@conference {17168,
	title = {First Steps to Netviz Nirvana: Evaluating Social Network Analysis with NodeXL},
	booktitle = {International Conference on Computational Science and Engineering, 2009. CSE {\textquoteright}09},
	volume = {4},
	year = {2009},
	month = {2009/08/29/31},
	pages = {332 - 339},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Social Network Analysis (SNA) has evolved as a popular, standard method for modeling meaningful, often hidden structural relationships in communities. Existing SNA tools often involve extensive pre-processing or intensive programming skills that can challenge practitioners and students alike. NodeXL, an open-source template for Microsoft Excel, integrates a library of common network metrics and graph layout algorithms within the familiar spreadsheet format, offering a potentially low-barrier-to-entry framework for teaching and learning SNA. We present the preliminary findings of 2 user studies of 21 graduate students who engaged in SNA using NodeXL. The majority of students, while information professionals, had little technical background or experience with SNA techniques. Six of the participants had more technical backgrounds and were chosen specifically for their experience with graph drawing and information visualization. Our primary objectives were (1) to evaluate NodeXL as an SNA tool for a broad base of users and (2) to explore methods for teaching SNA. Our complementary dual case-study format demonstrates the usability of NodeXL for a diverse set of users, and significantly, the power of a tightly integrated metrics/visualization tool to spark insight and facilitate sense-making for students of SNA.},
	keywords = {Computer science, computer science education, data visualisation, Data visualization, Educational institutions, graph drawing, graph layout algorithm, Information services, Information Visualization, Internet, Libraries, Microsoft Excel open-source template, MILC, multi-dimensional in-depth long-term case studies, Netviz Nirvana, NodeXL, Open source software, Programming profession, SNA, social network analysis, Social network services, social networking (online), spreadsheet programs, structural relationship, teaching, visual analytics, visualization tool, Web sites},
	isbn = {978-1-4244-5334-4},
	doi = {10.1109/CSE.2009.120},
	author = {Bonsignore,E. M and Dunne,C. and Rotman,D. and Smith,M. and Capone,T. and Hansen,D. L and Shneiderman, Ben}
}
@conference {17653,
	title = {Rigorous Probabilistic Trust-Inference with Applications to Clustering},
	booktitle = {IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT {\textquoteright}09},
	volume = {1},
	year = {2009},
	month = {2009/09/15/18},
	pages = {655 - 658},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how trustworthy its creator is. Since no individual can have direct knowledge of more than a small fraction of information authors, methods for inferring trust are needed. We propose a new trust inference scheme based on the idea that a trust network can be viewed as a random graph, and a chain of trust as a path in that graph. In addition to having an intuitive interpretation, our algorithm has several advantages, noteworthy among which is the creation of an inferred trust-metric space where the shorter the distance between two people, the higher their trust. Metric spaces have rigorous algorithms for clustering, visualization, and related problems, any of which is directly applicable to our results.},
	keywords = {Clustering algorithms, Conferences, Educational institutions, Extraterrestrial measurements, Inference algorithms, Intelligent agent, random graphs, Social network services, trust inferrence, Visualization, Voting, Web sites},
	isbn = {978-0-7695-3801-3},
	doi = {10.1109/WI-IAT.2009.109},
	author = {DuBois,Thomas and Golbeck,Jennifer and Srinivasan, Aravind}
}
@conference {17227,
	title = {Improving Web-based civic information access: a case study of the 50 US states},
	booktitle = {2002 International Symposium on Technology and Society, 2002. (ISTAS{\textquoteright}02)},
	year = {2002},
	month = {2002///},
	pages = {275 - 282},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {An analysis of the home pages of all fifty US states reveals great variety in key design features that influence efficacy. Some states had excessively large byte counts that would slow users connected by commonly-used 56 K modems. Many web sites had low numbers of or poorly organized links that would make it hard for citizens to find what they were interested in. Features such as search boxes, privacy policies, online help, or contact information need to be added by several states. Our analysis concludes with ten recommendations and finds many further opportunities for individual states to improve their Websites. However still greater benefits will come through collaboration among the states that would lead to consistency, appropriate tagging, and common tools.},
	keywords = {Computer aided software engineering, Computer science, contact information, Educational institutions, government data processing, Guidelines, home page design features, information resources, Laboratories, Modems, Navigation, online help, privacy, privacy policies, search boxes, Tagging, Uniform resource locators, US states, USA, User interfaces, Web sites, Web-based civic information access},
	isbn = {0-7803-7284-0},
	doi = {10.1109/ISTAS.2002.1013826},
	author = {Ceaparu,I. and Shneiderman, Ben}
}
