Browsing by Author "Bro, Naim"

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    Learning to cluster urban areas: two competitive approaches and an empirical validation
    (2022) Vera Villa, Camila; Lucchini Wortzman, Francesca; Bro, Naim; Mendoza Rocha, Marcelo; Löbel Díaz, Hans-Albert; Gutiérrez, Felipe; Dimter, Jan; Cuchacovic, Gabriel; Reyes, Axel; Valdivieso López, Hernán Felipe; Alvarado Monardez, Nicolás; Toro, Sergio
    Urban clustering detects geographical units that are internally homogeneous and distinct from their surroundings. It has applications in urban planning, but few studies compare the effectiveness of different methods. We study two techniques that represent two families of urban clustering algorithms: Gaussian Mixture Models (GMMs), which operate on spatially distributed data, and Deep Modularity Networks (DMONs), which work on attributed graphs of proximal nodes. To explore the strengths and limitations of these techniques, we studied their parametric sensitivity under different conditions, considering the spatial resolution, granularity of representation, and the number of descriptive attributes, among other relevant factors. To validate the methods, we asked residents of Santiago, Chile, to respond to a survey comparing city clustering solutions produced using the different methods. Our study shows that DMON is slightly preferred over GMM and that social features seem to be the most important ones to cluster urban areas.
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    Much Ado About Facebook? Evidence from 80 Congressional Campaigns in Chile
    (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2021) Luna, Juan Pablo; Perez, Cristian; Toro, Sergio; Rosenblatt, Fernando; Poblete, Barbara; Valenzuela, Sebastián; Cruz, Andres; Bro, Naim; Alcatruz, Daniel; Escobar, Andrea
    How do political candidates combine social media campaign tools with on-the-ground political campaigns to pursue segmented electoral strategies? We argue that online campaigns can reproduce and reinforce segmented electoral appeals. Furthermore, our study suggests that electoral segmentation remains a broader phenomenon that includes social media as but one of many instruments by which to appeal to voters. To test our argument, we analyze the case of the 2017 legislative elections in Chile. We combine an analysis of Facebook and online electoral campaign data from 80 congressional campaigns that competed in three districts with ethnographic sources (i.e., campaigns observed on the ground and in-depth interviews with candidates). The results of this novel study suggest that intensive online campaigning mirrors offline segmentation.
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    Telar and TelarKG: Data-Driven Insights into Chile’s Constitutional Process
    (2024) Angles, Renzo; Bro, Naim; Donoso Guzman, Ivania Nadine; Luna Farina, Juan Pablo; Hogan, Aidan; Reutter De La Maza, Juan Lorenzo; Rosales-Méndez, Henry; Toro, Sergio