Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Associative Learning

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...

Relationship Formation

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Structural Classification of Joints

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...

Design Example: Alignment of a Road Line Using GIS

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

Robbers Cave

Robbers Cave

During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...

You might also read

Related Articles

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

Sort by

Same author

Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency.

Frontiers in public health·2026

Same author

CDKN1A promotes paclitaxel resistance through mediating formation of polyploid giant cancer cells and enhancing neosis in non-small cell lung cancer.

Translational lung cancer research·2026

Same author

Phased T2T genome of a tetraploid grapevine reveals segmental allopolyploid origin and allele-specific alternative splicing during fruit development.

Plant physiology·2026

Same author

Incidence and risk factors of venous and arterial thromboembolism events in lung cancer patients treated with immune checkpoint inhibitors.

Frontiers in pharmacology·2026

Same author

Oral consultation needs and diagnostic patterns by psychiatric disorder subtype among psychiatric inpatients in a general hospital: a retrospective study.

BMC oral health·2026

Same author

Five-Year Risk Prediction Models for Peripheral Artery Disease in Patients With Chronic Kidney Disease.

Kidney medicine·2026

Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 28, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Multi-level social network alignment via adversarial learning and graphlet modeling.

Jingyuan Duan¹, Zhao Kang¹, Ling Tian²

¹School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, China.

Neural Networks : the Official Journal of the International Neural Network Society

|February 9, 2025

Summary

This summary is machine-generated.

Social network alignment precisely matches users across different platforms by addressing platform differences and complex relationships. The proposed MAGSNA model achieves superior accuracy and robustness in directed and attributed social networks.

Keywords:

Directed networks Graph adversarial networks Graphlet orbit One-to-one alignment User identity linkage

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: May 28, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Computer Science
Data Science
Network Analysis

Background:

Social network alignment is crucial for cross-platform user identification.
Existing methods struggle with directed networks and platform disparities.
Subgraph isomorphism poses challenges in neighborhood analysis.

Purpose of the Study:

To propose a novel method for precise alignment of directed and attributed social networks.
To address platform disparity and subgraph isomorphism challenges.
To enhance subsequent cross-network applications.

Main Methods:

Developed Multi-level Adversarial and Graphlet-based Social Network Alignment (MAGSNA).
Employed individual-level analysis with random walk and adversarial networks for topology and attribute disparity.
Utilized partition-level analysis with graphlet orbits and hubness-aware refinement for discriminative features.

Main Results:

MAGSNA effectively unifies networks and learns discriminative features.
The model alleviates platform disparity and subgraph isomorphism.
Achieved superior performance compared to state-of-the-art methods on real-world and synthetic datasets.

Conclusions:

MAGSNA provides precise and thorough social network alignment.
The method demonstrates competitive efficiency and superior robustness.
Offers a significant advancement for cross-network user identification and applications.