NDLI: A global local modeling of internet usage in large mobile societies

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A global local modeling of internet usage in large mobile societies

Content Provider	ACM Digital Library
Author	Moghaddam, Saeed Somaiya, Manas Ranka, Sanjay Helmy, Ahmed Almutairi, Abdullah
Abstract	Real-world wireless Internet usage data for any user is typically generated via an overlap of many correlations. These correlations could be based on hobbies (e.g. sports fan), profession (e.g. work e-mail), day-to-day activities (e.g. news, Internet banking), communication (e.g. instant messaging, social networks), etc. The likelihood of appearance of these correlations in usage data may be influenced by the type of location the user is in. Hobbies and communication related web sites would be more likely to be accessed at home, Profession related web sites would usually be accessed at work. Understanding and capturing this generative process that is based on human interests, behavior and location is the key to the design of future mobile networks. We propose a novel Bayesian mixture model called the "Global Local' model based on the "POWER" model that can realistically describe Internet usage and correlations with various locations inside a large mobile society. The "POWER" model is a new class of mixture models where components compete to produce a single data point, this model allows for the discovery of complex overlapping patterns of user's Internet behavior. The "Global Local" model learns a global template of user's Internet behavior patterns using the "POWER" model first, then learns correlations between the templates and locations inside a large mobile society. We design a learning algorithm that can effectively learn the "Global Local" model from Internet usage data, and demonstrate its capabilities using synthetic data. Finally, we analyze a real-world Internet usage data for thousands of users collected via wireless LAN traces and discover many interesting correlations that can be explained very intuitively.
Starting Page	69
Ending Page	76
Page Count	8
File Format	PDF
ISBN	9781450316262
DOI	10.1145/2387191.2387202
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data-driven modeling Wireless networks Mixture models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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