10 agosto, 2017
Charla SoCVis 11 de agosto
El Grupo de Computación Social y Visualización de la Pontificia Universidad Católica de Chile (SoCVis) y el Departamento de Ciencia de la Computación de la Escuela de Ingeniería UC invitan (DCC UC) para este viernes 11 de agosto, a las 15:30 horas, a la charla “Exponential Random Graph Models for Social Network Analysis”, con el estudiante de doctorado de Nothwstern University y académico de la Facultad de Comunicaciones UC, Diego Gómez Zará.
Lugar: Sala C404, Edificio Construcción Civil, campus san joaquín UC.
“Exponential Random Graph Models for Social Network Analysis”
Diego Gómez Zará, estudiante de doctorado Nothwstern University (Estados Unidos) y académico de la Facultad de Comunicaciones UC, Diego Gómez Zará.
Social network studies have increased during the last years in different disciplines, such as communication and computer sciences. These studies have demanded more statistical methodologies to estimate the degree to wich network structures are likely to occur. and explain what endogenous attributes affect the likekihood of new connections. For these reasons. Exponential Random Graph Models (ERGMs) have been referred to as a promising technique for the modeling of social network (Snijders. 2007). and have wide applications in the area of organizational studies and communication studies. ERGMs are a family of statistical models used to test if one or more social structures are more prevalent in the network than would occur by chance alone (Huffaker et al..2009; Robins. Pattison. Kalish. & Lusher.2007). Topics of this talk include examples of social network modeling, the logic of ERGMs. parameter selection and estimation, parameter interpretation, Goodness of Fit, and troubleshooting convergence issues. We will use the package “statnet” (Handcock, Hunter, Butts, Goodreau, & Morris. 2008) to develop these models.
Sobre el expositor/ About the speaker
Diego Gómez Zará is a Ph.D. Student in the Technology and Social Behavior program at Northwestern University, which is a joint doctoral program in Computer Science and Communications. Currently, he is working at SONIC Lab under the supervision of Prof. Noshir Contractos. He started his academic career at Pontificia Universidad Católica de Chile (PUC), where he is an Adjunct Assistant Professor at the School of Communications. He has given lecture courses in web technologies to engineering, journalism, and literature students. His research projects are related to social media network analysis, natural language processing, and the introduction of computational methods to leadership studies. Diego completed his Master in Computer Science at PUC, in 2012. He has awarded by CONICYT Becas Chile 2017.
La charla “Exponential Random Graph Models for Social Network Analysis” es patrocinada por el proyecto Fondecyt de Iniciación 11150783, “Dealing with information overload using intelligent recommender system interfaces”.