Complexity

Social Big Data: Mining, Applications, and Beyond


Publishing date
01 May 2018
Status
Published
Submission deadline
29 Dec 2017

Lead Editor

1RMIT University, Melbourne, Australia

2Beijing Institute of Technology, Beijing, China

3Nanyang Technological University, Singapore

4University of Trieste, Trieste, Italy


Social Big Data: Mining, Applications, and Beyond

Description

The social nature of Web 2.0 leads to the unprecedented growth of social media sites such as discussion forums, product review sites, microblogging, social networking, and social curation. Existing research in social media data mining has focused on techniques for extracting information for specific applications from separate social media sources.

The mobile network and the Internet of Things are transforming what it means to be social online. Humans, everyday objects, and smart devices interact and form an intelligent social network that is a highly adaptive complex system. Assisted by personal devices, people can access real-time traffic, weather, and news event information and exchange such information through social interaction and form communities dynamically. The rich user- and device-generated data and user interactions generate complex social big data that is different from classical structured attribute-value data. The data objects take various forms including unstructured text, geotagged data objects, and data object streams. The social networks formed from interactions among data objects also carry rich information for analyzing user behavior. Such complex social big data calls for cross disciplinary research from data mining, machine learning, pervasive and ubiquitous computing, network science, and computational social science.

We seek contributions to advance our knowledge in social big data mining and analytics and extend the knowledge to related disciplines. We especially welcome high original research articles as well as review articles including methodological papers that address the data complexity and application papers that promote wider and deeper applications of social media data.

Potential topics include but are not limited to the following:

  • Personal device and content integrated social data mining
  • Mining dynamic complex social networks of humans and devices
  • Mining heterogeneous streams of social media data objects from humans and devices
  • Spatiotemporal analysis of social data and social networks
  • Privacy preserving social data mining
  • Social influence and community discovery in dynamic social networks
  • Social data mining for community-based recommendation and other applications
  • Trust and information credibility analysis of social media data
  • Mining for user social influence and communities in complex social networks of humans and devices
  • Mining social data for smart cities and smart nations
  • Humans as sensors for event detection and disaster management
  • Sentiment analysis and opinion mining for social good
  • Detection of opinion spam, illicit behavior, and anomalies in social media
  • Social media data mining for public health and healthcare

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 2059075
  • - Editorial

Social Big Data: Mining, Applications, and Beyond

Xiuzhen Zhang | Shuliang Wang | ... | Alfredo Cuzzocrea
  • Special Issue
  • - Volume 2018
  • - Article ID 8604132
  • - Research Article

A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential

Hanning Yuan | Yanni Han | ... | Wei An
  • Special Issue
  • - Volume 2018
  • - Article ID 7371209
  • - Research Article

Behavior-Interior-Aware User Preference Analysis Based on Social Networks

Can Wang | Tao Bo | ... | Min Shu
  • Special Issue
  • - Volume 2018
  • - Article ID 6157249
  • - Research Article

Supervised Learning for Suicidal Ideation Detection in Online User Content

Shaoxiong Ji | Celina Ping Yu | ... | Guodong Long
  • Special Issue
  • - Volume 2018
  • - Article ID 9571848
  • - Research Article

Weibo Attention and Stock Market Performance: Some Empirical Evidence

Minghua Dong | Xiong Xiong | ... | Dehua Shen
  • Special Issue
  • - Volume 2018
  • - Article ID 3412070
  • - Research Article

A Trip Purpose-Based Data-Driven Alighting Station Choice Model Using Transit Smart Card Data

Kai Lu | Alireza Khani | Baoming Han
  • Special Issue
  • - Volume 2018
  • - Article ID 1084795
  • - Research Article

A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks

Vanja Smailovic | Vedran Podobnik | Ignac Lovrek
  • Special Issue
  • - Volume 2018
  • - Article ID 7698274
  • - Research Article

Self-Adaptive -Means Based on a Covering Algorithm

Yiwen Zhang | Yuanyuan Zhou | ... | Yun Yang
  • Special Issue
  • - Volume 2018
  • - Article ID 7963210
  • - Research Article

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation

Wei Jiang | Qian Lv | ... | Jie Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 4697485
  • - Research Article

AIRank: Author Impact Ranking through Positions in Collaboration Networks

Jun Zhang | Yan Hu | ... | Feng Xia
Complexity
 Journal metrics
Acceptance rate39%
Submission to final decision69 days
Acceptance to publication51 days
CiteScore2.690
Impact Factor2.591
 Submit
 Author guidelines  Editorial board  Databases and indexing
 Sign up for content alertsSign up

Publishing Collaboration

More info
Wiley-Hindawi

You are browsing a BETA version of Hindawi.com. Click here to switch back to the original design.