Speaker:

Maksim Kitsak, Assistant Professor, Electrical Engineering, Mathematics and Computer Science, Delft University of Technology

Title:

Geometric Representations of Complementarity-Driven Networks

Abstract:

Similarity is one of the key principles underlying the formation of social networks: the more similar individuals are the higher is the chance

for a social interaction between them. Latent geometry provides an elegant way to model similarity in social networks. Network nodes are viewed as points in underlying latent or hidden space, such that distances between them quantify node similarities: the smaller the distance between the two nodes the more similar they are. It is the similarity interpretation of latent distances that lies at the origin of many applications of network embeddings, including link prediction, soft community detection and clustering, network navigation, and search.

In my talk, however, I will focus on another class of networks that are shaped not only by similarity but also by the complementarity principle. Examples of complementarity-driven networks include interdisciplinary collaboration networks, networks of interacting proteins, and, possibly, food webs.

Indeed, individuals with complementary expertise are more likely to solve an interdisciplinary problem of interest, and interactions often take place between proteins with complementary chemical properties and/or complementary binding interfaces. One of the most popular food web network models, the niche model, is based not on the similarity but on the complementarity principle, as I will demonstrate.

In my talk I will argue that existing network embedding methods are not readily applicable to complementarity-driven networks. I will then deduce a proper framework for the representations of complementarity-driven networks and demonstrate its efficiency in network reconstruction tasks.

Speaker Bio:

Maksim Kitsak is an assistant professor in the faculty of Electrical Engineering, Mathematics and Computer Science at the Delft University of Technology. Dr. Kitsak earned his Ph.D. in theoretical physics from Boston University. Dr. Kitsak has held postdoctoral positions at the Center for Applied Internet Data Analysis (CAIDA), UC San Diego; and the Center for Complex Network Research (CCNR), Northeastern University. His research focuses on the development of theoretical and computational approaches to networked systems, with diverse applications ranging from systems biology to civil infrastructure. Results of his research have been published in top cross-disciplinary journals, such as Nature, Nature Physics, Science, and Science Advances, and have received broad media coverage.

Webinar:

Webinar link: https://northwestern.zoom.us/j/91064172482
Passcode: nico
ID: 910 6417 2482

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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NOVEMBER MEETING: Wednesday, January 27, 2021 at 5:30pm (Central) via Zoom and Gather

DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!

AGENDA:

TBA

SPEAKER: Bryan Pardo, Associate Professor, McCormick School of Engineering, Northwestern University

TOPIC: New directions in deep audio source separation: training without ground truth and automatic model selection

For more info: data-science-nights.org

Supporting Groups:

This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.

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Speaker:

Irena Vodenska, Associate Professor in Finance, Director, Finance Programs, Metropolitan College, Boston University

Title:

TBA

Abstract:

TBA

Speaker Bio:

Irena Vodenska is associate professor of finance and director of finance programs at Boston University’s Metropolitan College. Her research focuses on network theory and complexity science in macroeconomics. She conducts theoretical and applied interdisciplinary research using quantitative approaches for modeling interdependences of financial networks, banking system dynamics, and global financial crises. She holds a PhD in econophysics (statistical finance) from Boston University, an MBA from Owen Graduate School of Management at Vanderbilt University, and a BS in computer information systems from the University of Belgrade.

Webinar:

Webinar link: https://northwestern.zoom.us/j/94202105939
Passcode: nico
ID: 942 0210 5939

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Tina Eliassi-Rad, Professor, Khoury College of Computer Sciences, Northeastern University

Title:

TBA

Abstract:

TBA

Speaker Bio:

Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern's Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awardees); and has given over 200 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, and ethics in machine learning. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project).

Webinar:

Webinar link: https://northwestern.zoom.us/j/95878198317
Passcode: nico
ID: 958 7819 8317

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Noah Askin, Assistant Professor of Organisational Behaviour, INSEAD

Title:

TBA

Abstract:

TBA

Speaker Bio:

Noah Askin is an Assistant Professor of Organisational Behaviour at INSEAD in Fontainebleau. His research interests include social and cultural networks, the drivers and consequences of creativity and innovation (particularly in the music industry), the production and consumption of culture, and the dynamics of organisational and individual status. His work, which has garnered recognition on the Thinkers 50 Radar list, has appeared in Administrative Science Quarterly, American Sociological Review, computational social science publications, and been covered in the press by Rolling Stone, Forbes, Business Insider, Quartz.com, The Times of London, M Magazine, the New York Post, and music industry blogs.

Webinar:

Webinar link: https://northwestern.zoom.us/j/96945660289
Passcode: nico
ID: 969 4566 0289

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Susanna Manrubia, Associate Professor, Spanish National Centre for Biotechnology (CSIC)

Title:

TBA

Abstract:

TBA

Speaker Bio:

Susanna Manrubia is an Associate Professor at the Spanish National Centre for Biotechnology (CSIC), in Madrid. She belongs to the Systems Biology Program, where she leads the Group of Evolutionary Systems. Her group maintains close collaborations with experimentalists and focuses on developing theoretical and computational descriptions of biological, mainly evolutionary phenomena. Professor Manrubia is also interested in cultural patterns and collective social behaviour.

Webinar:

Webinar link: https://northwestern.zoom.us/j/96887739805
Passcode: nico
ID: 968 8773 9805

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

Related Info

NOVEMBER MEETING: Monday, February 23, 2021 at 5:30pm (Central) via Zoom and Gather

DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!

AGENDA:

TBA

SPEAKER: Aviv Landau, Postdoctoral research scientist, Data Science Institute, Columbia University

TOPIC: TBA

For more info: data-science-nights.org

Supporting Groups:

This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.

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Speaker:

Lorien Jasny, Lecturer in Political and Environmental Network Analysis, University of Exeter

Title:

TBA

Abstract:

TBA

Speaker Bio:

Lorien Jasny is a computational social scientist focusing on questions of public involvement in environmental decision making. Her research agenda focuses on two related themes – how the structure and dynamics of inter-organizational networks affect policy change, and how the structure and dynamics of belief networks affect behavioral change. Substantively, I study how people try to bring about societal change in response to political and environmental concerns. Methodologically, the need to grapple with these often complex phenomena requires the use and development of techniques for handling large, dynamic, and relational data sets.

Webinar:

Webinar link: https://northwestern.zoom.us/j/93434519191
Passcode: nico
ID: 934 3451 9191

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Description:

NICO is hosting a lightning talk seminar each term as a part of our Wednesdays@NICO seminar series. Northwestern graduate students and postdoctoral fellows are invited to participate. To sign up for future lightning talks, please visit: https://bit.ly/2lRqSXK

Webinar:

Webinar link: https://northwestern.zoom.us/j/96018513447
Passcode: nico
ID: 960 1851 3447

Speakers:

TBA

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

Related Info

NOVEMBER MEETING: Monday, March 22, 2021 at 5:30pm (Central) via Zoom and Gather

DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!

AGENDA:

TBA

SPEAKER: Matt Satusky, Postdoctoral Fellow, Renaissance Computing Institute, University of North Carolina at Chapel Hill

TOPIC: TBA

For more info: data-science-nights.org

Supporting Groups:

This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.

Related Info