This is part of a series of post about building relationships online and the relationships we build online.
The initial idea was triggered by reading in one of the books for TECH 621 about marketable relationships. Marketable relationships were defined as relationships we build for the sake of the relationship, without expecting an immediate reward. However, the rewards, often in the form of employment, speaking engagements, etc., come as a result of having these connections. Nothing new here. This is how connections work.
I don’t particularly like the term “marketable relationships,” but luckily, the concept does go by another name: social capital.
Social capital was defined by Bourdieu as one of three types of capital:
Putnam (the one who wrote Bowling Alone) further broke down the concept of social capital into 2 sub-types: bonding and bridging capital.
So, here are some hypotheses:
Are these the predominant uses of Facebook vs. Twitter? To how many people do these hypotheses apply? Do they apply to you? Are the trends changing towards Facebook becoming more open to loose connections and to building bridging capital? i.e. do you “friend” people you don’t know very well?
[update 10/25: Facebook's new News Feed vs Live feed feature makes Facebook technology more conducive to maintaining bonding capital, because the algorithm selects the updates to show you in the News Feed based on the previous level of interaction -connection depth?- with that person.]
Next posts in this series:
I gave this presentation in TECH 621 today – I’m pretty proud of the way I synthesized and organized (what I thought were) the most important ideas from Clay Shirky’s book “Here Comes Everybody.”
I’m not sure how well it went over in class – students seemed tired, and we didn’t have time to discuss as much as we might have liked to. So I’m posting here and inviting students and readers to continue the conversation in the post’s comments. If you have read the book, I believe you’ll appreciate this synthesis. If you haven’t, I’m not sure how much sense it makes…
So…
Sphere: Related ContentQuestions? Comments? Cabbage jokes?
Twitterville is a collection of stories about Twitter written by a twetizen who is enchanted with the Twitter village. It is a business book as much as it is a piece of
anthropology – by reading stories about a place, we infer its values, social norms, and culture.
Most of the stories are wonderful, uplifting, and show the positive side of Twitter. They are not, I think, your everyday Twitter stories – they are the extraordinary events that stand out in a place’s history. I’m glad someone took the time to document and save them. I remember living through most of them, and it felt great to read these accounts of recent Twitter history. Israel is an excellent story teller, and if I didn’t envy his warm, fluid, friendly, yet clear and simple writing style so much, I’d go on and on praising it
.
I loved reading the book, and enjoyed every page of it. I can imagine critics complaining that the book is overly positive – that it portrays Twitterville as a better place than (they think) it is. Israel’s Twitter enchantment doesn’t bother me, primarily because, like a respectable ethnographer, he spells out his biases clearly and repeatedly. He explains his point of view and enables the reader to decide how to interpret the content. As a qualitative researcher, I do not believe in the myth of objectivity. I think the best we can do is explain our biases, so readers can make informed decisions about interpreting our writing. I see very little of this in popular literature, and I hope more authors will adopt this practice.
… and Israel’s enchantment with Twitter doesn’t bother me, because I can relate to it and I share his point of view. I was initially amused by the claim that Twitter can lead to… world peace. But as I read the last chapter, I realized that, as a firm believer in the power of communication to make and break our world, I too, think, that conversation is the best solution – and that it can, indeed, help us make peace.
Sphere: Related ContentOct. 7 – Twitter tool could help educators, e-campus news
Oct. 6 – Quoted in the Journal & Courier about a new Twitter tool, need4feed.
Aug. 9 – Newspaper article published in The Spartanburg Herald Journal (South Carolina) about some of my Facebook research.
Mar. 8 – Politicians are a-Twitter over the new social media, The Spartanburg Herald Journal, S.C.
Sphere: Related ContentI asked my TECH621 students to interview 3 professors each and get tips about graduate school success.
Here are their posts: Scott S., Stephen W., Jenny S., Zheng Z., Andrew B., Scott K.
A bit late, here are my tips & expectations about being a successful graduate student. They are derived from my experience in grad. school, both as a student and professor:
You don’t have to be in grad school. Your parents may have forced you to get an undergrad degree, but you are in grad school because you want to learn. So, learn.
A successful graduate student doesn’t only “absorb” information. She actively seeks knowledge.
