Published at: 2016-11-23
Speaker: Talayeh Aledavood
Title: Understanding individuals’ behavior through their digital traces
Coordinator: Dr. Fakhteh Ghanbarnejad
Time: Sunday, November 27, 2016, 11:30
If you are interested to attend, fill in the form here.
In computational social science, it is typical to use electronic data collected from many individuals to address population-level or network-level questions. However, there is a lot of heterogeneity in social systems, and each individual is different from others. Recently, there has been increasing interest in this heterogeneity, and efforts have been put on understanding individual differences and time evolution of behaviors of individuals that form the networks. As an example, electronic records of activity have revealed that individuals have distinct daily activity patterns of communication in their egocentric networks.
In this presentation, I will talk about methods for understanding individuals’ activity from their digital traces over long periods of time. I will show results from different datasets, and demonstrate that people tend to have a “signature pattern” of interacting with their phones, or communicating with others through their phone. We will also see that these signature patterns or profiles vary for different channels of interaction and communication, but patterns for each of the channels (e.g. call or sms) tend to persist in time.
I will also briefly talk about how mental disorders can disrupt these signature patterns and how we can use digital devices to monitor patients with different mental disorders and how to use the data to better understand these disorders.