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BACN Bits & Bytes<br />March 25, 2011<br />::FAQs::<br />http://inmaps.linkedinlabs.com/faq<br />How can I get my InMap?<br />It's easy, go to http://inmaps.linkedinlabs.com, log in with your LinkedIn credentials, and follow the steps. Keep checking back to see how your InMap changes over time as you add more connections.<br />What does my InMap represent?<br />Your InMap is an interactive visual representation of your professional universe, based on the relationships between your connections. We use information about how people in your network are connected to you and each other to create your personalized map.<br />What do the different colors mean? <br />We assign colors based on how all of the people in your network—such as people you went to school with, friends or colleagues—are interconnected. Our algorithm looks at your graph of connections and finds up to eight common groups. The more dense your network is (plus, the more of your connections who are also connected to each other), the better the algorithm is able to differentiate. We don’t use any other information like groups, companies or shares to group people by color—we just look at your network structure.<br />
Inmaps handout

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Inmaps handout

  • 1. BACN Bits & Bytes<br />March 25, 2011<br />::FAQs::<br />http://inmaps.linkedinlabs.com/faq<br />How can I get my InMap?<br />It's easy, go to http://inmaps.linkedinlabs.com, log in with your LinkedIn credentials, and follow the steps. Keep checking back to see how your InMap changes over time as you add more connections.<br />What does my InMap represent?<br />Your InMap is an interactive visual representation of your professional universe, based on the relationships between your connections. We use information about how people in your network are connected to you and each other to create your personalized map.<br />What do the different colors mean? <br />We assign colors based on how all of the people in your network—such as people you went to school with, friends or colleagues—are interconnected. Our algorithm looks at your graph of connections and finds up to eight common groups. The more dense your network is (plus, the more of your connections who are also connected to each other), the better the algorithm is able to differentiate. We don’t use any other information like groups, companies or shares to group people by color—we just look at your network structure.<br />