (64 to / 65 from) round out my top five. See how they’re represented by thicker bonds in this Mailana representation?

My Twitter relationships through the lens of Mailana

If you click to Marshall Kirkpatrick’s selection of 10 Twitter geeks and their circles of mavens, you can read more about Mailana and see that I am listed within Jeffrey Levy’s circle. (Jeffrey is the web manager of the EPA, if you don’t feel like clicking; and who, it should be noted, defines Twitter as a source of filtered, purified water out of a raging river.)

Referring to Mailana’s visualization, Marshall writes:

There’s something a little uncomfortable about being able to see this information. Fact is, though, it’s part of the nature of this powerful new system of communication. We expect that data parsing like this is only the beginning.

Mailana definitely provides a new way of looking at people and the data between you and they. Run a search for yourself. Oh, and do check out Rachel; if you can help her find a job, she’s worth every tweet!

  


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TAGGED: analysis, data visulaization, twitter
ariherzog March 22, 2009
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