The Interdisciplinary Networks Research Center, INTERACT, invites researchers, practitioners, and students to participate in the 1st INTERACT Interdisciplinary Symposium on Social Network Analysis. The event will be co-organized by Universidad de los Andes and CESA (Colegio de Estudios Superiores en Administración) and will be held during June 18th-19th, 2018 (Bogotá, Colombia), at Universidad de Los Andes facilities. The symposium program includes five networks-related workshops, a data camp, keynote presentations and research contributions.
This symposium has two objectives: first, to provide participants that have an interest in social network analysis with methodological training through series of hands-on workshops. Workshops will range from a general introduction to social network analysis to more advanced methods, such as ERGMs, SIENA, and Agent-based Models. Second, to encourage exchanges between Colombian, Latin American and international network scholars through presentations and discussions in themed research-paper sessions. All conference presenters will have the opportunity to further prepare a manuscript for an issue in INSNA journal Connections.
The symposium is hosted by the Interdisciplinary Networks Research Center (INTERACT). This interdisciplinary research center focus on the application of network science to social systems. As an interdisciplinary group we are interested in different approaches and applications of social network methods and theories. This vibrant and welcoming community nurtures developing researchers through collaboration and sound methodological approaches in networks theories, both in terms of scientific relevance as well as real interventions to improve the performance of social systems. Please note that participation in the symposium is not contingent upon submission of an abstract or acceptance as presenter.
Presenters: submit your abstract HERE. Download the call for abstracts.
Attendees: pre-register HERE
Martin Kilduff (PhD Cornell, 1988) is Professor of Organizational Behavior and Director of Research at the UCL School of Management, University College London. He is former editor of Academy of Management Review (2006-08) and former associate editor of Administrative Science Quarterly (2003-2005, 2010-2016). Prior to joining UCL he held positions at Cambridge University, University of Texas at Austin, Penn State, and Insead. Martin’s work focuses on how social networks relate to personality, cognition, and emotion in organizations. His recent research on these topics is in press at Academy of Management Journal, Journal of Applied Psychology, and Academy of Management Annals.
Tomás Rodríguez is an associate professor of Economics at Universidad de Los Andes. His research interests lie within game theory and his main focus to date has been on models of interaction in networks and their applications, and models of communication and aggregation of information. Although he is an economist by training, his research has benefited significantly from the insights of other social sciences, specially sociology and psychology, and wishes to preserve and enhance this interdisciplinary perspective. His current research focuses on peer effects, network formation and social integration.
Tomás Rodríguez es profesor asociado de Economía en la Universidad de Los Andes. Sus intereses de investigación se encuentran dentro de la teoría de juegos y hasta la fecha se ha enfocado principalmente en modelos de interacción en redes y sus aplicaciones, y en modelos de comunicación y agregación de información. A pesar de que es economista de formación, su investigación se ha nutrido significativamente de otras ciencias sociales, especialmente sociología y psicología, y desea preservar y profundizar esta perspectiva interdisciplinaria. Su investigación actual se centra en los efectos de pares en redes sociales, en la formación de redes y en la integración social.
Researchers from the INTERACT group will provide you with the necessary theoretical background in a particular analysis methodology and guide you through some hands-on examples.
In this workshop we will introduce the basic concepts of Social Network Analysis and their use for research. In this session we will learn how to use UCINET as a tool for SNA. We will go from data organization, management, data characterizing and visualization through the tools of data analysis for testing hypothesis with UCINET.
Online Social Network Analysis in Python
Felipe Montes Jiménez
This workshop aims to provide tools for collecting, analyzing and visualizing data of online social networks (eg. Twitter, Facebook, Flickr). We will provide students with concepts and Python scripts for calculating simple network metrics to characterize the network structural properties, to identify influential individuals and clusters in the networks useful for designing marketing campaigns and diffusion of innovations.
Introduction to ERGMs
ERGMs (exponential random graph models) are statistical models that predict the presence/absence of ties. In this session, participants will gain an intuitive (i.e., no stats and no data) understanding of why, and when, ERGMs are appropriate tools to model social networks, what ERGMs can do, and what they cannot do. Participants will also learn the typical process used to specify, estimate, evaluate and interpret an ERGM, using an empirical example.
Introduction to agent-based computational models of social network dynamics
Agent-based computational modeling (ABM) has become a standard approach to link micro-level behavior with macro-level properties. While network theory addresses the complexity of relationships among social entities, computational approaches like ABM are a convenient tool to represent networked interactions of purposeful agents, even more when such networked interactions evolve over time. This tutorial explores the link between ABM and social network analysis, focusing on dynamics and change of the network topology as a result of agents’ decisions.
Introduction to SIENA (Simulation Investigation for Empirical Network Analysis)
SIENA models are stochastic models that allow researchers to analyze social networks over time. They focus on understanding how actors alter their relationships as a function of individual attributes and network characteristics. In this workshop, participants will receive an introduction on how to use the associated packages in R, how to estimate basic models, and how to interpret the results.
The event will feature a permanent data camp, a learning by doing network experience, in which some of our team members will be available to help with your own networks research questions.
Instructions to presenters
Please submit an extended abstract (1200 words or less; may contain tables and pictures) no later than April 1 HERE.
We welcome (and look forward to) submissions from all academic areas that apply social network analysis. Topics may include, but are not limited to, the following:
- Networks in organizations, markets, and supply chain management
- Networks in politics, public policy, and public health
- Computational and mathematical approaches to networks
- Processes of network dynamics
- Multilevel networks
This is a bilingual symposium (English/Spanish). We encourage submissions and presentations in English but submissions and presentations in Spanish are welcome. You will be notified by April 15 whether your work has been accepted for presentation. If desired, submissions can be considered for publication in “Connections”.
Remembers, participation in the symposium is not contingent upon submission of an abstract or acceptance as presenter.
Submission deadline: April 1, 2018
Notification of acceptance: April 15, 2018
Registration opens: April 15, 2018
Symposium dates: June 18 – 19, 2018
Fee (by May 20, 2018): COP 165.000
Fee (by June 15, 2018): COP 200.000
The registration includes access to the workshops, light lunch daily, coffee breaks, and all symposium materials.
|César García Díaz – Department of Industrial Engineering||Santiago Gómez – School of Economics|
|Andres Molano – School of Education||Javier Mejía – School of Economics|
|Felipe Montes – Department of Industrial Engineering||Guillermo Ruiz – School of Management|
|Eric Quintane – School of Management||Camila Umaña-Ruiz – Department of Psychology|
|Sebastian Schorch – School of Management||Andrés Felipe Useche – Department of Industrial Engineering|
|Sebastián Villa – School of Management||Francisco Cardozo – Department of Psychology|
|Andrés Acero – Department of Industrial Engineering||Ana María Jaramillo – Department of Industrial Engineering|
|Claudia Estévez-Mujica – Department of Psychology|