Who are these people and why are they following me?

So I recently hit some milestones online which I would have never thought were that interesting, until it happened. Just passed 5000 downloads of the eBook, hit 1000 followers on Twitter and just learned Spatially Relevant was on Alltop – all in the last 10 days or so. To that end, I thought I would take the time and figure out just who is in my network and understand the types of folks/classes in my network.

Pure curiosity killed the cat on this one, once I started I had to keep going since there were so many interesting posts, people and blogs which I haven’t read. I was able to find some interesting things from a data perspective, the most interesting is I probably don’t have 1000 followers, something more like 750 if you weed out some of the marketers, suspended accounts and alike. Plus this seemed at the start to be great exercise to get to know folks just a little better and I did. It was definitely enjoyable to find out more about folks and read the great content I was able to find in the network.

So What Does the Network Look Like?

So I had to figure out a way to classify folks, so I used the data on the profile. Specifically the link as the user provided on their profile as the core classification attribute. Ultimately, not all users have updated or complete profiles, but it’s the best data I have across the entire network.

Not all members of my network are linking to blogs, some have no links, others linked in, some the site of their favorite band and some for a product they are apparently selling/marketing. So links look like a good bellweather, at least in my book.

Later in the process, I started looking at follower and following ratios, but only for two classes. So I started the analysis last night and it was horribly manual. The study started when my number of followers was 1003.

The Profile Classifications

Since the only real information I could use was profile information, I was able to build 5 classes based on links – No Link, Suspended, Selling/Marketing, Blogger/Social Media and Other.

No Link – These network members have no link on their profiles.

Selling/Marketing – These users have URL’s that link to corporate websites, MLM sites, Get Rich Now and other clearly marketing or sales related content. Some users in this group may think they are bloggers, but when content hasn’t been updated regularly, they have more google ads than articles per square inch and other affiliate programs they were put in this category.

Bloggers/Social Media – This user class are for folks that linked to their own blogs, corporate blogs or their blog was 1 click away. Now there are some salesy things in this class, but if you blog everyday or reasonably frequently, you get this classification.

Other – These users link to where they worked, may have been a brand online, used facebook, resume, family website, friendfeed, myspace, YouTube or another social media profile. If a user had a link, but the site was down or the URL mistyped this class was used <10.

Suspended – You know what this means.

The Network Overview

The Numbers

Deviation from Expected Total is 28 so out of the gate I am 2.8% off of reality

Bloggers vs. Marketers

During the process I noticed an interesting thing – over time the mix of the network changed. I determined time by the pagination process, the further down in page count the older. So I decided to look the adds by the first 50% of my network or the first 487 in the sample. The first 487 essentially are the “oldest”, so when I starting on Twitter. The second 50% are the most recent 488 in my sample or those closest to page one in the “next” process.

The Table

Following vs. Followers

About a third of the way in I started to notice that Selling and Marketing folks followed a BUNCH more users than followed them. For bloggers, I noticed they were likely following less than were following them. This is a partial sample, but the averages below should be indicative for what is fairly intuitive.

  • Selling/Marketers follow 2.83 for Every 1 follower (N=74)
  • Bloggers follow 1.18 for Every 1 Follower (N=197)

Observations – NOT CONCLUSIONS

  • Skewed Blogger ratio in the first half likely driven by:
  • Early Adopters of Twitter being Bloggers/Social Media types
  • My personal choice to follow bloggers
  • Growing Use of No Link or Facebook/Others indicates less tech savvy users adopting
  • I think there was a “scripted” add process in place in the 2nd 50% to skew the Suspends, multiple users in a row were “Suspended” with odd naming conventions
  • There is a lot of people using the same stock themes, although most change from the WordPress default or blogspot default
  • There were a good deal more blogspot accounts than I would have thought
  • Typepad appears to be real minority in my network – hunch, no math on this.
  • Bloggers from outside North America have a skewed Following to Followers ratio compared to NA bloggers
  • People from the midwest seem to use MySpace more as their link, if in the other class
  • I believe I have verified 32 BOTs or bot like accounts
  • Why would you EVER link your resume??!?!?!?

