【Edinburgh Bayes Coffee House Tech Talk】Exploring Network Analysis in Telecom, the Macaque Brain and Other Stories
Event Title: Exploring Network Analysis in Telecom, the Macaque Brain and Other Stories
Speaker: Prof. Amit A. Nanavati
Dates: Thursday, 30th October 2025
Time: 11am (GMT)
Location: Edinburgh Bayes Coffee House (4th floor Bayes Center, EH8 9BT)
Join Online: https://app.huawei.com/wmeeting/join/98718641/aygjCvYF0uw08IwFj6UMR8dkxAplu4FQQ
Abstract: We will explore social networks induced by calling patterns of the customers of Telecom Service Providers. We build a social network of the telecom subscribers from the “who-calls-whom” CDR (Call Detail Record) data: we find communities, predict potential churners, identify influencers, etc. We will also take a look at the Macaque Monkey’s brain network as an information network to glean insights from it. Social media platforms such as Twitter have been the target of hatred and hostility. We will discuss models for the spread of hate speech. Finally, we will also briefly visit “signed networks” where edges have a +/- sign associated to indicate a positive/negative interaction between its endpoints.
Bio: Amit A. Nanavati is a Professor at Ahmedabad University and was a visiting researcher at the Informatics Forum (Feb – July, 2025). Prior to this, Amit was a part of IBM Research (2000-2016) and IBM GTS Innovation Labs (2016-21). Amit led the Telecom Research group on The Spoken Web and SNAzzy projects. The Spoken Web project received the National Award 2009 for Technological Innovation/Best Applied Research Aimed at Improving the Life of Persons with Disabilities given by the President of India. The SNAzzy project won an Outstanding Science Accomplishment Research Division Award in 2015. His 2008 paper “Social Ties and their Relevance to Churn in Mobile Telecom Networks” won the EDBT Test of Time Award in 2018. He became an ACM Distinguished Speaker in 2014, and an ACM Distinguished Scientist in 2015.
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