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Shioda Lab
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A lab that uses probabilistic models to understand social media, communication networks, and queues.
AboutAbout the lab
Everyday phenomena, through probabilistic models.
The Shioda Lab studies mathematical models and probabilistic models, and their applications.
The lab uses mathematical models to explain how posts spread on social media and how that relates to human behavior, the performance of communications such as Wi-Fi, and queues.
It also works on position estimation and on building models that predict the onset of delirium in the medical field.
Key terms
- Probabilistic model
- A mathematical model that expresses elements governed by chance as probabilities, used to explain how a phenomenon works
- Queue
- The phenomenon of people or data lining up while waiting for a service. Congestion and waiting times are studied mathematically
- Mathematical model
- A representation in mathematical formulas that extracts only the essential parts of a real-world phenomenon
NewsLab news
View More ↗ResearchResearch themes
The lab mainly studies mathematical models and probabilistic models and their applications. Its themes broadly include the analysis of social media and models of human behavior, performance evaluation of communications, and queueing theory.
*Illustrative imageTwitter Analysis and Models of Human Behavior
The lab analyzes large numbers of tweets and investigates what human behavioral characteristics give rise to their features. It has shown that assuming people choose which tweets to retweet based on retweet counts and "like" counts can explain the imbalance in retweet counts.
*Illustrative imagePerformance Models of Wi-Fi
The lab is pioneering methods that represent the complex operation of Wi-Fi with mathematical models and analyze its basic characteristics. In joint research with Nagoya University and others, it has examined the basic performance of a collision avoidance system in which vehicles and pedestrians notify one another of their positions over Wi-Fi.
*Illustrative imageQueueing Models
The lab studies queues formed by people, and queues formed by data inside communication networks. Examples of themes include queues for library books on loan and queues for taxis that allow ride sharing.
*Illustrative imageProbabilistic Models and Their Applications
The lab explains real-world phenomena with models that take probabilistic factors into account, and considers applications to engineering and sociology. It investigates topics such as how to seat customers in restaurants and consensus building through the exchange of opinions on social media.
MembersFaculty
The members of the Shioda Lab include faculty, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorShigeo Shioda
- Assistant ProfessorYukiho Jitsuishi
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Exam time queue university library Aarhus 02” Ciara Ní Riain / CC BY-SA 4.0 (cropped)
- Twitter Analysis and Models of Human Behavior: “Social Media App Icons On The Screen of A Smartphone” mikemacmarketing / CC BY 2.0 (cropped)
- Performance Models of Wi-Fi: “Outdoors Wireless Access Point” Mbrickn / CC BY 4.0 (cropped)
- Queueing Models: “October 4th Tube Strike -- Taxi Queue ( )” CGP Grey from London, United Kingdom / CC BY 2.0 (cropped)
- Probabilistic Models and Their Applications: “20221128 Gliwice train station checkout queue” Abraham / CC BY-SA 4.0 (cropped)
- Related lab (岸本研究室): “Enigma (crittografia) - Museo scienza e tecnologia Milano” Alessandro Nassiri / CC BY-SA 4.0 (cropped)
- Related lab (小室研究室): “Cell Tower in Stykkishólmur” Kevin Kandlbinder / CC BY 4.0 (cropped)
- Related lab (石山研究室): “NCCS Discover Supercomputer (GSFC )” NASA Goddard Space Flight Center / NASA/GSFC/Bill Hrybyk / Public domain (cropped)
- Related lab (津村研究室): “Rendering techniques example, spectral, photon mapping, POV-Ray” KaiaVintr / CC BY-SA 4.0 (cropped)
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