AIMC Topic: Social Networking

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Targeted Bipartite Consensus of Opinion Dynamics in Social Networks With Credibility Intervals.

IEEE transactions on cybernetics Jan 11, 2022
This article investigates the targeted bipartite consensus problem of opinion dynamics in cooperative-antagonistic networks. Each agent in the network is assigned with a convergence set to represent a credibility interval, in which its opinion is tru...
Neural Networks, Computer Consensus Social Networking
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Cross-Modal Sentiment Sensing with Visual-Augmented Representation and Diverse Decision Fusion.

Sensors (Basel, Switzerland) Dec 23, 2021
The rising use of online media has changed the social customs of the public. Users have become accustomed to sharing daily experiences and publishing personal opinions on social networks. Social data carrying emotion and attitude has provided signifi...
Machine Learning Semantics Attitude Social Networking Sentiment Analysis
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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
Big Data Cities Computational Biology Spatio-Temporal Analysis China Social Networking Seasons Decision Trees Data Mining Machine Learning Social Media Travel Geographic Information Systems Humans
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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Databases, Factual SARS-CoV-2 Deep Learning Computational Biology Disinformation Neural Networks, Computer COVID-19 Algorithms Natural Language Processing Humans Bayes Theorem Logistic Models Social Networking Models, Statistical Decision Trees Support Vector Machine Social Media
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EC-BED-NETS: A Novel Deep Learning Framework for Recognizing Dominant Nodes in Multifaceted and Social Networks.

Big data Sep 9, 2021
Identification of influential nodes in multifaceted and social networks become one of the most significant researches in this booming digital world. Many strategies were proposed to determine the dominance of nodes based on their topographical inform...
Deep Learning Social Networking
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Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing.

Yearbook of medical informatics Sep 3, 2021
OBJECTIVES: To analyze the content of publications within the medical NLP domain in 2020.
Mental Disorders Natural Language Processing Medical Records Clinical Trials as Topic Social Networking Humans COVID-19
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KG2Vec: A node2vec-based vectorization model for knowledge graph.

PloS one Mar 30, 2021
Since the word2vec model was proposed, many researchers have vectorized the data in the research field based on it. In the field of social network, the Node2Vec model improved on the basis of word2vec can vectorize nodes and edges in social networks,...
Computer Graphics Social Networking Information Services Data Accuracy Semantics Pattern Recognition, Automated Humans Deep Learning Databases, Factual Models, Theoretical
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Traffic accident detection and condition analysis based on social networking data.

Accident; analysis and prevention Jan 15, 2021
Accurate detection of traffic accidents as well as condition analysis are essential to effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be obtained using an advanced data classification model with a rich ...
Accidents, Traffic Social Networking Machine Learning Algorithms Humans Neural Networks, Computer
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Insights into mobile health application market via a content analysis of marketplace data with machine learning.

PloS one Jan 6, 2021
BACKGROUND: Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come.
Machine Learning Privacy Telemedicine Consumer Behavior Feedback Mobile Applications Marketing Knowledge Social Networking
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Human Sentiment and Activity Recognition in Disaster Situations Using Social Media Images Based on Deep Learning.

Sensors (Basel, Switzerland) Dec 11, 2020
A rapidly increasing growth of social networks and the propensity of users to communicate their physical activities, thoughts, expressions, and viewpoints in text, visual, and audio material have opened up new possibilities and opportunities in senti...
Disasters Social Media Social Networking Humans Human Activities Deep Learning Crowdsourcing
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