Published in Network Science, 2024
Recommended citation: Neal, Z. P., Z. Almquist, J. Bagrow, A. Clauset, J. Diesner, E. Lazega, J. Lovato, J. Moody, T. P. Peixoto, Z. Steinert- Threlkeld, and A. S. Teixeira (accepted). Recommendations for sharing network data and materials. Network Science.
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Published in American Journal of Epidemiology, 2024
Recommended citation: Almquist, Z. W., Kahveci, I., Hazel, M. A., Kajfasz, O., Rothfolk, J., Guilmette, C., Anderson, M.C., Ozeryansky, L & Hagopian, A. (2024). Innovating a Community-driven Enumeration and Needs Assessment of People Experiencing Homelessness: A Network Sampling Approach for the HUD-Mandated Point-in-Time Count. American Journal of Epidemiology.
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Published in International Journal on Homelessness, 2024
Recommended citation: Anderson, M.C., Hazel, A., Perkins, J., & Almquist, Z. (2024). Norms of Fairness and Generosity Among People Experiencing Homelessness: A Dictator Game Field Experiment. International Journal on Homelessness, 3(3), 1–13.
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Published in Research in Nursing & Health, 2022
Recommended citation: Ford, J. D., Marengo, D., Olff, M., Armour, C., Elhai, J. D., Almquist, Z., & Spiro, E. S. (2022). Temporal trends in health worker social media communication during the COVID‐19 pandemic. Research in nursing & health, 45(6), 636-651.
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Published in Proceedings of the National Academies of Sciences, 2022
Recommended citation: Thomas, L. J., Huang, P., Yin, F., Xu, J., Almquist, Z. W., Hipp, J. R., & Butts, C. T. (2022). Geographical patterns of social cohesion drive disparities in early COVID infection hazard. Proceedings of the National Academy of Sciences, 119(12).
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Published in Population, Space and Place, 2021
Recommended citation: Abel, G. J., DeWaard, J., Ha, J. T., & Almquist, Z. W. (2021). The form and evolution of international migration networks, 1990–2015. Population, Space and Place, 27(3)
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Published in American Journal of Human Biology, 2020
Recommended citation: Jones, J. H., Hazel, A., & Almquist, Z. (2020). Transmission‐dynamics models for the SARS Coronavirus‐2. American Journal of Human Biology, 32(5).
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Published in Proceedings of the National Academies of Sciences, 2020
Recommended citation: Thomas, L. J., Huang, P., Yin, F., Luo, X. I., Almquist, Z. W., Hipp, J. R., & Butts, C. T. (2020). Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity. Proceedings of the National Academy of Sciences, 117(39), 24180-24187.
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Published in International journal of environmental research and public health, 2020
Recommended citation: Anderson, M. C., Hazel, A., Perkins, J. M., & Almquist, Z. W. (2021). The ecology of unsheltered homelessness: Environmental and social-network predictors of well-being among an unsheltered homeless population. International journal of environmental research and public health, 18(14), 7328.
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Published in Research and Politics, 2020
Recommended citation: Almquist, Z. W., & Bagozzi, B. E. (2020). Automated text analysis for understanding radical activism: The topical agenda of the North American animal liberation movement. Research & Politics, 7(2).
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Published in Regulation & Governance, 2019
Recommended citation: Bagozzi, B. E., Berliner, D., & Almquist, Z. W. (2021). When does open government shut? Predicting government responses to citizen information requests. Regulation & Governance, 15(2), 280-297.
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Published in Mathematical Population Studies, 2019
Recommended citation: Almquist, Z. W., Helwig, N. E., & You, Y. (2020). Connecting Continuum of Care point-in-time homeless counts to United States Census areal units. Mathematical Population Studies, 27(1), 46-58.
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Published in Field Methods, 2018
Recommended citation: Almquist, Z. W., Arya, S., Zeng, L., & Spiro, E. (2019). Unbiased sampling of users from (online) activity data. Field Methods, 31(1), 23-38.
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Published in Environment and Planning B: Urban Analytics and City Science, 2018
Recommended citation: Almquist, Z. W. (2020). Large-scale spatial network models: An application to modeling information diffusion through the homeless population of San Francisco. Environment and Planning B: Urban Analytics and City Science, 47(3), 523-540.
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Published in Statistica Sinica, 2018
Recommended citation: Almquist, Z. W., & Butts, C. T. (2018). Dynamic network analysis with missing data: theory and methods. Statistica Sinica, 28(3), 1245.
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Published in Journal of Computational and Graphical Statistics, 2017
Recommended citation: Mallik, A., & Almquist, Z. W. (2019). Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models. Journal of Computational and Graphical Statistics, 28(4), 967-979.
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Published in Polotical Analysis, 2017
Recommended citation: Almquist, Z. W., & Butts, C. T. (2013). Dynamic network logistic regression: A logistic choice analysis of inter-and intra-group blog citation dynamics in the 2004 US presidential election. Political analysis, 21(4), 430-448.
