The VWO gold farming team has had several papers accepted for presentation at upcoming conferences.
Keegan, B., Ahmad, M., Williams, D., Srivastava, J., Contractor, N. (2011). “Mapping Gold Farming Back to Offline Clandestine Organizations: Methodological, Theoretical, and Ethical Challenges.” Game Behind the Video Game, Rutgers University, New Brunswick, NJ.
Keegan, B., Ahmad, M., Williams, D., Srivastava, J., Contractor, N. (2011). “Title: Using ERGMs to Map Online Clandestine Behavior to Offline Criminal Activity.” International Network of Social Network Analysis, Sunbelt XXXI, Tampa, FL.
See this and other VWO-related information at the project website.
International Sunbelt Social Network Conference (February 2011):
Young, L., & Contractor, N. (Feb 2011). Individual, tie, and network level predictors of access to social capital: Applying multi-level analysis to the study of ego-network capital. Paper presented at the 2011 International Sunbelt Social Network Conference, St. Pete Beach, FL.
International Communication Association Conference (May 2011):
Young, L., & Pieterson, W. (May 2011). Government to citizen communication in a networked world: †Integrating network and communication theories to inform strategic communication. Paper presented at the 2011 International Communication Association Conference, Boston, MA.
* Also to be presented at the ICA Strategic Communication Pre-Conference (May 26, 2011)
INFORMS 2010 accepts “Encounter in Virtual Space” by Yun Huang, Roger B. Chen, Hani S. Mahmassani, and Noshir Contractor. This paper studies the impact of distance proximity on players’ relation building in SONY EverQuest II game. Yun Huang will present it in Austin Texas on November 10th 2010.
Organizations are restructuring into collaborative work systems because they offer the ability to address complex problems by combining expertise distributed across business functions, knowledge specialties, geographic locations, and organizational boundaries. Often times the goals these systems face are complex and multifaceted requiring multiple distinct teams to coordinate their efforts and compile information for decision making distributed across a network of teams. The current study explores the structural contingency theory prediction that collaboration is a function of alignment between the form of leadership and structure of communication network. Ideas were tested in a sample in 80, 6-person networks tasked with performing a laboratory pc-game-based humanitarian aid task. Leadership form and communication network structures were manipulated, and effects on socio-cognitive networks, teamwork processes, and multiteam effectiveness examined.
Professor DeChurch’s research program explores what makes effective team leaders, how teams successfully collaborate across boundaries, and how leadership and team dynamics are sustained in virtual organizations. Professor DeChurch is currently Principal Investigator on “Building functionally collaborative infrastructure in virtual organizations” (NSF), and “Leadership in complex network environments” (Army Research Institute).
Scott Feld, Purdue University “Social Network Theorizing Using Ideal Types” Friday, November 12, 2010 (audio and slides).
Scott L. Feld suggests that one approach to network theorizing is to identify a useful “ideal type,” carefully specify its defining properties, derive important implications of those properties, and consider how deviations from the defining properties affect the relevant implications. Professor Feld will illustrate this approach by considering the ideal type of a robust network hierarchy, distinguish it from other similar patterns (e.g. a transitive hierarchy or simple core-periphery), provide an empirical illustration, and consider some causes and consequence of this type of network pattern.
Scott L. Feld is Professor of Sociology (and Political Science) at Purdue University, and a Visiting Scholar at NICO. This presentation is part of his current effort to explicate the theoretical strategy in his earlier works on the focused organization of social ties, on friends of friends, and on the robust network hierarchies found in academia.
The presentation will provide an introduction to ET-V 1.0, the latest software released by Benjamin Elbirt / Elbirt Technologies. ET-V 1.0 is a visualization, animation and sonification application for understanding network data in multidimensional space. It is a successor to the Jacob’s Ladder (Elbirt, 2005 & 2009a & 2009b) software line. The software has been rebuilt to use XLS and XLSX files (Microsoft Excel) and includes many new features that improve the overall display and performance. This application is only limited by available resources (memory/CPU/GPU) for the data volume.
