Global patterns of synchronization in human communications

by Alfredo J. Morales, Vaibhav Vavilala, Rosa M. Benito, Yaneer Bar-Yam

Social media are transforming global communication and coordination and provide unprecedented opportunities for studying socio-technical domains. Here we study global dynamical patterns of communication on Twitter across many scales. Underlying the observed patterns is both the diurnal rotation of the Earth, day and night, and the synchrony required for contingency of actions between individuals. We find that urban areas show a cyclic contraction and expansion that resembles heartbeats linked to social rather than natural cycles. Different urban areas have characteristic signatures of daily collective activities. We show that the differences detected are consistent with a new emergent global synchrony that couples behaviour in distant regions across the world. Although local synchrony is the major force that shapes the collective behaviour in cities, a larger-scale synchronization is beginning to occur.

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Snap: Rewriting ‘Art of War’ for social networking — by not documenting anything

Social networks may be the most valuable and durable types of businesses powered by “network effects,” the phenomenon of products or services becoming more powerful the more people use them.

The social-networking companies in our recently launched Network Effect Index — a group of current and formerly public consumer-Web companies valued at $1 billion or more — outperformed the S&P by over 170 percent in the last five years, the most of any business category in the index.

This is one reason the imminent IPO of social/mobile app Snap, which thrives on network effects, is being so closely watched. Another is that Snap — the parent of the ragingly popular Snapchat service, and a company expected to be valued at roughly $20 billion at its offering — represents the first credible threat to the Facebook social-networking colossus. Interestingly, Snap has grown by following a path very different than Facebook’s — so much so that we believe Snap ultimately could be valued less like a traditional social network and more like a hardware-software company, like Apple, or a media business, like Comcast.

Read the full article here.

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SONIC presented at the Northwestern MTS and TSB graduate recruitment event

SONIC is always committed to attracting great people to work with us. These weeks are busy with graduate recruitment events, as the applicants for the next academic year are making the final decisions about where to pursue their graduate studies. We presented four posters in the Frances Searle Building at the School of Communication recruitment showcase for the Media, Technology, and Society (MTS) and the Technology and Social Behavior (TSB) Ph.D. programs. SONIC exhibited four projects: Network Cognition; Text Analytics for Evaluated Shared Cognition; on finding a Dream Team; and using simulations to explore team composition and functioning. Our ATLAS collaborators displayed three posters on their projects exploring leadership, team cognition, and multi-team systems.

 

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Mathematical Model Reveals the Patterns of How Innovations Arise

The work could lead to a new approach to the study of what is possible, and how it follows from what already exists.

Innovation is one of the driving forces in our world. The constant creation of new ideas and their transformation into technologies and products forms a powerful cornerstone for 21st century society. Indeed, many universities and institutes, along with regions such as Silicon Valley, cultivate this process.

And yet the process of innovation is something of a mystery. A wide range of researchers have studied it, ranging from economists and anthropologists to evolutionary biologists and engineers. Their goal is to understand how innovation happens and the factors that drive it so that they can optimize conditions for future innovation.

This approach has had limited success, however. The rate at which innovations appear and disappear has been carefully measured. It follows a set of well-characterized patterns that scientists observe in many different circumstances. And yet, nobody has been able to explain how this pattern arises or why it governs innovation.

Read the complete article here.

You can see the published paper here.

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Noshir Contractor presented at the Prevention Science Methodology Group (PSMG)

On February 21, 2017, Noshir presented on “Testing Multitheoretical, Multilevel Hypotheses about Networks” at the Prevention Science Methodology Group (PSMG) – a weekly “virtual” grand rounds presentations that take place via recorded conference calls, accompanied by slides. These talks are organized by the Center for Prevention Implementation Methodology (Ce-PIM), at the Feinberg school of medicine, Northwestern University.

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Research networks ‘more important’ for female scientists

Study finds a stronger correlation for women between success and being central to a network

Being well connected is more important for women who want to get ahead in science than men, a study suggests.

By analyzing how patterns of research collaboration relate to scientific outcomes, US statisticians found that highly cited female scientists at top US universities tended to be very prominent within their research networks.

However, the same was not true for highly cited male scientists, who are generally less central to the larger academic networks they participated in, according to the paper by Charisse Madlock-Brown, from the University of Tennessee Health Science Center, and David Eichmann, from the University of Iowa. The article, “The Scientometrics of Successful Women in Science”, was published recently online by the Institute of Electrical and Electronics Engineers.

Read the full article here.

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An Ivy League professor says there are only three types of friendships we make

Friendship isn’t always as serendipitous as it might feel. Are you a “tight-knitter”, a “compartmentalizer,” or a “sampler”? According to Dartmouth sociology professor Janice McCabe, whose study of the effects of social connections on academic performance was published this month in the journal Contexts, when forming new friendships, people tend to follow one of these three patterns. McCabe used mathematical models to examine the friendship structures of 67 students on a Midwestern college campus, aiming to figure out how those structures influenced success in the classroom.

Read the full article here.

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SONIC and ATLAS members attended the 2017 NASA Investigators’ Workshop in Galveston, TX

SONIC and ATLAS members: eight graduate students, one undergraduate researcher, and two post-doctoral researchers attended the NASA Human Research Program Investigators’ Workshop in Galveston, TX from January 23rd – January 26th.

 

Our team, together with our collaborators at DePaul, was showcasing eleven posters and presenting on three panels.

You can see the seven SONIC and ATLAS posters here:

Gabe Plummer: The Costs of Switching Between Team and Multiteam Tasks and The Role of Shared Cognition

Brennan Antone: Faulty Analysis: Analyzing Different Faultline Measurement Algorithms for Long-Duration Space Exploration

Zach Gibson: Building Extreme Teams: Simulating team Composition Effects in Isolated and Confined Environments

Patrick Park: Understanding Elective Task Switching

Ashley Niler:  Impact of Social Connectedness, Communication Delay, and Sleep Deprivation on Cognitive Network Similarity in Analog Teams

Ilya Gokhman: Leadership Networks in Space Crews

Igor Zakhlebin: Influence of Interpersonal Perceptions on Team Structure in Long-Duration Space Exploration Missions

 

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SONIC PhD candidate Aaron Schecter and Noshir Contractor presented at the Network Science of Squads Workshop

On Sunday, December 4th, a SONIC PhD candidate Aaron Schecter and Professor Noshir Contractor presented at a workshop titled “The Network Science of Squads“, held in Denton, TX on December 3rd – 5th.

An illustration of the relational event model to analyze group interaction processes

Abstract

A fundamental assumption in the study of groups is that they are constituted by various interaction processes that are critical to survival, success, and failure. However, there are few methods available sophisticated enough to empirically analyze group interaction. To address this issue, we present an illustration of relational event modeling (REM). A relational event is a “discrete event generated by a social actor and directed toward one or more targets.” Because REM provides a procedure for modeling relational event histories, it has the ability figure out which patterns of group interaction are more or less common than others. For instance, do past patterns of interaction influence future interactions, (e.g., reciprocity), do individual attributes make it more likely that individuals will create interactions (e.g., homophily), and do specific contextual factors influence interaction patterns (e.g., a complexity of a task)? The current presentation provides an REM tutorial from a multi-team system experiment in which two teams navigated a terrain to coordinate their movement to arrive a common destination point. We use REM to model the dominant patterns of interactions, which included the principle of inertia (i.e., past contacts tended to be future contacts) and trust (i.e., group members interacted with members they trusted more) in the current example.

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