Thanks to my Network

So since I’ve ultimately used your data to help move this forward and provided a label for ya, might as well provide a link. I’ve attempted to link as many bloggers as I could, in the end I started random cutting-n-pasting after like 16 hours of effort on this to have a representative sample of the whole network. So your blog may have been left off for that reason, profanity or another judgment call I made.

  1. The BusyBrain
  2. The Press Release Site
  3. Launch Clinic – Great product launch blog
  4. Team Danielle Miller
  5. WAHM Talk Radio – Author is from portland, MI. which is where I took a picture for a post I did on advertising, billboards and population
  6. Michael Patrick Leahy
  7. Dave Ferguson
  8. The Social Customer
  9. Off the Shelf – Wayne Hasting
  10. A Road ReTraveled – A Frost poem is always good
  11. mattb4rd.com
  12. Mophopro
  13. The Harte of Marketing
  14. Productivity in Context
  15. Chuck Westbrook – Multiple blogs is a challenge Chuck
  16. Social Media 404
  17. Fresh Focus
  18. Stephen Fry
  19. Rhett Smith – Co-working is definitely an interesting way to go.
  20. Propagandery
  21. Ghennipher -Social Media Spin
  22. The Social Reformer
  23. The Life and Times
  24. Craig Berntson: DevBlog
  25. U Have a Voice – Jason Tryfon
  26. Genderfork
  27. Great Green Fees Blog
  28. Muffin Bottoms – I have a Panic visor I just can’t get enough of, can’t imagine owning a White House logo hat.
  29. One Day for Human Rights
  30. Markus Egger – Sometimes a good hockey game is about as good as it gets
  31. Sharpie Blog – You NEVER can have too many Sharpies
  32. The Scratching Post
  33. Broken Doll
  34. Michael Fauscette
  35. Mike Volpe
  36. I never grew up
  37. RealPolitix
  38. Tech PR Gems
  39. Stephanie Agresta – Austin is always a good deal of fun.
  40. Idea to Ideas
  41. Jennifer Eastman
  42. John Wyatt Edgar
  43. Cognizant Frisk
  44. Mike Trap
  45. iEllie
  46. Rochelle Veturis
  47. Jason Alexander
  48. Gray Ware – The product is key and if it can make the customers feel like they are doing good – bonus
  49. Tom O’Keefe
  50. Brookes Bayne
  51. Rick Weiss – Try Guitar Hero
  52. 113
  53. “Magnet Marketing” – MLM/genius computer boy – funny.
  54. The only certainty is bad grammar – I look forward to your edits.
  55. Matthew Good
  56. I want, I got
  57. Organic Health and Beauty
  58. DCR Blogs
  59. Web Ink Now
  60. Megan West‘s Tumblr Subtextual
  61. Tina Hassannia
  62. Designer Daily
  63. Denim Therapy
  64. Silky’s Sweet Spot
  65. The Weekly Medium
  66. Steve Terlizzi
  67. Just Creative Design
  68. Kevin Law
  69. Michelle Wolverton/Chel Pixie
  70. Derek Neighbors
  71. Timeless Lessons
  72. Legal Marketing Canada
  73. Blond Over the Pond – I always try and travel on the holiday, if reasonable.
  74. From Dates to Diapers
  75. Mint Gallery
  76. Lynne Lessard – I think she really wants to be the PM of Canada
  77. Lyndsay Cabildo
  78. Chick Shopper Chick
  79. Brett
  80. Joe Castagna
  81. ICBC Law
  82. Ryan Scott Miller
  83. Mark Dykeman
  84. Trusted Ones
  85. Crafty Lil Momma
  86. Chucky Pita – Uh the earth IS getting warmer
  87. Mommy Niri
  88. Talking Shopping
  89. Launch PR
  90. Scott Johns
  91. Mara triangle
  92. Send Paper Cards Blog
  93. There is a Blog in My Soup
  94. Europe String – In for Hostel
  95. Movie Porch
  96. Think Train
  97. Because I feel like writing
  98. Northern Michigan Weather
  99. Ministry and Meteorology
  100. Kyle Lacy – You two core premises on why use an auto-responses are not consistent with my use case. I also am not sure I see Twitter as a permission based marketing tool
  101. Coaching From Spirit Challenge
  102. Zero Creative
  103. What Mati is up to
  104. Daily Paul
  105. She Just Walks Around with It
  106. Louis Gray
  107. Zoomdoggle
  108. Stark
  109. Productive Flourishing
  110. By Zarah
  111. There Goes Dave
  112. Candace Clayton
  113. Maumi
  114. Learn to Duck
  115. The Full Pint – Beer Blog
  116. Social Media Explorer
  117. Social Fishing
  118. Almost Fearless
  119. Sarah Scmelling – This I counted as a blog since it is on wordpress, has links and has access to her twitter stream.
  120. Walt Ribeiro – Can you teach me guitar online?
  121. Raj’s Random Randomness
  122. Cathy Nagle
  123. Monday Night Brewery
  124. I got My Start
  125. Karen Classic – It is What it Is
  126. Staying ALive
  127. Claudia Broome
  128. Service the Action form of Love
  129. I Choose Change
  130. Cinci Groove
  131. Learning Rails
  132. Marvel Body
  133. Corporate Dollar
  134. Lead Your Lives
  135. Fantastic Technology
  136. Tweet PR
  137. Go Swoop
  138. Morrow Bones – Indeed how is twitter going to help your company?
  139. Confident 1
  140. Eric Karofsky
  141. Social Organization
  142. Jamie Scheu
  143. Books on the Night Stand
  144. Kevin Micalizzi
  145. Google Apps Spreadsheet of Mad Men followers -Did you ever think you had dupes following you? You do, check the spreadsheet.
  146. Ming’s Secret
  147. Brand Tats
  148. Bunny Blog
  149. Phila Flava
  150. Shannon Swenson
  151. Conversational Media
  152. Caitlin G. Rosberg
  153. M Zampino
  154. Evolving Web
  155. Uptown UnCorked – This could be part of your twitter meme, just no #wishlist – just a list
  156. Mud Blood Beer
  157. Eve-101
  158. Chris Hadley
  159. Viva Visibility
  160. Confessions of a Former Fatty
  161. Get more Faster
  162. Dave Saunders
  163. Ray Wang
  164. Form Rejection Letter Theatre
  165. Ted.me
  166. Richard @ Dell
  167. Wine diver girl
  168. Stasia and Bob
  169. Quirky Blogger
  170. Over the river
  171. Keith goodrum – I bet there are a bunch of captain morgan jokes here.
  172. Sandra Foyt
  173. Kent Nichols
  174. Colleen Coplick
  175. New Comm Biz
  176. Qtip
  177. Ivan Andersson
  178. This is Herd
  179. Jason Keath
  180. The Cricket League
  181. Jillette
  182. Emila
  183. Cool Mom Guide – Everyone needs a cool mom, plus a guide must be handy
  184. Gray Hat Zone
  185. Through a Photographers Eye
  186. Gail Goodwin
  187. College Football Place
  188. Blonde Fabulocity
  189. James Hervy
  190. The Architek
  191. Web Market Journal
  192. Tech Ministri
  193. The Poopie Patrol
  194. Bud Designs
  195. Jessica Knows
  196. Headphonaught
  197. Martin – Sorry about your loss
  198. Notes from the Sleep Deprived
  199. Mayhem Studios
  200. Darn Lucky
  201. Web Wide Wizards
  202. Hello Leticia
  203. i1326
  204. Daryl Lorette
  205. Shileen Nixon
  206. Good Vibe
  207. Stacey Lang
  208. Village Luigi
  209. Steve Smyth
  210. Varibatim -Variable Quotes?
  211. The Sales Blog
