Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Social Proof00:52

Social Proof

29.5K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
29.5K
Introducing Social Perception01:29

Introducing Social Perception

67
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
67
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

10.0K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
10.0K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

1.0K
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
1.0K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

38
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
38
Qualitative Analysis01:10

Qualitative Analysis

835
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
835

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biodegradable Core-Shell Magnetic Microrobots With High Cell Capacity for Precise Co-Delivery of Stem Cells and Bioactive Molecules.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

BiasField: Interactive Bias Probing of Machine Learning Datasets.

IEEE transactions on visualization and computer graphics·2026
Same author

SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data.

IEEE transactions on visualization and computer graphics·2025
Same author

Causality-based Visual Analytics of Sentiment Contagion in Social Media Topics.

IEEE transactions on visualization and computer graphics·2025
Same author

EmbryoProfiler: A Visual Clinical Decision Support System for IVF.

IEEE transactions on visualization and computer graphics·2025
Same author

OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration.

IEEE transactions on visualization and computer graphics·2025
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Oct 18, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K

Real-Time Visual Analysis of High-Volume Social Media Posts.

Johannes Knittel, Steffen Koch, Tan Tang

    IEEE Transactions on Visualization and Computer Graphics
    |September 29, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a real-time visual analytics system for analyzing streaming social media data. Its dynamic clustering algorithm efficiently processes large data volumes, offering timely insights for various professionals.

    More Related Videos

    Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
    10:45

    Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

    Published on: July 6, 2011

    11.8K
    High Throughput Analysis of Liquid Droplet Impacts
    09:00

    High Throughput Analysis of Liquid Droplet Impacts

    Published on: March 6, 2020

    6.6K

    Related Experiment Videos

    Last Updated: Oct 18, 2025

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
    08:53

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

    Published on: May 31, 2019

    5.3K
    Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
    10:45

    Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

    Published on: July 6, 2011

    11.8K
    High Throughput Analysis of Liquid Droplet Impacts
    09:00

    High Throughput Analysis of Liquid Droplet Impacts

    Published on: March 6, 2020

    6.6K

    Area of Science:

    • Computer Science
    • Data Science
    • Information Visualization

    Background:

    • Social media platforms are primary sources for breaking news and real-time information.
    • Analyzing high-volume, diverse social media streams presents significant challenges for timely insight extraction.

    Purpose of the Study:

    • To develop an interactive system for large-scale, real-time visual analysis of streaming social media data.
    • To enable timely insights for journalists, politicians, business analysts, and first responders.

    Main Methods:

    • An efficient and explainable dynamic clustering algorithm for real-time thematic landscape visualization.
    • A parallel clustering strategy for adaptive streaming of digestible and diverse post selections.
    • Integration of interlinked visual metaphors for explorative and focused monitoring tasks.

    Main Results:

    • A continuously updated visualization of the social media thematic landscape.
    • Detailed visual summaries of specific topics of interest.
    • The system supports gradual resolution increase for in-depth topic exploration and works with non-geolocated posts.

    Conclusions:

    • The developed system provides a powerful tool for real-time analysis of streaming social media data.
    • The dynamic clustering algorithm and visualization techniques offer efficient and explainable insights.
    • The system demonstrates utility across various use cases, enhancing data analysis capabilities.