M2C 4.0 is provided for conversion of data to coordinate systems. M2C 4.0 is the latest Matrix to Coordinates conversion program that uses the latest MDSJ (Brandes & Pich, 2007) and a customized Procrustes rotation algorithm for longitudinal analysis. Inputs include pairs or matrix, text delimited or XLS/XLSX files. Outputs are in XLSX files and include various calculations and formats including ET-V. The presentation will begin with a brief description and discussion of the M2C application and how the data is converted from relational pairs, matrixes and other formats into a coordinate system of equivalences. This will be followed by a brief tour of ET-V, the data visualization program. Finally, three data sets will be loaded and displayed using various ET-V functionality. These data sets are 1) Migration Patterns among Canadian Provinces (Barnett & Sung, 2003) (73 time points, animated and intonated); 2) US Senate Bill Co-sponsorship (Fowler, 2006) (Fowler, Co-sponsorship Network Data Page, 2010) (17 time points, animated); and 3) Sunbelt Conference Co-authorship networks (Elbirt, 2010) (10 time points, animated).
Bio: Benjamin Elbirt is a software engineer who has developed internet and desktop applications for more than 12 years. He received his master’s degree from SUNY Buffalo under Dr. George Barnett, Dr. Joseph Woelfel and Dr. Frank Tutzauer in 2008. Benjamin is currently employed as the Chief Information Officer of INSNA – the International Network for Social Network Analysis. Areas of interest include Matrix Mathematics, Semantic Text Analysis, Data Visualization and Intonation, Longitudinal/Time Series data, Data Collection, Cognitive Modeling, Agent Based Modeling and Social Network Analysis. More information on software and publications can be found at his website http://www.elbirttechnologies.com.
Networks are a data structure common across all social media that allow populations to author collections of connections. The Social Media Research Foundation’s NodeXL project makes analysis of social media networks accessible to most users of the Excel spreadsheet application. Networks become as easy to create as pie charts. Applying the tool to a range of social media networks has already revealed the variations present in online social spaces. A review of the tool and images of Twitter, flickr, YouTube, and email networks will be presented.
Marc Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. He founded and managed the Community Technologies Group at Microsoft Research in Redmond, Washington and led the development of social media reporting and analysis tools for Telligent Systems. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California. Smith cofounded the Social Media Research Foundation, a nonprofit devoted to open tools, data, and scholarship related to social media research.
The concept of impersonal knowledge networks proposes a new approach for the study of political knowledge and public opinion. Factual knowledge questions and the analysis of simple frequency distributions provide only limited insights into the complex structures and dynamics of how people think and decide on political issues. The concept of impersonal knowledge networks proposes to understand public opinion as a network of topic related aspects. Free word associations of individuals are used as the basis to aggregate bigger knowledge networks. This aggregation is possible by transforming the two-mode network of respondents and their answers to a one mode network of topic aspects. Data presented in this talk were collected in representative CATI interviews on three different national referendum campaigns in Switzerland. The panel design allows not only to describe the knowledge structure at a given time point but also to analyze the dynamics of the structure.
Thomas N. Friemel is an Assistant Professor at the Institute of Mass Communication and Media Research at the University of Zurich (IPMZ) and currently Visiting Scholar at the Annenberg School for Communication at the University of Pennsylvania. He is the organizer of the annual conference on Applications of Social Network Analysis (ASNA) at the University of Zurich and ETH Zurich and applies SNA in various ways in mass communication research.
We propose an exchange platform where people lend each other objects of small value, such as star-shaped screwdrivers, which are transported by the owners or by carriers (friends or acquaintances of the owner in the social network). By running simulations on mobile call detail records, which include location information, from a large metropolitan area, we evaluate the performance of several transportation strategies. Results show that completely unoptimized routing heuristics could deliver an average of 3908 objects, over 10000 injected objects, with an average delivery time of 0.59 days. These preliminary results suggest that, under considerably general assumptions, social networks may indeed be an effective and inexpensive infrastructure for transportation networks. These initial results have important implications for sustainability.
Mauro Cherubini obtained a degree in Psychology and Education in 2001. He then worked at Media Lab Europe, in Ireland, with several study visits at MIT in Boston. In 2004, Mauro earned a Master of Arts by Research at Dublin City University. In 2008, he was conferred a PhD in Computer Science by the Swiss Federal Institute of Technology, where he conducted research on Human-Computer Interaction. In 2008, Mauro joined Telefonica Research, in Barcelona.
