Daniel A. McFarland

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Increased interest in longitudinal social networks and the recognition that visualization fosters theoretical insight create a need for dynamic network visualizations, or network “movies.” This article confronts theoretical questions surrounding the temporal representations of social networks and technical questions about how best to link network change to(More)
If graph drawing is to become a methodological tool instead of an illustrative art, many concerns need to be overcome. We discuss the problems of social network visualization, and particularly, problems of dynamic network visualization. We consider issues that arise from the aggregation of continuous-time relational data ("streaming" interactions) into a(More)
The question of citation behavior has always intrigued scientists from various disciplines. While general citation patterns have been widely studied in the literature we develop the notion of citation projection graphs by investigating the citations among the publications that a given paper cites. We investigate how patterns of citations vary between(More)
Automatically extracting social meaning and intention from spoken dialogue is an important task for dialogue and information extraction applications. We describe a system for solving the new task of detecting elements of interactional style: whether a speaker is awkward, friendly, or flirtatious. We create and use a new spoken corpus of approximately 1000(More)
Research on measurement error in network data has typically focused on missing data. We embed missing data, which we term false negative nodes and edges, in a broader classification of error scenarios. This includes false positive nodes and edges and falsely aggregated and disaggregated nodes. We simulate these six measurement errors using an online social(More)
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ from what is perceived by the hearer, systems that analyze human conversations need to be able to extract both the perceived and the intended social meaning. We investigate this(More)
Critical and resistance theorists propose that race and class backgrounds influence everyday forms of student resistance in schools. This article argues that the microsocial process of student defiance is less characterized by individual traits of race and class than by the formal and informal organizational characteristics of social settings. Using unique(More)
Science policy makers, university administrators, funding agencies, and prospective students all rely on many factors when deciding which academic institutions to become involved with. Organizations have stepped in to provide information to support such decision makers. From US News and World Report rankings1 to the recently released National Research(More)
Academic collaboration has often been at the forefront of scientific progress, whether amongst prominent established researchers, or between students and advisors. We suggest a theory of the different types of academic collaboration, and use topic models to computationally identify these in Computational Linguistics literature. A set of author-specific(More)
ized as a nation of joiners, whose democracy is rooted in civil society (Tocqueville [1848] 1988). The participation of American citizens in families, schools, workplaces, and voluntary associations greatly influences their involvement in voting, campaigns, political parties, and community projects. As such, institutional affiliations shape the inputs that(More)