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  • Editor’s Note: This is a guest post written by Anum Hussain from HubSpot. For more on LinkedIn Groups, register for a free on-demand webinar series co-hosted by HubSpot and LinkedIn on “How to Master LinkedIn for Marketing“. Connect with Anum on LinkedIn.

    Earlier this year, a HubSpot study found that when it comes to generating leads, LinkedIn is 277% more effective than other social networks. But before you start hunting for leads, you need to create prospects. That’s why this post will delve into the benefits of LinkedIn Groups—gathered from HubSpot’s extensive use of LinkedIn Groups—to help you make the most of this social network!

  • Every day, millions of professionals like you are talking on LinkedIn’s Groups to find opportunities, share knowledge, and learn from each other. This is why today we’re announcing some important improvements to group search. For example, our members have created over 1.2 million groups on LinkedIn about topics ranging from real estate to fashion to entomology. As we’ve grown, it’s become even more important for us to help you find and engage with the topics you care about most.

  • I’m pleased to announce the newest, easiest way to participate in professional conversations happening in over a million LinkedIn Groups today. Welcome to the first LinkedIn application within Groups – Polls – that will be rolling out to all members over the next few days.

    A key reason our members use LinkedIn Groups is to share insights with like-minded professionals. Voting on polls now provides the same quick convenience of clicking “Like”, but with also the richer point of view of a comment.

  • Have you ever wondered which LinkedIn Groups would be most valuable to your career? Have you explored new groups and wondered, how active is this group, is this the group for me, or what kind of professionals are in this group?

    Today we’re launching a brand new Group Statistics dashboard that delivers unique insights into groups. And it’s available for every group on LinkedIn.

  • This is a part of our continuing series on engineering and analytics at LinkedIn. If this isn’t your cup of Java, check back tomorrow for regular LinkedIn programming. Else, check out our Engineering Blog  for more. - Ed.

    There are over 1 million groups on LinkedIn and millions of members join these groups every week. When working with this volume of data, we ran into an interesting problem: how can we rank group discussions so that the most “interesting” ones appear at the top? What algorithm could handle the huge stream of activity – new discussions, comments, likes, views, follows and shares – to produce an order that would work for active and inactive groups as well as for active and inactive members?