  212. BawstonBlog
  213. UGA Connect
  214. Wright Place TV
  215. Ex Hostage
  216. Mamma’s Tantrum
  217. Copywrite Ink
  218. Real Home Sense
  219. Grow Young NOt Old
  220. Ultimate Leverage Success Blog
  221. Dan the Man
  222. Doing Media
  223. Stilgherrian
  224. The thinking stick
  225. Hank edson
  226. Vogue Sugar
  227. Rushay
  228. John Papa
  229. Sarah Rogers
  230. Treo Bunny
  231. Enjoy Parenting
  232. Jay Arias
  233. Gina Chen
  234. Smile Ovni
  235. My Dandelion Patch
  236. Kevin Grandia
  237. More hip than Hippie
  238. Gaming Angels
  239. Everyone’s Child
  240. Life in the Labyrinth
  241. Matt culbreth
  242. Karen McMillan
  243. Girl_G_Amy – I need to try and figure out all the bands I saw, last time I tried I figured about 250 bands and about 900 shows. It includes random college and bar bands though
  244. Social Media Super Affiliate
  245. Green Living Ideas
  246. Jesse Page
  247. The Good Human
  248. Southboard
  249. Barefeet Studios
  250. NEENZ
  251. The Aptitude Doc
  252. Blaire Warren
  253. Grateful Grebe
  254. Funkadelic Playground
  255. Immediate Influence
  256. Connie Crosby
  257. Dog Ear Nation
  258. Magic Woodworks
  259. Beau Frusetta
  260. Hippie Spelunker
  261. Bridget Z
  262. Her Media
  263. Rex White
  264. Dave Murr
  265. Cheryl Smith
  266. Lisa Stone
  267. Neal Jansons
  268. 18 and Life
  269. Five Husbands
  270. Off on a Tangent
  271. Developers Advocate
  272. dave riley
  273. Jon K
  274. DJ Flush
  275. Diana Kimball
  276. Coming to a Nursery Near You
  277. Final Draft design
  278. Fruit Bytes
  279. PRP2
  280. Apropos of Nothing
  281. Ken casting
  282. Lala FuFu
  283. Mouthy Girl
  284. A girl’s gotta spa
  285. Mark David Gerson
  286. NMP Network
  287. A Better Life
  288. Adam Cohen
  289. Nichole Adams
  290. SEO Champion
  291. Marz8
  292. Conversations Matter
  293. Orange Jack
  294. Frank gorton
  295. Chartruese
  296. Mike Panic
  297. Brand Flakes for Breakfast
  298. Marketing Warrioress
  299. Des Walsh
  300. Charles Heflin
  301. Small Biz Survival
  302. The Consumerist
  303. Kevin.com.ua
  304. Confessions of a Southern Boy in Yankee Land
  305. Chriss Mari
  306. Rob Blatt
  307. Charles French
  308. Sioksiok
  309. Len edgerly
  310. Scott Stead
  311. Galucci
  312. Mark Heyert
  313. Chris Heuer
  314. Inside Charm City
  315. Have Mac wiil Blog
  316. alex de carvalho
  317. Nick Starr
  318. Tips from the Top Floor
  319. Weird Shi$%
  320. Social Media Group
  321. Media Tile
  322. Deaf Mom World
  323. Jeff Madison
  324. Too Fabulous for Words
  325. Michael Markman
  326. MikeyPod
  327. Edge Hopper
  328. You look nice today
  329. Adam Purcell
  330. Lagesse
  331. Rick Mahn
  332. East Coast Blogging
  333. Todd Jordan
  334. Ignite Social Media
  335. Ill Doctrine
  336. vicki Forman
  337. Igor the Troll
  338. Marketing Profs
  339. Divine Purpose Unleashed
  340. eMom
  341. Liz Strauss
  342. David Bullock
  343. Bigg Success
  344. Success Creeations
  345. Derek Semmler
  346. Terry Starbucker
  347. Business on the Mound
  348. Geek Mommy
  349. CoachDeb
  350. DOug Haslam
  351. Very Spatial
  352. Christina Warren
  353. Chris Garrett
  354. Mukund @ BuzzGain
  355. Erin Kotecki Vest
  356. Chris Brogan
  357. Jeremiah Owyang
  358. Scoble