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Published in Journal of Abnormal Psycology, 2017
Recommended citation: Anker, J. J., Forbes, M. K., Almquist, Z. W., Menk, J. S., Thuras, P., Unruh, A. S., & Kushner, M. G. (2017). A network approach to modeling comorbid internalizing and alcohol use disorders. Journal of abnormal psychology, 126(3), 325.
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Published in PloS One, 2016
Recommended citation: Almquist, Z. W., & Bagozzi, B. E. (2016). The spatial properties of radical environmental organizations in the UK: Do or Die!. PLoS one, 11(11).
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Published in Sociological Methods and Research, 2016
Recommended citation: Almquist, Z. W., & Bagozzi, B. E. (2019). Using radical environmentalist texts to uncover network structure and network features. Sociological Methods & Research, 48(4), 905-960.
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Published in Socius: Sociological Research for a Dynamic World, 2016
Recommended citation: Spiro, E. S., Almquist, Z. W., & Butts, C. T. (2016). The persistence of division: Geography, institutions, and online friendship ties. Socius: Sociological Research for a Dynamic World, 2.
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Published in Journal of Mathematical Sociology, 2015
Recommended citation: Butts, C. T., & Almquist, Z. W. (2015). A flexible parameterization for baseline mean degree in multiple-network ERGMs. The Journal of mathematical sociology, 39(3), 163-167.
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Published in Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 2015
Recommended citation: Smith, E. J., Marcum, C. S., Boessen, A., Almquist, Z. W., Hipp, J. R., Nagle, N. N., & Butts, C. T. (2015). The relationship of age to personal network size, relational multiplexity, and proximity to alters in the Western United States. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(1), 91-99.
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Published in Geographical Analysis, 2014
Recommended citation: Almquist, Z. W., & Butts, C. T. (2015). Predicting Regional Self‐Identification from Spatial Network Models. Geographical analysis, 47(1), 50-72.
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Published in Sociological Methodology, 2014
Recommended citation: Almquist, Z. W., & Butts, C. T. (2014). Logistic network regression for scalable analysis of networks with joint edge/vertex dynamics. Sociological methodology, 44(1), 273-321.
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Published in American journal of community psychology, 2014
Recommended citation: Boessen, A., Hipp, J. R., Smith, E. J., Butts, C. T., Nagle, N. N., & Almquist, Z. (2014). Networks, space, and residents’ perception of cohesion. American journal of community psychology, 53, 447-461.
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Published in Social Networks, 2012
Recommended citation: Almquist, Z. W. (2012). Random errors in egocentric networks. Social networks, 34(4), 493-505.
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Published in Demographic Research, 2012
Recommended citation: Almquist, Z. W., & Butts, C. T. (2012). Point process models for household distributions within small areal units. Demographic Research, 26, 593-632.
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Published in Journal of Statistical Software, 2010
Recommended citation: Almquist, Z. W. (2010). US Census spatial and demographic data in R: the UScensus2000 suite of packages. Journal of Statistical Software, 37, 1-31.
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Published in Proceedings of the 52nd Hawaii International Conference on Systems Science (HICSS), 2019
Recommended citation: Zeng, L., Spiro, E., & Almquist, Z. (2019, January). " Friending" in online fitness communities: Exploring activity-based online network structure. In Proceedings of the 52nd Hawaii International Conference on Systems Science (HICSS), pp.2822–2831.
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Published in Social Computing and Social Media, 2018
Recommended citation: Zeng, L., Almquist, Z. W., & Spiro, E. S. (2018). Stay connected and keep motivated: Modeling activity level of exercise in an online fitness community. In Social Computing and Social Media. Technologies and Analytics: 10th International Conference, SCSM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II 10 (pp. 137-147). Springer International Publishing.
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Published in iConference 2017 Proceedings, 2017
Recommended citation: Zeng, L., Almquist, Z. W., & Spiro, E. S. (2017). Lets Workout! Exploring Social Exercise in an Online Fitness Community. iConference 2017 Proceedings Vol. 2.
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Published in ACM workshop on Workshop on online social networks, 2012
Recommended citation: Kurant, M., Gjoka, M., Wang, Y., Almquist, Z. W., Butts, C. T., & Markopoulou, A. (2012, August). Coarse-grained topology estimation via graph sampling. In Proceedings of the 2012 ACM workshop on Workshop on online social networks (pp. 25-30).
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Published in Social Network Analysis of Disaster Response, Recovery, and Adaptation, 2016
Recommended citation: Almquist, Z. W., Spiro, E. S., & Butts, C. T. (2017). Shifting attention: Modeling follower relationship dynamics among us emergency management-related organizations during a colorado wildfire. In Social network analysis of disaster response, recovery, and adaptation (pp. 93-112). Butterworth-Heinemann.
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Published in Bayesian Inference in the Social Sciences, 2014
Recommended citation: Almquist, Z. W., & Butts, C. T. (2014). "Bayesian Analysis of Dynamic Network Regression with Joint Edge/Vertex Dynamics." In Bayesian Inference in the Social Sciences. Ed. by I. Jeliazkov and X.-S. Yang. Hoboken, New Jersey: John Wiley & Sons.
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