BASNA 2013

Co-located with 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining   ASONAM 2013

Today organizations compete and survive in a networked environment. Their success depends on several factors, one of them being their “network intelligence”: the ability, that is, to understand the relations (or lack of relations) between competitors, institutions, partners, suppliers, employees, and customers.

Networks have always existed but the emergence of information and communication technologies has made them evident and traceable. Digitalized social and business relations may become the new data gold mine feeding business strategies and decisions. Analytics and data mining have traditionally been performed on the entities in isolation. Incorporating the insights from the networks potentially provides a new perspective on issues such as customer behavior, community development, organizational change, knowledge management, stakeholder management, interorganizational collaboration,etc.

Recently, Social Network Analysis (SNA) has emerged also as one of the most innovative and successful fields of management research, as several special issues devoted to SNA recently published in top academic management journals testify. With the digitalization of social relations and communications, management scholars are increasingly able to extract relational data from company websites, online organizational communications, news, and online databases. Also, new research tools, such as web surveys, web scraping tools, text analysis software, and data mining tools, facilitate the extraction, organization, visualization, and interpretation of relational data. Thirdly, the increasing computer power allows management scholars to process larger amounts of data (and relational data) using more sophisticated (and memory expensive) algorithms and statistical methods (such as Exponential Random Graph Models) to analyze larger social networks.

Management consulting companies, technology providers, social networking sites, and business corporations are starting now to address their attention towards SNA as a management tool and business opportunity. However, far from being a mainstream management innovation, SNA is still a research-driven set of theories and methodologies with little applications in the business world. However, the more company data are digitalized, collected, stored, organized, and integrated in enterprise data warehouses, the more data mining tools are able to extract information and knowledge, the more SNA will be able support the identification and management of internal or external social networks for the creation of business value.

The aim of this workshop is to encourage multidisciplinary discussions related to novel ideas and application geared towards analyzing social network data. By bringing together researchers in the fields of SNA, data mining, and management studies, the workshop will focus on identifying the “grey” areas of collaboration among their respective disciplines:

  •  The role of data mining techniques in identifying scalable methods for the extraction and organization of social relations for management research and business practice
  • The role of management research in guiding data mining efforts and SNA metrics development towards theoretically-grounded discoveries about social network emergence.
  • The role of Social Network Analysis in developing and applying metrics and tools for the mapping, evaluation, visualization, and design of social relations in organizations.

Keynote speaker:

 

Important dates:

Date Event
May 31, 2013 Full paper submission deadline
June 15, 2013 Notification of acceptance
June 30, 2013 Camera-ready Paper Due
June 30, 2013 Presenting authors’ registration due
August 25 2013 BASNA Workshop scheduled on August 25.ASONAM Conference is from 26 – 28 August


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Program (2012)

1:30-2:50 pm (room 1) - Session 1: Applications for Organizational Network Analysis. Chair: Mohan Saravanan, Ericsson R&D Chennai, India

  1. Gözde Cüce. Social Network Analysis in Organization Development Studies
  2. James Danowski. Analyzing An Organization with a Semantic Network Include List
  3. Lamia Ben Hiba and Mohammed Abdou Janati Idrissi. An SNA-based evaluation framework for virtual teams
  4. Renuka Hodigere and Diana Bilimoria. Women on public-company boards: factors that affect their odds of board membership relative to those of men

2:50-3:30 pm (room 1) -  Keynote speech: Maksim TsvetovatChief Technology Officer of DeepMile Networks and Faculty member at George Mason University’s Center for Social Complexity

3:30-4:00 pm Coffee break

4:00-5:30 pm  (room 1) - Session 2: Applications for Community Network Analysis. Chair: Mohan Saravanan, Ericsson R&D Chennai, India

