Program (2011)

8:00 AM
9:00 AM
Registration, Breakfast
9:00 AM
9:15 AM
BASNA Introduction (Room No. 134)
9:15 AM
11:15 AM
Paper Session 1 (Room No. 134)
11:15 AM
11:30 AM
Coffee Break
11:30 AM
12:15 AM
Keynote 1: Mr. Virendra Gupta, Huawei Technologies, India
(Room No. 106)
12:15 AM
1:15 PM
Keynote 2: Prof. Jaideep Srivastava, University of Minnesota, USA
Business Applications of Social Network Analysis: A Computational Perspective (Room No. 106)
1:15 PM
2:30 PM
2:30 PM
4:30 PM
Paper Session 2 (Room No. 134)
Paper Session 3 (Room No. 134)
4:30 PM
5:00 PM
Coffee Break
5:00 PM
6:30 PM
Poster Session
6:30 PM
9:00 PM
Banquet Talk (Room No. 106) followed by Dinner
Keynote Speaker
Keynote Talk Title & Abstract
Prof Jaideep Srivastava
University of Minnesota, USA
Business Applications of Social Network Analysis:
A Computational Perspective
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, trust, etc. The past few years have seen a tremendous growth in online social networking platforms, from general purpose ones like Facebook and Google+ to special purpose ones like LinkedIn (for business) and World of Warcraft (for multi-player gaming); as well as platforms like Twitter that are difficult to classify. The enthusiasm with which society has adopted these platforms is nothing short of amazing, with over 800 million users for Facebook, over 40 million users for Google+ in just a few months, and over 100 million for Gmail. From a usage perspective, over 50% of Facebook users log on every day (  spending an average of 14 minutes per day ( ), while an average World of Warcraft player spends more than 4 hours per day, a truly surreal statistic! In addition to connecting people worldwide, such platforms are providing an opportunity to truly understand the psycho-sociological motivations for human behavior to a granularity unprecedented in human history.
Social network analysis (SNA) is the study of social networks to understand their structure and behavior. It has been an active field of research in the social and behavioral sciences, and is rapidly generating a lot of interest in computer science, especially since new computational techniques and tools are needed for the multi-terabyte datasets being generated from online social networking platforms. This has led to a number of multi-disciplinary projects, involving teams of behavioral scientists and computational scientists working together, to develop novel methods and tools to explore the current limits of behavioral sciences.
Findings from social and behavioral sciences, both theoretical and empirical, have found applications in the business domain for a long time – including consumer marketing, brand management, product positioning, public relations and image management, decision making, team formation, process management, etc. Deeper insights from the new way of doing social and behavioral sciences are leading to a rethink of all these functions. Innovative companies like Amazon, Google, Facebook, and others are charting new paths.
This talk consists of three parts. First, we describe findings from the Virtual World Observatory ( ), a multi-institutional, multi-disciplinary project which uses data from commercial multi-player games to study many fields of social science, including sociology, social psychology, organization theory, group dynamics, macro-economics, etc. Results from investigations into various behavioral sciences will be presented. Second, we will present commercial examples to show how various business functions are changing. Third, we will present some promising directions for businesses to take, as well as researchers to explore.
Paper Session 1 – Chair: Dr. Avik Sarkar (Room No. 134)
Route Detection and Mobility Based Clustering
M Saravanan (Ericsson R & D, India); Pravinth Samuel V (IIT Madras, India); Pavan Holla (IIT Madras, India)
Crawlers for Social Networks & Structural Analysis of Twitter
Atul Saroop (General Motors R&D, India); Aditya R Karnik (General Motors India Science Lab, India)
Examining the Evolution of Networks Based on Lists in Twitter
Jiayun Zhao (University of Arizona, USA); Sudha Ram (University of Arizona, USA)
Connecting the dots: Retailer, User and Social Sites
Lekha Rao (IBM India Pvt. Ltd., India); Siddharth Ravi Kanth Rao (IBM India Private Limited, India)
Paper Session 2 – Chair: Samit Paul (Room No. 134)
Community Formation in Social Networks based on Knowledge Quotient
Udaya Visweswara (IBM India Software Labs, India); Sharath Chandra (IBM India Software Labs, India)
Density-based community detection in social networks
Kumar Subramani (LMU Munich, Germany); Alexander Velkov (LMU Munich, Germany); Irene Ntoutsi (Ludwig-Maximilians University of Munich, Germany); Peer Kröger (Ludwig-Maximilians University of Munich, Germany); Hans-Peter Kriegel (Ludwig-Maximilians-Universität München, Germany)
People and Entity Retrieval in Implicit Social Networks
Subhashini Venugopalan (IBM Research, India); Anuradha Bhamidipaty (IBM India Research Labs, India); Suman Pathapati (IBM India Research Labs, India)
Paper Session 3 – Chair: Prof Suresh Bhagavatula (Room No. 134)
Social Network Perspective on Innovation: A Review
Srivardhini Jha (Indian Institute of Management, Bangalore, India)
External Social Capital of the Firm: A Review
Shailen Dalbehera (Indian Institute of Management Bangalore, India)

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