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Visualize your LinkedIn network from Connections.csv

Drop the Connections.csv or the whole ZIP from your LinkedIn data export, and this page draws every connection on a calendar spiral by date, job function and seniority.

SampleThe network map with sample data: one dot per connection on a spiral by year, coloured by job function.
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Your export stops on the day you download it

Connections.csv records who you added and when. It has nothing on whose profiles you opened, which invites you sent and who accepted, who replied, or who viewed your profile last week. An export next month gives you the same seven columns with a few more rows.

LinkedAsk keeps that record from the day you install it. The Chrome extension saves the profiles you visit, your invites, replies and profile viewers as you use LinkedIn, and lays them out in a searchable activity history. You can ask its AI chart builder for "everyone I contacted at Stripe this quarter" and get a chart back. Add LinkedAsk to Chrome.

Connections.csv

Who you added and when. Company and title as of the export day.

LinkedAsk, from install day

Visits, invites, accepted invites, replies and profile viewers, kept as a timeline you can search or chart.

What's in LinkedIn's Connections.csv, and what isn't

LinkedIn puts your first-degree connections in one file with seven columns: First Name, Last Name, URL, Email Address, Company, Position and Connected On. Three lines sit above the header: a "Notes:" line, a paragraph about email addresses and a blank line. Excel opens them as junk rows and many import tools reject the file. This page skips them for you.

Company and Position show each person's job on the day you exported. Someone you met at Adyen in 2017 shows up under their 2026 employer.

Email Address is empty for most rows. LinkedIn fills it in only for people who turned on the setting that lets connections download their email, and that setting starts switched off.

The file has no location, industry, headline or photo. It also has no links between your connections, so no tool built on this export can show who knows whom. For the full list of files in the archive, see what you get in a LinkedIn data export.

How to read your LinkedIn network map

The map is a calendar spiral. Your first connection sits near the centre, and each ring outward adds a year. Angle is the month, with January at the top and the year running clockwise, so people you added in the same season line up along one spoke.

Each dot is one person. Colour shows their job function and size shows seniority. Click a colour in the legend to hide that group or show it on its own, or use the seniority chips to keep only managers, directors or C-level.

Bright arms are bursts: weeks where you added at least three times your usual number of people. The tool labels each burst with the company most of those people share. A new job, a graduation or a conference often leaves this mark, and you will know which one it was.

Search a company, title or name and the matching dots light up and join into one figure. You see at a glance when that group entered your network.

What the numbers mean

Connections counts the rows with a readable date. Years on LinkedIn runs from your earliest Connected On date to your latest. Biggest day is the single date with the most new connections, often an event or your first week at a new company.

Top company counts people by current employer after the tool merges spellings. "Microsoft Corporation" and "Microsoft", or "Brightloop B.V." and "Brightloop", count as one company, and the facts panel shows how many spellings it merged. Subsidiaries with different names stay separate.

Function and seniority come from keywords in the Position column, such as engineer, recruiter, founder, dietitian, director or intern, in English, Dutch, Russian, German, French and Spanish. They are guesses. Someone with two roles in one title, like "Founder & dietitian", gets a main group plus an "also" group. A title like "Making things happen at Acme" lands in Unclassified, and the legend shows the size of that group. Director level and up uses the same guesses, so treat it as an estimate.

Ways to use your network map

Job hunting: filter to the functions you want to work in and look for the bursts around past jobs. Those are the people who saw your work up close, and the cleaned CSV gives you their titles and the date you connected. Looking for names at specific companies? Use the company connections finder.

Selling: switch on Director and C-level, pick the functions you sell to, and export the result. The cleaned CSV keeps LinkedIn's columns, drops the Notes lines and adds Function and Seniority, so you can sort it in a spreadsheet or import it into a CRM.

Curious: the spiral shows your career in the order you lived it, one job and one conference at a time. Download the poster to share it. The poster keeps the dots, colours and years and leaves out every name.

Questions about the network map

Short answers about the file and what the map shows.

Can I download only my connections from LinkedIn?

As of October 2026, no. The "Want something in particular?" list offers Articles, Invitations, Profile, Recommendations and Registration, and Connections is not on it. Pick "Download larger data archive" instead. Connections.csv comes inside that ZIP, and you can drop the ZIP on this page without unzipping it.

Why does the LinkedIn data export take 24 hours?

The larger archive holds dozens of files, including messages and account history, and LinkedIn says it emails the download link within 24 hours. The link works for about 72 hours. After that, you request a new archive. The step-by-step version is in how to export your LinkedIn connections.

Is my Connections.csv uploaded anywhere?

No. The page opens the file inside your browser and does all the work there. LinkedAsk has no copy of it. Close the tab and it is gone. You can check: load this page, turn off your Wi-Fi, then drop your file. It still works.

Is there a replacement for LinkedIn InMaps?

LinkedIn shut InMaps down on 1 September 2014 and never brought it back. InMaps drew the links between your connections, and the data export doesn't include those links, so no tool built on the export can redraw it. This map uses what the file does have: the date you connected with each person, plus their current company and title.

Why are email addresses missing from my LinkedIn export?

LinkedIn includes a connection's email only if that person turned on the setting that lets their connections download it. The setting starts switched off, so most rows have an empty Email Address column. You can't fill those gaps from the export.

How does the tool guess job function and seniority?

It matches keywords in each person's Position: a title with "engineer" goes to Engineering, "diëtist" or "coach" to Health & coaching, and "director", "head of" or "руководитель" counts as Director level. It reads titles in English, Dutch, Russian, German, French and Spanish. Founder and owner words come first. After that, the role written first in the title decides, and a recruiter stays in Recruiting whatever field they hire for. Topic words such as "AI" or "product" only count when the title has no role word, so "Product Manager (AI)" is Product. A title with two roles gives one main group and an "also" group: "Co-founder & CTO" is Founders & execs, also Engineering. The star takes the main group's colour and the legend counts each person once, under the main group. Filters and search find the person under either group. A vague title like "Principal" at a company named Ventures or Capital counts as an investor. Titles with no match go to Unclassified. The guesses use current titles, so someone who changed jobs since you connected shows their new role.

Keep the map growing from today

LinkedAsk records your LinkedIn activity as you browse: visits, invites, replies and who viewed you.

Add LinkedAsk to Chrome