Professors might mention something in passing, and the grad. student goes out to research that topic in depth and learn about it, because he wants to, because he’s curious – because he’s a born researcher (you know who’s a born researcher? Don Bulmer. He has an innate curiosity and the drive to pursue knowledge. Those are characteristics of the ideal grad. student.)
Actually, several other tips follow from the first one:
You can’t succeed in academia without doing good work. But you can do good work and not succeed in academia, because you don’t understand how to present your work in ways that are valued by academic culture. The values vary by field and even by department, but be on the lookout, try to identify and learn things such as:
A mentor can help you figure these things out – but it doesn’t have to be your academic adviser. Ask faculty members, we love to give advice. You learn a lot just by hanging out with faculty or senior grad students. Create these opportunities. Organize a seminar or a get-together, or ask if you can go to lunch with someone.
Every class you take is a potential job interview. I’ve had several professors approach me and offer me teaching or research assistantships while I was taking their course, or as soon as the course was over. In fact, many classes ARE job interviews.
Maybe today’s class or assignment is boring, or seems irrelevant. It doesn’t matter. Try to do your best anyway. Keep in mind that 2 or 4 years down the road, you might need to ask that professor for a recommendation letter. The best thing we can write about a student is that she consistently exceeded expectations. Great work is great. Doing great work consistently and repeatedly is even greater.
As always, please add your tips, comments, reactions, comments or… cabbage jokes
I promised this post to my students. This is how it works for me:
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My strategy: get the big picture of the book by understanding its structure (outline).
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For example, I think this is that ONE sentence from Content Nation, found in Ch. 1, p. 2:
“In the process of becoming publishers who can reach and interact with a potentially global audience whenever they need to or want to, something is changing in the way that everyday people look at themselves and their world. [...] We are beginning to look upon institutions that we used to rely on for providing us with cohesion and value in our lives as less valuable in the face of publishing technologies that allow us to organize ourselves and our lives more to our suiting.“
This is, I believe, the thesis statement of the book. It tells me what to look for from now on:
Once I identified the 3 main ingredients of the book, I go looking for them in the other chapters. I will read carefully (if I have time) the parts that inform the 3 main ingredients above (topic, main argument, supporting evidence). But, to get an idea of the entire book, I read:
.
Try it out. Share tips that have worked for you. And most importantly ask yourself:
Do I write such that people can quickly grasp the meaning of my text?
[update/one more thought:] – ultimately, no matter what you do, make sure you get a few specific ideas out of your reading. If, after spending time with a reading, all you have in your head is an amorphous blur and no specific ideas, then you know you’re doing something wrong.
I’ve been playing around with Brizzly this morning, and here are some initial thoughts. My default Twitter app is Tweetdeck, so I’m comparing to that.
But here’s the major change that Brizzly introduces, and for me, a concern:

My reply with a comment about the cat shows up (for me, in Brizzly) – right under the photo. So the context of my comment is very clear to me. However, for the recipient, if she uses another Twitter app, my reply will show as a usual @ tweet in her stream.
The problem is that for me, the context is very clear, but for her, it may be confusing. If I reply “awww…. !” she has to put 2+2 together to figure what my tweet is about. I usually try to include context in my tweets – I’d usually reply “awww… cute cat!” – so she knows that the tweet is about. I try to avoid using “this” and “that” in tweets and instead specify what I’m referring to.
I posted a photo, and people’s comments didn’t show under the photo, like in Twitpic, but just as replies in my twitter stream – so no context there for me on the receiving side.
It’s confusing to have context for some people, in some instances, but not for others. If some people use Brizzly and others don’t, I can see a lot of misscommunication happening on Twitter.
Although Brizzly might enhance MY Twitter experience, the confusion about context might reduce the overall community experience.
Watch the Brizzly demo:
Sphere: Related ContentThis Webecology research report has been making the rounds on Twitter. I haven’t had time to read it until now, here are my reading notes:
The Webecology team uses large scale data mining to identify patterns indicative of online culture and community. Wish I’d do this, too – and will, as soon as I find a research partner to help with the data mining part.