  1. Devipsita Bhattacharya and Sudha Ram. Sharing News Articles Using 140 Characters: A Diffusion Analysis on Twitter
  2. Claudia Lauschke. Monitoring User Evolution in Twitter
  3. Tushar Sharma and Tushar Sharma. Finding Communities in Weighted Signed Social Networks
  4. Johannes Bjelland, Geoffrey Canright, Kenth Engø-Monsen, Pål Sundsøy and Rich Ling. A Social Network Study of the Apple vs. Android Smartphone Battle
  5.  Shun Hattori. Spatio-Temporal Web Sensor by Social Network Analysis

Keynote speaker:

Maksim Tsvetovat is the Chief Technology Officer of DeepMile Networks, and an member of the faculty at George Mason University’s Center for Social Complexity. He is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. His current work concentrates on using Big Data / Fast Streaming Data approaches to build understanding of rapidly evolving networks in social media.

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Committee (2012)

Organizing Committee:

General Chairs:

Technical Program Committee:

Program Committee:

Contact us: basna.workshop@gmail.com

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Keynote Speaker (2012)

Keynote speaker (2012):

Maksim Tsvetovat is the Chief Technology Officer of DeepMile Networks, and an member of the faculty at George Mason University’s Center for Social Complexity. He is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. His current work concentrates on using Big Data / Fast Streaming Data approaches to build understanding of rapidly evolving networks in social media.

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BASNA 2011

Co-located with IMSAA 2011 Conference

Today we reside in a networked environment. For example, in telecommunications the network connects the caller and the receiver of a phone conversation. On the internet, various websites are connected by means of hyperlinks. In social media, different individuals are related by visiting or commenting on the same discussion, blog, video, etc. The networks are ubiquitous in Biology and they represent interactions between biological entities such as genes, proteins and metabolites. Networks evolve in other domains like in economics, finance, physics, biology, medicine, neuroscience, social sciences, etc. Networks have always existed but the emergence of internet has made evident and traceable their existence. The increased ability to mine these social networks has seen a large surge of research in social networks across different domains.

Analytics or data mining has traditionally been performed on the entities in isolation. Incorporating the insights from the network can provide huge leap in the analytics and data mining insights on the entities. For example, exploiting the hyperlinks between web pages brought a revolution in web search. Improved predictions are possible by incorporating the insights from telecommunication networks. In social sciences the interaction between people in a social network is simulated in a game theoretic framework to evaluate the effect of government policies or changes in social scenarios.

Recently, Social Network Analysis (SNA) has emerged also as one of the most innovative and successful fields of management research, as several special issues devoted to SNA recently published in top academic management journals testify. With the digitalization of social relations and communications, management scholars are increasingly able to extract relational data from company websites, online organizational communications, news, and online databases. Also, new research tools, such as web surveys, web scraping tools, text analysis software, and data mining tools, facilitate the extraction, organization, visualization, and interpretation of relational data. Thirdly, the increasing computer power allows management scholars to process larger amounts of data (and relational data) using more sophisticated (and memory expensive) algorithms and statistical methods (such as Exponential Random Graph Models) to analyze larger social networks.

Management consulting companies, technology providers, social networking sites, and business corporations are starting now to address their attention towards SNA as a management tool and business opportunity. The most successful business applications of SNA in business practice deal with knowledge management systems, support to innovation processes, customer-relationship management tools, intra-organizational coordination. However, far from being a mainstream management innovation, SNA is still a research-driven set of theories and methodologies with little applications in the business world. However, the more company data are digitalized, collected, stored, organized, and integrated in enterprise data warehouses, the more data mining tools are able to extract information and knowledge, the more SNA will be able support the identification and management of internal or external social networks for the creation of business value.

The aim of this workshop is to encourage multidisciplinary discussions related to novel ideas and application geared towards analyzing social network data. By bringing together researchers in the fields of SNA, data mining, and management studies, the workshop will focus on identifying the “grey” areas of collaboration among their respective disciplines:

  • The role of data mining techniques in identifying scalable methods for the extraction and organization of social relations for management research and business practice
  • The role of management research in guiding data mining efforts and SNA metrics development towards theoretically-grounded discoveries about social network emergence.
  • The role of Social Network Analysis in developing and applying metrics and tools for the mapping, evaluation, visualization, and design of social relations in organizations.

