AIMC Topic: Social Networking

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Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market.

Computational intelligence and neuroscience
Accurate box office forecasting models are developed by considering competition and word-of-mouth (WOM) effects in addition to screening-related information. Nationality, genre, ratings, and distributors of motion pictures running concurrently with t...

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

Journal of medical Internet research
BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts...

Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns.

Neural networks : the official journal of the International Neural Network Society
The interaction of social networks with the external environment gives rise to non-stationary activity patterns reflecting the temporal structure and strength of exogenous influences that drive social dynamical processes far from an equilibrium state...

An unsupervised machine learning model for discovering latent infectious diseases using social media data.

Journal of biomedical informatics
INTRODUCTION: The authors of this work propose an unsupervised machine learning model that has the ability to identify real-world latent infectious diseases by mining social media data. In this study, a latent infectious disease is defined as a commu...

Scotland's knowledge network: a progress report on Knowledge into Action.

Scottish medical journal
Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge ...

Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.

BioMed research international
MicroRNAs constitute an important class of noncoding, single-stranded, ~22 nucleotide long RNA molecules encoded by endogenous genes. They play an important role in regulating gene transcription and the regulation of normal development. MicroRNAs can...

Policy forum. Data, privacy, and the greater good.

Science (New York, N.Y.)
Large-scale aggregate analyses of anonymized data can yield valuable results and insights that address public health challenges and provide new avenues for scientific discovery. These methods can extend our knowledge and provide new tools for enhanci...

Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks.

Neural networks : the official journal of the International Neural Network Society
Nowadays social media is the primary platform for people to obtain news and share information. Combating online fake news has become an urgent task to reduce the damage it causes to society. Existing methods typically improve their fake news detectio...

Deciphering Key Features of Social Resilience Versus Social Vulnerability in Later Life: A Biopsychosocial Model of Social Asymmetry.

The journals of gerontology. Series B, Psychological sciences and social sciences
OBJECTIVES: Confronted with shrinking social networks, older adults exhibit individual differences in social adaptability, reflected as socially resilient versus socially vulnerable. The purpose of this study was to examine key features that reflect ...

Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
INTRODUCTION: Instagram is a popular social networking platform for sharing photos with a large proportion of youth and young adult users. We aim to identify key features in anti-vaping Instagram image posts associated with high social media user eng...