The Science Of Influence

Influential people, from journalists and entrepreneurs to investors and developers are idea-generators shaping the ideas we drool over and discuss et infinitum. But who are these people leading the charge? How did they come to be, and rise above the rest to gather a following? Sites like Twitter and Facebook are now testing grounds for quantifying the world’s leaders. But do we understand what influence means and what variables are really at play? We all know that a follower count means nothing, but what does a RT mean? Or better yet, what does an @reply by Scoble mean vs. one from Arrington? Beneath the surface is where the science gets really interesting. In this panel you’ll hear from the experts who are distilling influence down to it’s basic components. They’ll explain tips for increasing influence, which variables really matter and the types of influence they are discovering across the web.
  • The Science Of Influence
    Speakers: Dan Zarrella (Social Media Scientist, HubSpot), Marshall Kirkpatrick (Co-Editor, ReadWriteWeb), Michael Wu (Principal Scientist of Analytics, Lithium Technologies), Ramya Krishnamurthy (Dir Research Engineering, Klout)
    Artist: Ryan Robinson
  • Influential people, from journalists and entrepreneurs to investors and developers are idea-generators shaping the ideas we drool over and discuss et infinitum. But who are these people leading the charge? How did they come to be, and rise above the rest to gather a following? Sites like Twitter and Facebook are now testing grounds for quantifying the world’s leaders. But do we understand what influence means and what variables are really at play? We all know that a follower count means nothing, but what does a RT mean? Or better yet, what does an @reply by Scoble mean vs. one from Arrington? Beneath the surface is where the science gets really interesting. In this panel you’ll hear from the experts who are distilling influence down to it’s basic components. They’ll explain tips for increasing influence, which variables really matter and the types of influence they are discovering across the web.