METHODOLOGY

Horribly Manual with 2 kids and 2 Dogs to take care of during the exercise, but this piece was predicated on counting by class via the “Next Page” function of Twitter under Followers. Once on a profile, I clicked the link if available, reviewed the content and classified.

4 Tabulations of the manual document used (See Below)

  • 2 counts matched and 2 didn’t.
  • 3 of the counts were done by myself
  • 1 by Em.
  • MODEL REMEDY – Split the difference of Deltas via average by class-
  • Variance by classes between 1-4
  • Total Variance
  • 6-8 or .0082%.

Rounding and averaging is your friend…

photo.jpg by you.

Pagination changes whilst I slept, ate or made sure my kids didn’t injure themselves could represent errors in count by 3 or 4 in overall sample. Meaning that during the collection process new followers were added at least 1 left (I think), but close enough for govt work or .0041% on the outside. The overall change in the network during the data collection process was 33 folks or 3.34%, this would only impact the 50%/time line buckets I suspect.

Net-Net max variance expected to be 3.61% is baseline network definition or 36 units, so yes I missed something somewhere with my sophistical collection process.

This clearly isn’t scientific, but it was fun and should be fairly representative of something. Thanks for reading and pass it along, if it is of any use.

—————————-
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41 Comments

  • Reply Casey van Bronkhorst November 30, 2008 at 5:51 pm

    RT @spatially Who are these peole and why are they following me?: So I recently hit some milestones online wh…. http://tinyurl.com/64637d

  • Reply Kyle Lacy November 30, 2008 at 6:57 pm

    Thanks for taking the time to put this together! This post is awesome!

  • Reply Dory Lanenter November 30, 2008 at 7:00 pm

    Wow! Excellent analysis, a real eye opener in regards to the value and attributes of one’s network.
    I know certain universities that would reward such work with a PHD’s degree.
    Dory
    P.S. -I’m classified under the elite category of “other”.

  • Reply Mark Dykeman November 30, 2008 at 7:11 pm

    I’m speechless – amazing stuff.

  • Reply Mary-Lynn November 30, 2008 at 7:45 pm

    Jon, congrats on your milestones! We’re so happy to have YOU in OUR network!

  • Reply J G November 30, 2008 at 8:06 pm

    Dory – It was a bunch of work, but rewarding in many ways!

    Mark – Thanks!!!!!!

    Kyle – thanks for RT and I know I put a comment inline on the article I linked to…

    Mary-Lynn – Hope you and G are good and having Bigg Success! See you in Chicago I hope!

  • Reply Leslie Poston November 30, 2008 at 8:10 pm

    Nice aerial view of a network being built. This must have taken you fo-ev-ah šŸ™‚ Loving the data, and…. nice to Tweet you!

    @geechee_girl

  • Reply Len Edgerly November 30, 2008 at 8:25 pm

    Amazing. I bet most of us you linked to came and found what’s up via Google Alert, so you’ve thrown a nice party here because of your impressive pawing through your followers. Cheers!

  • Reply J G November 30, 2008 at 8:40 pm

    Len, hmmm party at my blog, interesting post concept. Need to think about that. Glad you did find your way here and hope it was fun, maybe not a party, but perhaps a fun as a game pinochle with friends.

    leslie – I hope I’m able to build something up, well see – it’s been fun so far the last 16 months or so.

    ~jon

  • Reply Anthony Richardson November 30, 2008 at 8:55 pm

    ha! How could you even calculate that data on the paper ? I can barely read my own handwriting – but wow !

    Anyway, great post.

    – A

  • Reply MK (Casey) van Bronkhorst November 30, 2008 at 8:59 pm

    Just had to laugh a bit to see this the day after reading Problogger’s guest post regarding statistics and the people who watch them. This is making me wish there were a Twitter utility for follower analysis. Great job!

  • Reply J G November 30, 2008 at 9:11 pm

    MK – I wish I had the problems cited on problogger. I just had a math problem and interesting optics. I wish twitter had an algorithm which did ratio of followers to followed and created an ignore option by default. The feature would allow you to put your own threshold in, but it would clean up the stream a little.

    Anthony – I had “columns” and did the old slash up to five thing… the challenge was interpreting where a column ended. It was easier than typing with a kid on your lap. hold kid and cut-n-paste with right hand, slash and categorize with pen and paper with the left hand. Systems are fun, fun for the whole family!

    Cheers!

    ~jon

  • Reply Mike Volpe November 30, 2008 at 9:29 pm

    very cool… sound like you might also enjoy Twitter Grader.