For this project, the authors set out to create a more accurate measure of influence on Twitter that goes beyond either:
The authors defined influence on Twitter as:
influence on Twitter = the potential of an action of a user to initiate a further action by another user
Specifically, influence means the potential of a tweet to generate replies, mentions (conversational behaviors), RTs, and attributions (content-pushing behaviors).
This is an atheoretical, operational definition of influence (the study’s Achille’s heel).
As far as I understand, all 4 actions were weighed equally. So, a RT factors the same as an @reply in determining influence.
They selected 12 Twitter accounts to study. The selection was based on this criterion: the 12 accounts were ”widely perceived to be among the more influential users on Twitter.” It is not clear who did the perceiving, and what definition or measure of influence they used in the process of perception. IMO, the arbitrary selection of the sample is another major weakness – but in this case, I can live with it, because the purpose is not to derive conclusions about Twitter culture as much as it is to demonstrate how the methodology can be used.
Then, the 12 users were grouped into 3 categories. Here is a table with the accounts they analyzed, and their number of tweets over 10 days, as well as the number of followers and friends at the end of the 10 days:
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| Celebrities | Username | Tweets | Followers | Followees |
| Ashton Kutcher | aplusk | 3,205 | 3,407,385 | 209 |
| Shaquille O’Neil | THE_REAL_SHAQ | 2,072 | 2,092,541 | 562 |
| Stanley Kirk Burrell | MCHammer | 6,016 | 1,331,797 | 31,202 |
| Sockington | sockington | 5,711 | 1,089,984 | 380 |
| Justine Ezarik | ijustine | 7,718 | 605,441 | 3,039 |
| News Outlets | Username | Tweets | Followers | Followees |
| CNN Breaking News | cnnbrk | 1,096 | 2,712,530 | 18 |
| BarackObama.com | BarackObama | 330 | 2,018,016 | 761,851 |
| Mashable.com | mashable | 17,914 | 1,363,510 | 1,925 |
| CNN | cnn | 11,607 | 193,625 | 50 |
| Social Media Analysts | Username | Tweets | Followers | Followees |
| Gary Vaynerchuk | garyvee | 7,532 | 862,790 | 9,683 |
| Chris Brogan | chrisbrogan | 48,341 | 94,715 | 88,431 |
| Robert Scoble | Scobleizer | 23,112 | 94,295 | 2,423 |
The data that they mined was as collected over 10 days, in August 2009. The data included:
The authors produced 2 types of influence reports, based on the type of action that was triggered:
Please note that a mention may or may not be a response to a tweet. If they were not responses to a tweet, they fall outside the authors’ definition of Twitter influence, and they should have been excluded from the analysis.
Here we go, on to the findings:
This graph shows you the amount of conversational activity (@replies and mentions) each user got in response to one (average) tweet.
This graph shows you how much content action (retweets and attributions) each user got for each (average) tweet:
So here we see that, per tweet, @sockington did get more retweets than @chrisbrogan.
The authors claim that these graphs of influence/tweet are the most accurate measure of Twitter influence so far. Therefore:
@sockington IS more influential on Twitter than @chrisbrogan,
because the fake cat gets more retweets. (sorry, @sockington, I do love you!!!)
I know exactly what you’re thinking, it starts with B and ends with T.
That’s because here we have a problem of construct validity. The measures do not actually measure influence. I wish the authors had read some research in communication & persuasion about the concept of influence, then worked their way from a conceptual to an operational definition.
Obviously, @sockington gets more retweets because he’s cuter & funnier than @chrisbrogan (sorry, Chris!). We don’t know why people reply or retweet. This study ignores a very important aspect of human relations: meaning. There is meaning in tweets, and meaning in why people retweet. But that is not captured in this study.
That being said, the report shows what can be done with data mining – it’s awesome! With a bit of help from people who know how to study meaning (hint, hint!), this type of research will be extremely valuable.
If anything, let this be an argument for computers & communication people working together, across disciplines.
In a future post, I will review conceptual and operational definitions of influence.
Sphere: Related ContentRuud Hein of Search Engine People questioned me
Read my interview, on various PR topics, here.
I wrote about social media culture & social norms, how not to be “creepy,” how to plan strategically for public relations, misunderstandings about what PR is, could, and should be, and tempered the idea of conversational PR.
Sphere: Related Content