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Open-Source Technologies Realizing Social Networks: A Multiple Descriptive Case-Study
Fine-Grained Identification with Real-Time Fairness in Mobile Social Networks
5832_Application of Distributed Wireless Chloride Sensors to Environmental Monitoring Initial Results.
Persuasion driven influence analysis in online social networks
5834_A Cloud-Based Trust Evaluation Scheme Using a Vehicular Social Network Environment.
Market-Based Incentive Mechanism Design for Crowdsourcing
Modeling Human Behavior on Social Media in Response to Significant Events
Muti-stage learning for gender and age prediction
Location Based Robust Audio Watermarking Algorithm for Social TV System
Pixel-Oriented Visualization of Change in Social Networks
Readability Assessment of Policies and Procedures of Social Networking Sites
Toward constructing evidence-based legal arguments using legal decision documents and machine learning
Social Networking
Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis
Understanding Network Characteristics of Spam Users in Social Media
5845_International workshop on socially-aware multimedia (SAM'12).
SCOPE: A prototype for spontaneous P2P social networking
Vectorial Bent Functions From Multiple Terms Trace Functions
Document Model with Attention Bidirectional Recurrent Network for Gender Identification
Contextual Feature Analysis to Improve Link Prediction for Location Based Social Networks
Word embedding analysis on colonial history, present issues, and optimism toward the future in Senegal
Abstract -Considering that the economic indicators have a great impact on electricity consumption, social sensors are used to capture massive social signals and intelligent sensors are used to collect electricity data based on the cyber-physical-social system(CPSS) theoretical framework. In this paper, an economic-power cyber-physical-social system is built to integrate the data from different spaces. In cyberspace, the data will be fused, normalized before training, then a deep belief network(DBN) model is established to perform data mining and realize mid-long term electricity consumption forecasting. In the DBN training process, economic-power data from 31 provinces are used. DBN can achieve feature extraction automatically without variable selection steps and can achieve higher forecasting accuracy than traditional methods. The application of CPSS in electricity consumption forecasting has expanded the data border of physical power system researches and can provide a reference for subsequent multi-space data modeling
Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources
Social Network Analysis of Mobile Streaming Networks
Location-based crowdsourcing: extending crowdsourcing to the real world
Distributing privacy policies over multimedia content across multiple online social networks
rLinktopic: a probabilistic model for discovering regional linktopic communities
Crowdsourcing techniques to create a fuzzy subset of SNOMED CT for semantic tagging of medical documents
Mining Frequency of Drug Side Effects over a Large Twitter Dataset Using Apache Spark
Computing Education for Intercultural Learning: Lessons from the Nairobi Play Project