Important dates:

Date Event
24 September 2011 Deadline of submission of papers
15 October 2011 Paper Review Notification
31 October 2011 Final Camera Ready Paper Due
6 November 2011 Deadline for authors’ registration. See IMSAA
12 December 2011 BASNA Workshop

 


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Keynote Speakers (2011)

Professor Jaideep Srivastava

University of Minnesota, USA

Jaideep Srivastava is Professor of Computer Science & Engineering at the University of Minnesota, where he directs a laboratory focusing on research in Web Mining, Social Media Analytics, and Health Analytics. He has authored over 275 papers, and his research has been supported by government agencies, including NSF, NASA, ARDA, IARPA, NIH, CDC, US Army, US Air Force, and MNDoT; and industries, including IBM, United Technologies, Eaton, Honeywell, Cargill, and Huawei Telecom. He has an active collaboration with Allina’s Center for Healthcare Innovation, where he is a Distinguished Fellow. He is on the oversight committee for healthcare information architecture for the University of Minnesota. Dr. Srivastava has significant experience in the industry, in both consulting and executive roles. He has lead a data mining team at Amazon.com, and built a data analytics department at Yodlee. He has provided technology and strategy advice to Cargill, United Technologies, IBM, Honeywell, KPMG, 3M, TCS, and Eaton, and has served as Advisor to the State Government of Minnesota and the Government of India. He holds distinguished professorships at Heilongjiang University and Wuhan University, China. Dr. Srivastava has BS from Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD from University of California, Berkeley. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and has been an IEEE Distinguished Visitor. He has given over 150 invited talks in over 30 countries, including more than a dozen keynote addresses at major conferences. He is a co-founder and President of Ninja Metrics, a social analytics company, whose goal is bring his research in this area into the commercial domain.

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Committee

Organizing Committee:

Technical Program Committee:

  • Irene Ntoutsi, Ludwig-Maximilians-University of Munich, Germany
  • Fan Wang, Microsoft, USA

Program Committee:

Contact us: basna.workshop@gmail.com

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Program (2011)

From
To
Agenda
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
Lunch
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 (http://www.facebook.com/press/info.php?statistics)  spending an average of 14 minutes per day (http://mashable.com/2010/02/16/facebook-nielsen-stats/ ), 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 (http://vwobservatory.com/ ), 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)
1569525059
Route Detection and Mobility Based Clustering
M Saravanan (Ericsson R & D, India); Pravinth Samuel V (IIT Madras, India); Pavan Holla (IIT Madras, India)
1569523913
Crawlers for Social Networks & Structural Analysis of Twitter
Atul Saroop (General Motors R&D, India); Aditya R Karnik (General Motors India Science Lab, India)
1569520633
Examining the Evolution of Networks Based on Lists in Twitter
Jiayun Zhao (University of Arizona, USA); Sudha Ram (University of Arizona, USA)
1569526125
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)
1569524663
Community Formation in Social Networks based on Knowledge Quotient
Udaya Visweswara (IBM India Software Labs, India); Sharath Chandra (IBM India Software Labs, India)
1569510343
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)
1569525349
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)
1569510053
Social Network Perspective on Innovation: A Review
Srivardhini Jha (Indian Institute of Management, Bangalore, India)
1569524275
External Social Capital of the Firm: A Review
Shailen Dalbehera (Indian Institute of Management Bangalore, India)

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Program

Coming Soon……

Committee (2011)

Organizing Committee:

Technical Program Committee:

Advisory Committee:

  • Debabrata Das, IIIT-Bangalore, India
  • Subir Saha , RiT, India
  • Ashutosh Dutta, Niksun, USA, Chair

Program Committee:

Contact us: basna.workshop@gmail.com