Nabin K. Malakar, Ph.D.

NASA JPL
I am a computational physicist working on societal applications of machine-learning techniques.

Research Links

My research interests span multi-disciplinary fields involving Societal applications of Machine Learning, Decision-theoretic approach to automated Experimental Design, Bayesian statistical data analysis and signal processing.

Linkedin


Interested about the picture? Autonomous experimental design allows us to answer the question of where to take the measurements. More about it is here...

Hobbies

I addition to the research, I also like to hike, bike, read and play with water color.

Thanks for the visit. Please feel free to visit my Weblogs.

Welcome to nabinkm.com. Please visit again.

Showing posts with label google. Show all posts
Showing posts with label google. Show all posts

Monday, June 4, 2012

Google drive: a missed opportunity

No, I am not talking about whether launching Google Drive was too late. Nor whether it was up par with available services. Many people have expressed their views.

What I was thinking was in a research perspective. Now and then there are research about tracing the social influence map of the internet. While releasing the products like Google Drive, Google/ or any company gets a rare opportunity to map the influence or spread of it.  For example a news splash by techcrunch might be spread much faster than say another site with similar theme.
What Google could have done was incentive-tize the process of referring the Google Drive. For example, Dropbox and Sugarsync (yes they have referral links) give the referral links for people who want to recommend it to their friends/mass. Studying the click through rate via referral link, can be done by enabling invite only through Emails ("Give G-drive to your friend").

This is not only true for Google, but also to any other company who is planning to release a new product, that could go vibrating in the web.
My assumption is that by studying the spread of influence, it might be useful to infer how the news spread in the human network. Or, at the least, who is the most relevant networker to get the point across.

>