  • Reply Ryan Scott Miller November 30, 2008 at 9:40 pm

    Browsing all the links someone posted about their Twitter network. Looks like I might be expanding my following! http://is.gd/9FGw

  • Reply geostuff November 30, 2008 at 10:10 pm

    rt: @spatially blog: Who are these people and why are they following me?: So I recen.. http://tinyurl.com/64637d

  • Reply Todd Jordan November 30, 2008 at 10:11 pm

    Way to show some love. Great statistics. I’m sure mine would line up much the same. I’m following less than follow me, so you can put me in that category.

    I’m growing followers more slowly now, and I don’t follow back automatically. I’m following lots more bloggers and social media folks than anything else, but I’d say writers/artists/crafters are my next big ones over marketing and PR folks.

    Thanks for the link love.

  • Reply Louis Gray November 30, 2008 at 10:49 pm

    Looks like quite a bit of work. Thanks for taking the time to break it down.

  • Reply J G November 30, 2008 at 11:00 pm

    Todd – thanks for the comments. I think most folks stuff would look similar who have been on twitter for say a year and providing your are into social media. I would think there is a different shape to Selling/Marketing folks networks of followers than ours, some with No Links and Others.

    Louis,

    It was a bunch o’ work, if only I had a spreadsheet from twitter and a real time stamp for the add. Date user created might be interesting too. Thanks for stopping by.

    ~jon

  • Reply Charlie December 1, 2008 at 9:09 am

    Wow, this is an excellent analysis and an amazing effort when it comes to linking all of your Twitter followers. My observation with Twitter is that it isn’t worth doing if you’re not willing to out the time to make genuine connections (I’m looking at you, Marketers!), but if you do, it really can amplify the success of your blog.

    Thanks for the link, the follow, and the conversation.

  • Reply @Stephen December 1, 2008 at 10:10 am

    Wow! What an amazing effort this shows. I am impressed. This is the kind of analysis that I would pay somebody to do, as I do not have the time to invest in it.
    Thanks for sharing!

  • Reply Ming December 1, 2008 at 1:34 pm

    I almost cannot believe you did that!

  • Reply Wendy December 1, 2008 at 4:55 pm

    Wow. This took a lot of effort. Thanks for linking me. šŸ™‚ You must not have read the right post though if profanity is an issue. Just joking. Only cuss sometimes. šŸ˜€

  • Reply Shannon Nelson December 1, 2008 at 7:56 pm

    I have never seen anything broken down like this before! Amazing. I’m sure this took a lot of time to do–and thank you for the link!

  • Reply colleen coplick December 2, 2008 at 4:56 am

    who am i? a blogger. a social media wonk. I have my own gravitational force, I am the essence of porn in a good way, I am sunshine with piercings, the Kat Von D of the internet, and A force of nature. (all things I have been told in the past 6 months).

    Why am I following you? Dunno… i prolly followed you back. *shrug* am not actively seeking people to follow ATM.

  • Reply Chel Wolverton December 2, 2008 at 7:03 am

    @spatially dissects his network. You want to read this post: http://idek.net/ik

  • Reply J G December 2, 2008 at 8:19 am

    Ming – thanks for the note and keep the fun going over at your blog.

    Shannon – I found your blog because my wife believe she has to spa – thanks for the note.

    Colleen, you are listed as social media wonk in this analysis, but the other I would have never attributed to you, unless I was drinking.

    Wendy, maybe profanity was the wrong phrase, work appropriate?

    @Stephen – as always great to know you and thanks for the feedback.

  • Reply Cheryl Smith December 2, 2008 at 11:27 am

    WOW – what an incredible way to drill through your Twitter following data! Very impressive and thanks for including me.

    Besides this post (and any possible follow up posts), how will you use this date for your own Twitter strategy? That’s assuming you plan to use the data, but somehow I don’t think you’d go to all the trouble, time without some additional ideas in mind before hand, or at least generated during the process.

    Well done!

  • Reply J G December 2, 2008 at 1:18 pm

    Cheryl – the post is in progress as I type…. thanks for your comment and for being part of the network analysis.

