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Modeling Wikipedia admin elections using multidimensional behavioral social networks
The growth of service and the service of growth: Using system dynamics to understand service quality and capital allocation
Entanglements of participation, gender, power and knowledge in IT design
Abstract -Social media applications such as WhatsApp, Facebook, Instagram, Twitter, etc., are widely used among society; each application has its own uses, differences and market share. According to official Jordanian statistics, WhatsApp is considered to be the most commonly used social media application by Jordanian people for creating, sharing and exchanging information. In this paper, we present a comprehensive preliminary study for the implementation of a national platform that contains information about Obsessive-Compulsive Disorder (OCD) in Jordan using the WhatsApp to collect the information. This project will be a pilot study using a cross-sectional design to determine the potential of the proposed platform in usability and effectiveness as a prototype system. Moreover, it will be the first mental health application that addresses the needs of the Arabic culture and region. The project will be implemented in two phases: the first phase, which includes the design of the OCDquestionnaire and the collection of data using the WhatsApp application, the collected data will be stored to a database which is going to be the first OCD database of its kind. The second phase of the project involves the design of a mobile application that can help to diagnose cases and provide medical advice to help alleviate the symptoms of the OCD. The publicity of using WhatsApp application will help in covering different geographical areas and reaching a variety of people with maintaining their confidentiality
Proposal and Development of Artificial Personality with Requesting Mechanism
Itinerary Recommendation for User Groups in Temporary Social Network
Cybersecurity Threat Intelligence Augmentation and Embedding Improvement - A Healthcare Usecase
Case Study: Crowdsourcing for e-Governance
Going offline: An exploratory cultural artifact analysis of an internet dating site's development trajectories
Factors Influencing AI Implementation Decision in Indian Healthcare Industry: A Qualitative Inquiry
Information Seeking Practices of Parents: Exploring Skills, Face Threats and Social Networks
Interactions with Potential Mis/Disinformation URLs Among U.S. Users on Facebook, 2017-2019
PREP: Predicting Job Runtime with Job Running Path on Supercomputers
Community-based delurking in social networks
Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics
A novel visual analytics approach for clustering large-scale social data
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Multimodal Approach for Emotion Recognition Using an Algebraic Representation of Emotional States
Identifying Traffic Event Types from Twitter by Multi-Label Classification
Supermajority sentiment detection with external influence in large social networks
Blind Spots: Unveiling users' true willingness in online social networks
Exploring social activeness and dynamic interest in community-based recommender system
Privacy-Preserving Interest-Ability Based Task Allocation in Crowdsourcing
18115_Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic.
Towards the use of genetic programming in the ecological modelling of mosquito population dynamics
Political corruption and the congestion of controllability in social networks
Predicting Next Location of Twitter Users for Surveillance
SPECIAL SECTION ON CLOUD-BASED ROBOTIC SYSTEMS FOR INTELLIGENT SERVICES
An analysis of the relationship between immediate response syndrome and the Big Five Personality Scale using structural equation models: A Japanese case study
A Self-administered Healthcare Warning Mechanism Based on Internet of Things