| Member Profile : Zack Almquist |
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 | Contact Information | Address: -Map Me-
Zack Almquist
University of California, Irvine, Sociology
3151 Social Science Plaza A
Irvine, CA, United States 92697
Phone : (949) 436-6213
E-mail : almquist@uci.edu
Website : http://www.socsci.uci.edu/~almquist/
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| Bibliographic Information |
Almquist, Z. (2012). Random errors in egocentric networks. Social Networks.
Almquist, Z. (2010). US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages., 37 (6), 1-31.
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| | | Software & Data | | Active Calendar Listings |
| US Census 2000 Spatial and Demographic Data in R | (Data) |
| Six R packages which contain the 2000 US Census spatial data at four different geographies (Block, Block Group, Tract, and Census Designated Places), includes selected demographics, and a series of functions dedicated to managing and manipulating the data. |
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| | | Network Graduate Programs | | Network Courses |
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| | | Jobs Posted | | Sunbelt Submissions |
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| Sunbelt XXIX - March 10 to March 15, 2009 - Bahia Hotel | | Abstract : Dynamic Modeling of Organizational Coordination over the Course of the Katrina Disaster |
| In responding to natural disasters, the ties between various governmental agencies becomes crucial. The ability to model tie formation of organizations has clear public policy applications, including the ability to help policymakers better prepare and allocate resources for disasters, thereby facilitating stronger coordinated responses to disasters. Butts et al. (2009) has constructed an EMON data set for Katrina which contains over 1500 organizations and their various interactions over the first 13 days of the disaster. Observation of this real world network allows for competing theories of network evolution. Here, we apply several dynamic models (ranging from simple lagged logistic models to the actor oriented framework of Snijders (2007)) to the Katrina network data, with an eye to identifying major factors at work in the emergence of ties between organizations. Mechanisms examined include homophily, propinquity, inertia, and additional forces relating to local network structure. Suggestions of these findings for the evolution of networks in disrupted settings are discussed. |
| Sunbelt XXX - June 29 to July 04, 2010 - Riva del Garda Fierecongressi | | Abstract : Predicting regional self-identification from spatial network models |
| Typically, human populations are not regarded by those within them as socially homogeneous; instead, population members employ a mental model which allocates persons to perceived social categories or groups. A "group" in this particular sense can be thought of as a "label" or cognitive marker along with a set of identification rules which govern the assignment of labels to persons. Following this, we define self-identification in a particular domain to be the assignment of group labels by egos to themselves. Self-identification occurs in many different domains, one of which is regional, i.e., the identification of oneself with a locationally-associated group (e.g., a "New Yorker" or "Parisian"). Surprisingly, regional self-identification is not well-predicted by ego's immediate region of residence, raising the question of what social and/or cognitive processes account for the discrepancy. Here, we posit that regional self-identification results from an influence process based on the location of ego's alters, such that ego tends to identify him or herself with regions in which many of his or her alters reside. Using a family of extrapolative models for large-scale network structure, we test the performance of this theory versus a number of other alternatives on data from a large sample of respondents from the continental United States. Implications for the role of social networks in shaping the perception of urban regional structure are also discussed. |
| Sunbelt XXXI - February 08 to February 13, 2011 - Trade Winds Beach Resort
http://www.tradewindsresort.com/
St. Pete Beach | | Abstract : Contending Parties: A Logistic Choice Analysis of Inter and Intra-group Blog Citation Dynamics in the 2004 US Presidential Election |
| The 2004 US Presidential Election cycle marked the debut of Internet-based media such as blogs and social networking websites as institutionally recognized features of the American political landscape. Particularly significant was the credentialing of selected blogs as officially designated media sources for purposes of covering the major political party conventions, an act which gave particular legitimacy to two contending groups of partisan blogs (one credentialed for the Republican National Convention (RNC) and the other for the Democratic National Convention (DNC)). Using a longitudinal sample of all DNC and RNC-designated blog citation networks (sampled at six hour intervals for approximately four months) from Butts and Cross (2009) we are able to test for the influence of various strategic, institutional, and balance-theoretic mechanisms – as well as exogenous factors such as seasonality and political events – on the propensity of blogs to cite (i.e., hyperlink to) one another over time. Capitalizing on the temporal resolution of our data, we utilize an autoregressive network regression framework to carry out inference for a logistic choice process closely related to the actor- oriented framework of Snijders (2001). Using a combination of deviance-based model selection criteria (e.g. BIC) and simulation-based model adequacy tests akin to Hunter et al. (2008), we identify the combination of processes that best characterizes the choice behavior of the contending blogs. |
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