A Map of My Twitter Conversations

Pew Research Center’s recent study, Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters, identified six conversational archetypes on Twitter, including divided, unified, fragmented, clustered, and inward and outward hub and spoke structures. As I was reading the study, I couldn’t help but think about how my Twitter experiences fit into this mix. Here’s what I discovered:

Tight Crowds: When I read about tight crowds, I was reminded of a PRSA Nebraska luncheon I recently attended. During the luncheon, we were encouraged to tweet using the hashtag “OmahaOmaha.” Although I didn’t tweet about the luncheon, I could see what others were saying by searching for the hashtag.

Brand Clusters: Whether I’m tweeting about celebrities or brands, I have contributed a great deal to this category. For instance, after E! News correspondent Ali Fedotowsky revealed her new haircut, I tweeted:


I also tweeted about Kate Hudson during the 2014 Oscars:


Broadcast Network: It’s not surprising that I often retweet news stories – after all, I am a journalism student. Yahoo and Forbes are among my favorite sources to retweet. Here are some of my recent retweets:



This category reassures me that, despite popular opinion, journalism is not dying. It proves reputable news organizations still have a voice in today’s social media world. Journalism students, like myself, aren’t the only ones who retweet news organizations either. In the past week, I have noticed a variety of people retweeting news organizations’ tweets about Flight 370.

Support Network: When I read this section, I instantly was reminded of my friend’s recent grumpy tweet about her overbooked flight. The airline quickly responded to her tweet, attempting to resolve the issue. Engaging with customers in this way can boost quality service. However, I also think it’s important for businesses to respond to customers who post positive comments. The Giving Keys does this successfully:

Screen Shot 2014-03-22 at 10.13.34 PM

Mapping helps us understand how Twitter works, giving us a better understanding of how people interact online. It also shows businesses how to reach customers more effectively.

For more information about Pew Research Centers study, visit Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters.


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