Have You Analyzed the Value of Your LinkedIn Network?

Posted by | January 19, 2011 | LinkedIn, Social Networking | 12 Comments

When someone connects to you on LinkedIn, they gain the benefit of any non-overlapping  network connections from your first and second degree network. Your first degree connections become their second, and your second degree connections become their third.

Have you ever taken a look at your LinkedIn network at the first and second to see what your network value proposition is to people who may be interested in connecting with you?

Eric Jaquith has, and now so have I.

I highly recommend you do the same.

Using LinkedIn’s filters, I ran a search with no keywords for all of LinkedIn, selecting only my 1st and 2nd degree connections – no groups or “3rd + Everyone Else.” Here’s what my network looks like at the 1st and 2nd degree, from the perspective of the top 10 locations, industries, current companies, and past companies, as well as years of experience, seniority level, and Fortune 1000 rank.

Location

  1. US – 2,429,751
  2. UK – 322,985
  3. India – 320,595
  4. New York – 269,001
  5. San Francisco – 190,194
  6. Canada – 137,191
  7. Chicago – 130,545
  8. Netherlands – 110,712
  9. Boston – 107,740
  10. Washington, DC – 106,402

Eric – you’re unsurprisingly ahead of me in Singapore (26,417) and China (27,664), but not Brazil (54,026), Australia (77,598) or France (48,405). :-)

Industries

  1. Information Technology and Services – 596,824
  2. Computer Software – 293,808
  3. Financial Services – 181,826
  4. Telecommunications – 174,969
  5. Marketing and Advertising – 171,309
  6. Human Resources – 139,940
  7. Staffing and Recruiting – 129,602
  8. Management Consulting – 123,890
  9. Internet – 89,563
  10. Real Estate – 83,866

Current Company

  1. IBM – 19,064
  2. Microsoft – 18,746
  3. Oracle – 18,437
  4. Hewlett-Packard – 14,666
  5. Cisco – 12,916
  6. Dell – 7,559
  7. Deloitte – 7,390
  8. Bank of America – 7,205
  9. SAP – 6,773
  10. PwC – 6,325

Past Company

  1. IBM – 49,874
  2. Oracle – 33,105
  3. Hewlett-Packard – 30,903
  4. Accenture – 30,921
  5. Microsoft – 27,975
  6. PwC – 26,339
  7. AT&T – 21,632
  8. Deloitte – 19,116
  9. Sun Microsystems – 17,883
  10. JPMorgan Chase – 17,720

Years of Experience

  1. Less than 1 year – 51,136
  2. 1 to 2 years – 200,070
  3. 3 to 5 years – 607,905
  4. 6 to 10 years – 972,281
  5. More than 10 years – 1,986,017

Seniority Level

  1. Director – 413,913
  2. VP – 313,158
  3. Owner – 302,251
  4. CXO – 241,431
  5. Partner – 57,270

Fortune 1000

  1. Fortune 50 – 155,932
  2. Fortune 51-100 – 69,316
  3. Fortune 101 – 250 – 122,409
  4. Fortune 251-500 – 90,004
  5. Fortune 501-1000 – 96,588

Are We Connected on LinkedIn?

If you are not already connected to me on LinkedIn as a 1st level connection, now you have some insight into the value of my network should we become directly connected, because you would gain my non-overlapping 1st and 2nd degree connections as new 2nd and 3rd degree connections.

I recommend you perform a similar exercise as to the one I demonstrated above, to get a better understanding of the makeup of your first and second degree connections on LinkedIn.

Happy filtering!

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About Glen Cathey

Glen Cathey is a sourcing and recruiting thought leader with over 16 years of experience working in large staffing agency and global RPO environments (>1,000 recruiters and nearly 100,000 hires annually). Starting out his career as a top producing recruiter, he quickly advanced into senior management roles and now currently serves as the SVP of Strategic Talent Acquisition and Innovation for Kforce, working out of their renowned National Recruiting Center with over 300 recruiters. Often requested to speak on sourcing and recruiting best practices, trends and strategies, Glen has traveled internationally to present at many talent acquisition conferences (5X LinkedIn Talent Connect - U.S. '10, '11, '12, Toronto '12, London '12, 2X Australasian Talent Conference - Sydney & Melbourne '11, '12, 6X SourceCon, 2X TruLondon, 2X HCI) and is regularly requested to present to companies (e.g., PwC, Deloitte, Intel, Booz Allen Hamilton, Citigroup, etc.). This blog is his personal passion and does not represent the views or opinions of anyone other than himself.

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  • Ignacio Ayerbe

    It’s interesting. But why not go directly to the Network Statistics tab in the Contacts section of your LinkedIn profile? The information you mentioned here it’s already displayed in that section.

  • http://www.twitter.com/chrisjgould Chris Gould

    Wow -a lot of IBM’ers out there

    Location
    United States (3,313,568)
    India (491,331)
    United Kingdom (401,261)

    Current Company
    IBM (32,792)
    Accenture (32,034)
    Oracle (29,747)

    Past Company
    IBM (74,239)
    Accenture (58,206)
    Oracle (49,578)

  • http://twitter.com/EricJaquith Eric Jaquith

    Another suggestion: Because the largest companies will have more employees, I recommend you list only the past or current companies YOU have 1st degree connections in. I also attempt to get the actual total number (NOT just 500+) of connections they have and a mobile number after we connect! This benefits everyone looking for a “discreet” introduction. Thank again Glen. I welcome on invites for other super connector in Sourtheast Asia, Europe, and US all airport hub cities.

  • http://twitter.com/EricJaquith Eric Jaquith

    Another suggestion: Because the largest companies will have more employees, I recommend you list only the past or current companies YOU have 1st degree connections in. I also attempt to get the actual total number (NOT just 500+) of connections they have and a mobile number after we connect! This benefits everyone looking for a “discreet” introduction. Thank again Glen. I welcome on invites for other super connector in Sourtheast Asia, Europe, and US all airport hub cities.

  • Dghamel

    Network statistics does not offer statistics to the level that is given here. I’d sure be interested in knowing how exactly to get statistics at the level shown above. Please linkin message to me if you know and are willing to share. I can’t STAND following these threads, so I won’t see instructions posted.

  • http://twitter.com/Sarangbrahme Sarang Brahme

    Nice angle Glen. I’m not sure how many of us had looked at LI from this aspect. It gives some interesting stats.

    Incidentally – Capgemini tops my first level of connections (naturally), Wipro for second level and Infosys for 3rd level. Does this say something? Means most of my Capgemini connections have Wipro people as their first connection? And same goes for Wipro to Infosys?

    You can also play with filters like by selecting

    • All people from Wipro Technologies – Observation – Most have came from Mahindra Satyam with their university as “Bangalore University”.
    • People graduated from “University of Mumbai” in IT field – currently with Capgemini (1) OR TCS (2).

    Just bit of information gathering…..

  • David Whaley

    That’s what I was thinking but it is interesting to actually stop and think about this. Thanks for the thought and insight Glen.

  • Jason Singer

    Great eye-opener, Glen. Your’e the second one to hit me over the head this week about the health of my LinkedIn Network – many thanks to both of you. My network is due for an engine rebuild.

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