Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Influence Economy
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > The Influence Economy
Uncategorized

The Influence Economy

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

There’s an interesting convergence of two ideas in recent days. On one hand, there’s been a lot of attention to the problem of measuring Twitter authority / influence. On the other hand, there have been efforts, some more serious than others, to monetize the connections established on social networks like Twitter.

Of course, these are flip sides of the same problem: measuring and optimizing value in a social network. Or, as I like to think of it, the influence economy.

I recently proposed a way to measure influence on Twitter–or, more generally, in an asymmetric social network. While the measure is simplistic, it has the virtue of modeling attention scarcity, thus making it resilient to the inflationary effect of people following more people in the hope of reciprocity. I’m quite bullish about it, and looking forward to seeing someone implement it.

Given such a measure, let’s turn to the question of buying and selling friends. If we can measure influence, then we can monetize it, much as content providers monetize their audience’s attention by selling it to advertisers. But, just as content providers destroy their value by spamming their audience…

More Read

Because it’s Friday: How the media turns correlation into causation
An Attention Ponzi Scheme?
The evil bastard child of game theory and behavioral economics
SQLCruise – The “Social-ism” Factor
When Technology Works

There’s an interesting convergence of two ideas in recent days. On one hand, there’s been a lot of attention to the problem of measuring Twitter authority / influence. On the other hand, there have been efforts, some more serious than others, to monetize the connections established on social networks like Twitter.

Of course, these are flip sides of the same problem: measuring and optimizing value in a social network. Or, as I like to think of it, the influence economy.

I recently proposed a way to measure influence on Twitter–or, more generally, in an asymmetric social network. While the measure is simplistic, it has the virtue of modeling attention scarcity, thus making it resilient to the inflationary effect of people following more people in the hope of reciprocity. I’m quite bullish about it, and looking forward to seeing someone implement it.

Given such a measure, let’s turn to the question of buying and selling friends. If we can measure influence, then we can monetize it, much as content providers monetize their audience’s attention by selling it to advertisers. But, just as content providers destroy their value by spamming their audiences with ads, influencers stand to destroy their own value by selling out.

But, as the saying goes, everyone has a price. It may be crude, but we can certainly compute how much influence X gains from Y following X–as well as how much Y’s value as a follower decreases through the dilution of Y’s attention. Thus, if X wants Y as a follower, perhaps X should offer Y compensation that reflects X’s gain and Y’s loss.

I haven’t yet worked out the math, but it seems straightforward. And it might even translate into a business model for Twitter and other social networks. By supporting real value creation in the network, an online social network is in the best position to demand a cut of that value as a commision.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Actian DataFlow, the Little Hadoop Engine That Could, But Probably Won’t

11 Min Read

It’s Not About Big Data, It’s About More Data Sources

7 Min Read

eMail is Dead, Long Live Social Networking: Don’t Get Left Behind

5 Min Read

Will Moore’s law find its way to the cloud?

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?