  • Reply Craig Steed December 4, 2008 at 1:35 am

    Way to go, that’s a huge effort and I love the photo of the tally chart, the paper work of this sort kind of takes the ‘anal’ out of analysis (which is a compliment by the way). Nice one.

  • Reply Jill December 5, 2008 at 10:12 am

    OMG.. amazing data! Very impressive and interesting information you have managed to put together here.

    Thanks a lot for sharing, and for adding a link to my little world here. šŸ˜‰

    Greetings from Sweden

  • Reply tony dee December 6, 2008 at 2:45 am

    I’d sure hate to be your study partner in statistics class. You’re attention to detail is unrivaled.

  • Reply Pat Williams December 7, 2008 at 10:05 am

    Wow! Somehow I missed this when you posted it but am so glad I came across it today. Thanks for including my site and especially for sharing this info – incredibly interesting! I’ve added you to my reader so I don’t miss anything else!

  • Reply Laura Smith December 8, 2008 at 12:39 pm

    As promised, I am reading and I am COMPLETELY fascinated. I am ex communications marketer turned mommy/farmer. New office space is in the palm of God’s hand where I will (in His power)do my best work. Can’t wait for my next mini-vacation to the coffee shop for more enlightenment- thanks for your work!
    ~Laura in Athens

  • Reply Jennifer Ryan @ I Choose change December 10, 2008 at 6:49 pm

    Huh. I really don’t even know what to say. At first I wanted to just say, “Hey I made a list. “A” list!” That was cool. But then I read the whole post and really am just impressed with your sticktuitiveness. Holy Moly. =)

    I’m not really sure where I fall either. My bio doesn’t really reflect what I do – only a silly something or other that I felt like putting up one day to be less serious. But since you did link to a blog post, I assume I am in the Social Blogger category. Which, yes, would be right.

    Cheers to you!! Great job. =)

  • Reply Jennifer Ryan @ I Choose change December 10, 2008 at 7:00 pm

    Oh, one more thing…. Why I follow. I probably followed you because you had “dad” in your bio. Had you had just “tech marketing” I wouldn’t have. The “dad” part adds more of a connection I think. (Even though, of course, we’ve never spoken. ha ha)

    And, generally speaking, I won’t follow someone who has NO bio. I personally don’t really see the point. I don’t follow just because I’m being followed, although admittedly I did that in the beginning because I was so intrigued by who this crazy person was who was actually following ME. But I got over that really quick.

    As a Psychotherapist, I’m looking for interesting people that make me think. And, I’m really just so over the marketing/mlm/selling types. Although I do follow some of them too because following the conversations has me intrigued in a “that’s really bizarre and tiring and interesting” kind of way. Admittedly, many I quite enjoy! And, I’ve only UNfollowed one time – just a really strange person who I just felt had a weird, negative vibe in his discussions and that gave me the oogies.

  • Reply J G December 10, 2008 at 9:20 pm

    Jennifer – sticktuitiveness is definitely something nice to see spelled, so is oogies, which admittedly is not a word I’ve ever heard or spelled. Glad you found your way over.

    ~jon

  • Reply Ghennipher December 12, 2008 at 1:15 pm

    What a lot of work went into this post and list of people following you! I’m completely impressed and awed! Thanks for adding me as part of your list.

  • Reply Roxanne Darling December 13, 2008 at 3:22 pm

    As has been stipulated, amazing piece of work.

    I am not surprised to see the trend toward more marketers in your Followers – I have noticed anecdotally that many of my new followers are on twitter more to promote than to converse.

    I would venture a guess that if you now analyzed your comments, it would skew considerably more to the bloggers than the marketers.

    Thanks for including us at Bare Feet Studios. Being out here in the piko (belly button) of the Universe (Hawaii) we love connecting with others through the social web.

  • Reply J G December 13, 2008 at 6:39 pm

    Roxanne, Not sure I need to do much analysis, the answer is 100% on the feedback and you are spot on. Thanks for the feedback and definitely think the piko is great place to blog from.

    `jon

  • Reply Walt Ribeiro January 5, 2009 at 11:17 pm

    I just got the Google Alert about this now šŸ™ Thanks for the kind words as #120 ! Stay awesome šŸ™‚

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