FUNDAMENTAL LAW OF
SOCIAL NETWORKS?
NIDHI SRIDHAR
NITK SURATHKAL
nidhisridhar16@gmail.com
What could this law be?
Which search engine do you use?
Which Social Networking Site?
But 11-12 years ago?
The only common
site
The question here is what
made Facebook so
different?
Why did people shift from
the previous sites to...
Major Reasons for the Shift
Why not Google Plus?
What cause that shift?
Diffusive Shift Non diffusion
● Influence of a
person’s friends
directly or
indirectly
● Due to mar...
Concept of Feature Space
Unique Features
Features of a SNS that
the user uses
exclusively on that site
Ex: Hangouts on G+,...
Concept of Feature Space
x1
= 10% = percent of time
span spent by the user u on
the features which are
available only on S...
MODEL
T- Time spent on Social Networking Sites by a person.
On the arrival of a new SNS, T gets split into Told
and Tnew
....
Conclusion
● If the attachment factor is too large, a diffusive shift might not occur. (The Facebook - G+ case)
● Attachme...
Future Work
Make improvements to
the current model
Add the non progressive
case
Delve deeper into the
attachment factor an...
Thank You!
Any Questions?
NAG PPT
of 16

NAG PPT

Published on: Mar 3, 2016
Source: www.slideshare.net


Transcripts - NAG PPT

  • 1. FUNDAMENTAL LAW OF SOCIAL NETWORKS? NIDHI SRIDHAR NITK SURATHKAL nidhisridhar16@gmail.com
  • 2. What could this law be?
  • 3. Which search engine do you use?
  • 4. Which Social Networking Site?
  • 5. But 11-12 years ago?
  • 6. The only common site The question here is what made Facebook so different? Why did people shift from the previous sites to Facebook and why isn’t the complete switchover happening now?
  • 7. Major Reasons for the Shift
  • 8. Why not Google Plus?
  • 9. What cause that shift? Diffusive Shift Non diffusion ● Influence of a person’s friends directly or indirectly ● Due to marketing strategies or shift independently Non Diffusive Shift
  • 10. Concept of Feature Space Unique Features Features of a SNS that the user uses exclusively on that site Ex: Hangouts on G+, Tweets on Twitter Common Features Features of a SNS that the user uses on more than one site Ex: Newsfeed on Facebook(Similar to Stream on G+)
  • 11. Concept of Feature Space x1 = 10% = percent of time span spent by the user u on the features which are available only on S1 x2;3 = 8% = percent of time span spent by the user u on features which are present precisely on both S2 and S3 x1;2;3 = 40% = percent of time span spent by the user u on features which are present on all three SNSs.
  • 12. MODEL T- Time spent on Social Networking Sites by a person. On the arrival of a new SNS, T gets split into Told and Tnew . Tnew is initially dependent on the unique features of the SNS2 . It is also dependent on the number of your friends on the new site In a successful shift, with time, Tnew increases and Told decreases. The easiness of a shift is determined by an unknown “attachment factor” (Kept variable in the model) Our model further proves that if this attachment factor is greater than the unique fraction of features that the new site offers, a shift by diffusion never occurs.
  • 13. Conclusion ● If the attachment factor is too large, a diffusive shift might not occur. (The Facebook - G+ case) ● Attachment factor may have a direct correlation with the overall time spent on the initial SNS. ● The unique features may direct some fraction of T to use the new site, but may not guarantee a complete transfer. ● Features involving Passive engagement are most often used on such sites like Newsfeed. These features can help increase the attachment factor due to their personal yet passive nature.
  • 14. Future Work Make improvements to the current model Add the non progressive case Delve deeper into the attachment factor and Feature Space concepts Make the model more generic to be applicable to other products with no explicit graph
  • 15. Thank You! Any Questions?

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