Guide 3 min read

What do 1st, 2nd, and 3rd degree mean on LinkedIn?

The number next to a LinkedIn name is network distance: 1st degree means you are directly connected, 2nd degree means you share at least one mutual connection, and 3rd degree means they are connected to your 2nd degree. The degrees govern what you can do — 1st-degree connections can message freely, while reaching beyond usually takes an invitation or InMail — and they quietly shape whose profiles surface when anyone searches.

Updated September 2, 2026

What each degree can see and do

First-degree connections accepted an invitation in one direction or the other. They can message you directly, see the profile sections and contact info you expose to connections, and browse your connections list if your settings allow it. Second-degree members share a mutual connection with you; you can see who the mutuals are, and you can invite them to connect — the mutual is the natural context for the note. Third-degree members are reachable mostly via invitation with limited profile visibility, or via InMail if you or they have Premium.

Beyond 3rd degree, members show as out of network, with visibility governed by their public-profile settings. Followers are a separate axis entirely: following someone shows you their posts without any messaging or visibility rights, which is why big accounts push follows over connections.

How degrees shape search — theirs and yours

LinkedIn search does not treat all matches equally: results skew toward closer degrees. When a recruiter searches a title and skill set, candidates inside their network graph — 1st and 2nd degree, plus shared groups — tend to rank above identical strangers. Your connections therefore determine not just who you can reach but who can find you: fifty connections at target companies place you in the 2nd-degree circle of every one of their colleagues, including the sourcing team.

The same skew works when you search. Your results for any query lean toward your own network's neighborhood, which is worth remembering when you research a company: the people LinkedIn shows you first are the ones you already have a path to.

Using the 2nd degree deliberately

The 2nd degree is where job searches are won, because it is the largest set of people you have a warm path to. When a role opens at a company, search the company's people, filter to 2nd degree, and look at who your mutual connections are. A mutual you actually know converts into an introduction or an informal referral question — dramatically warmer than a cold application.

Work the arithmetic consciously: each relevant 1st-degree connection you add multiplies your 2nd-degree reach by their network. This is the real argument for connecting with recruiters, alumni, and former colleagues in your target industry even when nothing is active — you are building the 2nd-degree surface area that a future search will run on.

Frequently asked questions

Can I message a 2nd-degree connection without connecting?

Generally not with a plain message — you either send a connection request (with a note explaining why), use an InMail credit from a Premium plan, or message through a shared group, which LinkedIn permits for fellow group members.

Why do some people show as 'follower' instead of a degree?

Following is one-directional: you see their posts, but there is no connection edge, so no degree applies. Many high-profile members operate follow-first accounts where connection requests from unknowns are ignored by design.

Does removing a connection change my 2nd-degree network?

Yes — you lose the 2nd-degree paths that ran exclusively through them, and neither of you is notified of the removal. Prune fake or spam connections freely, but think twice before removing dormant real ones; their network is still your reach.


Two minutes with the free LinkedIn optimizer shows you how your profile scores on exactly the checks this guide describes.

Apply this to your role
More guides
How many LinkedIn connections do you need?
What the 500+ badge actually signals, why connection count stops mattering after that, and when quality of network beats size for job seekers.
Do LinkedIn endorsements actually matter?
What skill endorsements do and don't influence on LinkedIn, why recruiters mostly ignore the counts, and the five minutes of upkeep that is still worth it.
Do you need a photo on LinkedIn?
Why a photoless LinkedIn profile underperforms, what the photo needs to look like, and the real alternatives if you have privacy or safety concerns.
Can your employer see you're Open to Work?
How LinkedIn's recruiters-only Open to Work setting hides you from your employer, where the holes in that curtain are, and safer ways to run a quiet search.
How does "Who viewed your profile" work?
What LinkedIn shows free vs Premium users about profile viewers, how private mode changes it, and how job seekers should actually read viewer data.
Should you accept LinkedIn requests from strangers?
A working filter for stranger connection requests: which unknowns expand your job-search reach, which are spam or scams, and how to tell in ten seconds.
How often should you post on LinkedIn?
The honest answer for job seekers: profile quality beats posting frequency. When posting helps a search, how often is enough, and when it's a distraction.
What is a complete LinkedIn profile, and does it matter?
What LinkedIn's profile-strength meter measures, the fields that count toward completeness, and why finishing them genuinely changes your search visibility.
Do hashtags on LinkedIn still do anything?
What LinkedIn hashtags actually do in 2026, why their golden era is over, and where a job seeker should (and shouldn't) bother using them.