Building Profiles of Blog Users Based on Comment Graph Analysis: The Habrahabr.ru Case

2015 ◽  
pp. 257-262
Author(s):  
Alexandra Barysheva ◽  
Mikhail Petrov ◽  
Rostislav Yavorskiy
Keyword(s):  
Graph Analysis

Signal-flow graph analysis of SC networks

1984 ◽  
Vol 131 (2) ◽  
pp. 72 ◽  
Author(s):  
G.S. Moschytz ◽  
U.W. Brugger
Keyword(s):  
Graph Analysis ◽  
Signal Flow Graph ◽  
Flow Graph ◽  
Signal Flow

Penggunaan Social Stories untuk Menurunkan Perilaku Nonadaptif Saat Berada dalam Kendaraan Bagi Autisme Dewasa

2020 ◽  
Vol 1 (2) ◽  
pp. 103
Author(s):  
Markus Nanang Irawan ◽  
Sri Widyawati
Keyword(s):  
Social Interaction ◽  
Behavior Problems ◽  
Adaptive Behavior ◽  
Behavioral Problems ◽  
Research Method ◽  
Social Stories ◽  
Steering Wheel ◽  
Graph Analysis ◽  
Adult Autism ◽  
The Individual

<pre><span>Individuals autism often have non-adaptive behavioral problems because of their barriers in communication and social interaction. The problem of non-adaptive behavior is often a nuisance to others because its appearance is not appropriate and not in accordance with the environment, age, and expectations of responsibility. One case of non-adaptive behavior that arises is the behavior while in a vehicle where the individual shows the behavior of singing loudly, knocking windows, pinching the driver, even holding the steering wheel. Based on these problems, this study aims to reduce non-adaptive behavior while in a vehicle. Participant is an adult autism. The research method is experiment by giving Social Stories to participants before riding the vehicle then recording to the possibility appearance of non adaptive behavior. The results of graph analysis showed a decrease in non adaptive behavior of adult autism adults while in a vehicle. This study became one of the important studies because it tries to understand the dynamics of behavior problems of individual autisme in adulthood.<strong></strong></span></pre><pre><span> </span></pre>

Fast Planning Through Planning Graph Analysis.

1995 ◽  
Author(s):  
Avrim L. Blum ◽  
Merrick L. Furst
Keyword(s):  
Graph Analysis ◽  
Planning Graph

What´s driving dermatology: Contribution title analysis of the largest German Dermatology Congress 2019 (Preprint)

2020 ◽  
Author(s):  
Robert Kaczmarczyk ◽  
Felix Bauerdorf ◽  
Alexander Zink
Keyword(s):  
Network Analysis ◽  
Annual Meeting ◽  
Research Network ◽  
Graph Analysis ◽  
Network Graph ◽  
Research Topics ◽  
German Speaking ◽  
Specialist Groups ◽  
Community Meeting ◽  
High Diversity

BACKGROUND Every two years, German-speaking dermatologic specialist groups gather in Berlin to share the latest developments at Germany´s largest dermatologic conference, the Annual Meeting of the Germany Society of Dermatology (DDG). Because this conference has a lasting effect on dermatologic practice and research, understanding what is moving the specialist groups means understanding what is driving dermatology in Germany. OBJECTIVE The objective of the article is to introduce the medical scientific community to a data visualization method, which will help understand more sophisticated data analysis and processing approaches in the future. METHODS We used word network analysis to compile and visualize the information embedded in the contribution titles to the DDG Annual Meeting in 2019. We extracted words, contributing cities and inter-connections. The data was standardized, visualized using network graphs and analyzed using common network analysis parameters. RESULTS A total of 5509 words were extracted from 1150 contribution titles. The most frequently used words were “therapy”, “patients”, and “psoriasis”. The highest number of contributions came from Hamburg, Berlin and Munich. High diversity in research topics was found, as well as a well-connected research network. CONCLUSIONS Focus of the well-connected German-speaking dermatology community meeting 2019 was patient and therapy centered and lies especially on the diseases psoriasis and melanoma. Network graph analysis can provide helpful insights and help planning future congresses. It can facilitate the choice which contributors to include as imbalances become apparent. Moreover, it can help distributing the topics more evenly across the whole dermatologic spectrum.

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information

2021 ◽  
Author(s):  
Taisei Hirakawa ◽  
Keisuke Maeda ◽  
Takahiro Ogawa ◽  
Satoshi Asamizu ◽  
Miki Haseyama
Keyword(s):  
Visual Information ◽  
Graph Analysis ◽  
Cross Domain

Visibility Graph Analysis of Particle Size Distribution During Flocculation for Water Treatment

2021 ◽  
Vol 232 (3) ◽  
Author(s):  
Kamila Jessie Sammarro Silva ◽  
Larissa Lopes Lima ◽  
Gustavo Santos Nunes ◽  
Lyda Patricia Sabogal-Paz
Keyword(s):  
Particle Size ◽  
Water Treatment ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Visibility Graph ◽  
Graph Analysis ◽  
Visibility Graph Analysis

scholarly journals Graph analysis of proton conduction pathways in scandium-doped barium zirconate

2021 ◽  
Vol 154 (7) ◽  
pp. 074711
Author(s):  
Maria A. Gomez ◽  
Sophia Brooks-Randall ◽  
Gianna Cai ◽  
Juniper Glass-Klaiber ◽  
Yuxin Jiang ◽  
...  
Keyword(s):  
Proton Conduction ◽  
Barium Zirconate ◽  
Graph Analysis

scholarly journals Functional network topology of the right insula affects emotion dysregulation in hyperactive-impulsive attention-deficit/hyperactivity disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tammo Viering ◽  
Pieter J. Hoekstra ◽  
Alexandra Philipsen ◽  
Jilly Naaijen ◽  
Andrea Dietrich ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Network Topology ◽  
Resting State ◽  
Latent Variable ◽  
Emotion Dysregulation ◽  
Adult Adhd ◽  
Brain Regions ◽  
Graph Analysis ◽  
Hyperactivity Disorder ◽  
The Right

AbstractEmotion dysregulation is common in attention-deficit/hyperactivity disorder (ADHD). It is highly prevalent in young adult ADHD and related to reduced well-being and social impairments. Neuroimaging studies reported neural activity changes in ADHD in brain regions associated with emotion processing and regulation. It is however unknown whether deficits in emotion regulation relate to changes in functional brain network topology in these regions. We used a combination of graph analysis and structural equation modelling (SEM) to analyze resting-state functional connectivity in 147 well-characterized young adults with ADHD and age-matched healthy controls from the NeuroIMAGE database. Emotion dysregulation was gauged with four scales obtained from questionnaires and operationalized through a latent variable derived from SEM. Graph analysis was applied to resting-state data and network topology measures were entered into SEM models to identify brain regions whose local network integration and connectedness differed between subjects and was associated with emotion dysregulation. The latent variable of emotion dysregulation was characterized by scales gauging emotional distress, emotional symptoms, conduct symptoms, and emotional lability. In individuals with ADHD characterized by prominent hyperactivity-impulsivity, the latent emotion dysregulation variable was related to an increased clustering and local efficiency of the right insula. Thus, in the presence of hyperactivity-impulsivity, clustered network formation of the right insula may underpin emotion dysregulation in young adult ADHD.

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