Events
Past Event
WED@NICO SEMINAR: Esteban Moro, Universidad Carlos III de Madrid "The lifetime of strong ties in social networks"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Title:
The lifetime of strong ties in social networks
Speaker:
Esteban Moro - Assistant Professor, Universidad Carlos III de Madrid
Talk Abstract:
While strong ties are of paramount important in processes like trust formation, cooperation, decision making, or community formation, little is known about what are the network and individual forces behind their formation and decay. In this talk I will present our recent research about how humans create and destroy ties dynamically and specifically, what is the typical lifetime of a strong tie in social networks. By analyzing the mobile phone communication network of about 20 million people over a long period of time of 19 months, we are able to see that humans have a constant capacity to maintain a number of social ties, which transalates into a constant creation and corresponding decay of ties. Thus, humans have very well defined dynamical social strategies (social keepers or social explorers) depending on how fast those relationships are created and destroyed. Furthermore we analyzed how strength of ties is built and destroyed in time. According to the famous "weak tie hypothesis" by Mark Granovetter, tie strength is correlated with its social embeddedness, but which one come first? Our research shows that once that a tie is created is reaches almost instantaneously its strength while its embeddedness slowly growths even months after tie formation, highlighting the fact that the Granovetter hypothesis is a dynamical process that happens at a very slow time scale in the network. We will also discuss the importance of our results for network interventions targeted at promoting behavior change or improving organizational performance.
Speaker Bio:
Esteban Moro is an associate professor at Universidad Carlos III de Madrid (Spain) and member of the Joint Institute UC3M-Santander on Big Data and academic director of the Master of Data Science and Big Data on Finance by AFI (Spain). Currently, he is a visiting professor at MIT Media Lab (US). he serves as a consultant for many public and private institutions and has held previously positions in University of Oxford, Institute of Knowledge Engineering (Spain), Instituto Mixto de Ciencias Matemáticas (Spain). Professor Moro earned his BSc in Physics from the University of Salamanca and a Ph.D in physics from Universidad Carlos III de Madrid. He has published over 50 articles and has led and participated in over 20 projects funded by government agencies and/or private companies. His areas of interests are applied mathematics, financial mathematics, viral marketing and social network. He received the "Shared University Award" from IBM in 2007 for modeling the spread of information in social networks and application to viral marketing. And a Research Excellence Award in 2013 and 2015 by the Carlos III University of Madrid. His recent work has been covered by many media outlets, including articles and interviews in newspapers like El Pais, Muy Interesante, The Atlantic, Washington Post, Wall Street Journal.
Live Stream:
Time
Wednesday, October 11, 2017 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - MAY 2026 - Speaker: Xudong Tang, Computer Science and NICO
Northwestern Institute on Complex Systems (NICO)
5:30 PM
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M416, Technological Institute
Details
MAY MEETING: Thursday, May 28, 2026 at 5:30pm (US Central)
LOCATION:
ESAM Conference Room, Tech M416
2145 Sheridan Road, Evanston, IL 60208
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Xudong Tang, PhD Student, Computer Science, NICO, and the Human-AI Collaboration Lab, Northwestern University
TALK TITLE:
Human and Machine Perception of Voice Similarity
ABSTRACT:
Modern voice cloning systems generate synthetic speech that listeners frequently cannot identify as being synthetic. But a voice can sound natural without sounding like the intended person, and what determines whether a clone is heard as a particular person is an open question. Here we report a large-scale preregistered experiment in which we collected 92,239 responses from 175 participants on their perception of pairs of real recordings, voice clones, and continuously morphed voices drawn from 100 contemporary celebrities across 20 speaker groups. We find that voice clones do not reliably preserve perceived speaker identity, reducing same-speaker judgments by 12.7 percentage points even though the clones are produced by a state-of-the-art text-to-speech model, while leaving different-speaker judgments unchanged. Using continuously morphed stimuli, we find that speakers vary substantially in how much variation their perceived identity tolerates, and that this variation is not predicted by speaker demographics. Speaker embeddings account for 58.9\% (95\% CI = [55.7, 61.9]) of variance in identity judgments, which is more than acoustic features, social attributes, and clone status combined. Once all these observed features are accounted for, clone status adds no additional predictive power. These results shows that the perceptual impact of voice cloning is positional rather than categorical: we can model how listeners judge a voice by how close it falls to the perceptual boundary that defines each speaker's recognizable voice, applying the same criterion to real and synthetic speech alike.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
FUTURE DATES:
Data Science Nights will return in September!
Time
Thursday, May 28, 2026 at 5:30 PM - 7:00 PM
Location
M416, Technological Institute Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Spring 2026 Commencement
University Academic Calendar
All Day
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Spring 2026 Commencement
Time
Sunday, June 14, 2026
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Juneteenth - University Closed
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Juneteenth - University Closed
Time
Friday, June 19, 2026
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Independence Day (observed) - University Closed
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Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
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Fall 2026 Classes Begin
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Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
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