Temporal Networks: The Dynamics of Social Contagion
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Temporal Networks: The Dynamics of Social Contagion

8/12/2019 to 8/14/2019
When: August 12th - 14th
Where: Discover Partners Institute
200 S. Wacker Drive
Chicago, Illinois  60606
United States

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Who Should Attend
The target audience for the course Temporal Networks: The Mathematics of Social Contagion includes corporate executives, organizational consultants, marketing professionals, social media app developers, emergency managers, and public health professionals.

Course Description
Information is shared among members of a group according to established patterns of social organization. In the form of knowledge or positive behaviors, such sharing may build equity, enhance access, and overcome obstacles to innovation and discovery. In the form of infection or negative behaviors, such sharing may expose the group to collective malfunction and disaster. Workplaces, family units, and industry networks are examples of human groups where understanding the nature of information transmission is vital to ensuring harmony and function.

The course Temporal Networks: The Mathematics of Social Contagion explores mathematical models of social organization inspired by the dynamics of insect societies, and the ways in which information transmission produces observed behaviors. Emphasis is on transmission over time, ordered by a sequence of interactions between individual members of the society.

The course aims to build working familiarity with the terminology and tools used by engineers and scientists to characterize such temporal networks. This is accomplished through hands-on learning experiences built around the computational analysis of publicly-available network data sets from research on human and insect societies, highlighting similarities and differences. Participants’ engagement with models of human group dynamics further explore principles of self-organization and its possible outcomes.

Learning Outcomes
The course Temporal Networks: The Mathematics of Social Contagion, aims to enable participants to
Recognize properties of information transmission in social networks and give examples of beneficial and detrimental behaviors that may result from such transmission.

Understand how to use computer simulations to explore datasets of time-dependent interactions in social organizations.
Evaluate designs for collection of time-dependent interaction data in terms of temporal and behavioral resolution.

Computer and/or Software Requirements
Participants should bring a laptop computer.

Monday & Tuesday 8:30-4:30; Wednesday 8:30-3:30

Learn more & register here!

Get in touch

20 N. Wacker Drive, Suite 1200
Chicago, IL 60606

PH: 1.312.435.2805

Email: collaborate@illinoistech.org