“It is fascinating,” Tobias Friedrich of the Cluster of Excellence on “Multimodal Computing and Interaction” says. He points out that so far, it has been assumed that the uncontrolled growth in social networks creates a structure on which information spreads very fast. “But now we can prove it in a mathematical way,” says Friedrich, who leads the independent research group “Random Structures and Algorithms.”
Together with his research colleagues Benjamin Doerr, adjunct professor for algorithms and complexity at Saarland University, and the PhD student Mahmoud Fouz he proved that information spreads in social networks much faster than in networks where everyone communicates with everyone else, or in networks whose structure is totally random.
The scientists explain their results through the successful combination of persons with many contacts and persons with only a few contacts. “A person who keeps only a few connections can inform all of these contacts very fast,” Friedrich says. Additionally, it can be proved that among these few contacts there always is a highly networked person who is contacted by a lot of other people in the social network, the scientist points out. “Therefore everybody in these networks gets informed rapidly.”
To model how people connect with each other in a social network, the scientists chose so-called preferential attachment graphs as a basic network model. It assumes that new members of a social network would more likely connect to a person maintaining many connections than to a person with only a few contacts. The communication within the network is based on the model that every person regularly exchanges all information with his or her contacts, but never speaks to the person contacted in the previous communication round.
It took the scientists twelve pages to write down the mathematical proof. They explain the concept of the proof more simply in the article “Why Rumors Spread Fast in Social Networks,” published in the peer-reviewed magazine “Communications of the ACM” in June.
Computer Science on the Saarland University campus
A unique number of renowned computer science institutes do research on the campus in Saarbrucken, Germany. In addition to the computer science faculty and the Cluster of Excellence, these include the German Research Center for Artificial Intelligence (DFKI), the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the Center for IT Security, Privacy and Accountability and the Intel Visual Computing Institute.See also:
Saar - Uni - Presseteam | Universität des Saarlandes
The plastic brain: Better connectivity of brain regions with training
02.07.2018 | Leibniz-Institut für Wissensmedien
Arguments, Emotions, and News distribution in social media - Leibniz-WissenschaftsCampus Tübingen
04.05.2018 | Leibniz-Institut für Wissensmedien
There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.
The low current is considered one of the biggest hurdles in the development of solid-state batteries. It is the reason why the batteries take a relatively long...
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
21.08.2018 | Ecology, The Environment and Conservation
21.08.2018 | Life Sciences
21.08.2018 | Power and Electrical Engineering