When it comes to LinkedIn connections, some people believe more is better, creating huge networking circles. But that approach has prompted debate, with even some people inside LinkedIn saying that's a risky strategy. Here are three good reasons to beware of having too many LinkedIn connections. As a user of LinkedIn, the quality of your connections with other users will, in general, matter more than the quantity. That’s the argument made by one of the company’s main spokespersons, Krista Canfield, who talked with CIO.com in the wake of our recent article about users of LinkedIn who decide to connect with large numbers of people via the service.For example, one person we profiled had some 8000 LinkedIn connections. In general, garnering that many connections can be risky, Canfield says.More LinkedIn Stories on CIO.com SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe How to Make the Most of LinkedIn Facebook vs. LinkedIn: Which is Better for Professional Networking, Job Hunting and Collaboration? A Proud Member of the LinkedIn Generation The more directly you’ve done business with someone, the stronger the connection will be, making your digital Rolodex that you build on LinkedIn more useful for you and your connections, Canfield argues. If your social networking modus operandi has been to say yes to LinkedIn connection requests without much deliberation, consider these three reasons why you should be selective about your connections. 1. You Don’t Want to Botch Introductions Often, the way to connect with someone on LinkedIn is getting introduced through your current connections. The way this happens: if you find someone at a company that you really want to connect with, you can get introduced through one of your connections who is already connected with that person. When this happens, the person trying to connect you generally puts a message in an introduction message for the person that you’re trying to reach. As such, if your contact list is littered with people you don’t know well, you will frequently be asking for introductions from people whose introduction notes may not come off as a ringing endorsement of you — making the likelihood of your connecting with your intended person much lower. And as the old saying goes, you won’t get a second chance to make a first impression. “If a person is your bridge, they want to trust or know you before they endorse you [in the introduction],” Canfield says. 2. With LinkedIn Connections, Your Rolodex Defines You Given LinkedIn’s default settings, when you connect with someone on LinkedIn, that person will be able to view your connections list. (You can, however, hide them from view by going to your account settings). But assuming you want to make your connections available, if you don’t thoroughly vet them, you’re chancing the possibility that someone you have connected with (such as a boss or colleague) will see non-credible contacts on your connections list. What do you really know about that friend of the contact you made at a tradeshow? If the answer is almost nothing, reconsider the connection.Another reason to vet carefully: You also may open up those trusted connections to be spammed by people that you didn’t screen thoroughly. “Your connection list is a reflection of who you are as a professional,” Canfield says. “Being connected with someone you don’t know won’t give you much credibility with the people you do know and are connected with.” 3.At Job-Hunting Time, Meaningful Connections Matter You may never need LinkedIn more than at times when you need a job. The more meaningful connections you build, the better chance that those people will vouch for you when you’re looking to connect with potential employers. “Especially in an economy like this, you want to have a strong safety net with connections who have a vested interest in what you’re doing,” Canfield says. “If you lose your job tomorrow, would these people want to help you?” Related content feature 4 reasons why gen AI projects fail Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists. By Maria Korolov Oct 04, 2023 9 mins Data Science Data Science Data Science feature What a quarter century of digital transformation at PayPal looks like Currently processing a volume of payments worth over $1.3 trillion, PayPal has repeatedly staked its claim as a digital success story over the last 25 years. But insiders agree this growth needs to be constantly supported by reliable technological ar By Nuria Cordon Oct 04, 2023 7 mins Payment Systems Digital Transformation Innovation news analysis Skilled IT pay defined by volatility, security, and AI Foote Partners’ Q3 report on IT skills pay trends show AI and security skills were in high demand, and the value of cash-pay premiums was more volatile but their average value across a broad range of IT skills and certifications was slightly do By Peter Sayer Oct 04, 2023 6 mins Certifications Technology Industry IT Skills brandpost Future-Proofing Your Business with Hyperautomation By Veronica Lew Oct 03, 2023 7 mins Robotic Process Automation Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe