The overall aim of this international conference is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of Web Analytics for business. Proposed papers should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions.  Potential topics of interest are expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topics:


Web data: Integration, Cleaning, Analysis, Visualization, and Security

  • Ethical Issues in the Analysis of Web Data
  • Metadata and ontologies
  • Important approaches to web measurement
  • Information Diffusion on the Web
  • Web search, Web data, Web scraping, and knowledge extraction
  • Visualization of Web Data
  • Web Analytics features, benefits, and limitations
  • Security, Privacy, Regulation Issues, Access Control, Sharing, and Trust of Web data

Web Analytics Activities and Dynamics

  • Web traffic, data collection, and Log Data analysis
  • Applications of Web mining and searching
  • Recommendation Algorithms and Recommender Systems
  • Predictive Analytics over Web Datasets
  • Customer relationship management analytics (CRM Analytics)
  • Web analytics tools (Google Analytics, Google Tag Manager, etc.)
  • Security in Web-based Electronic Commerce (e-cash, Auctions, Cryptocurrencies, etc.)
  • Managing and storing XML data

Social Network Analysis and Graph Algorithms

  • Social Media metrics in Business, Finance, Transportation, Retailing, Telecomm
  • Performance of social media analytics and Web applications
  • Applications of Graph Mining in Economics
  • Social Mining, Social Search, and Social Recommendation Systems
  • Web Text Forms and Social Media Mining
  • Social Reputation and Trust Management
  • Sentiment Analysis and Opinion Mining

Web Analytics, Big Data and the Internet of Things

  • Web analytics in the big data era: Analysis and Modeling of Web Data
  • Internet, quality of services, and Mobile computing
  • Web semantics architectures, applications, and standards
  • Normalization, Clustering, Classification, and Summarization of Web Text
  • Machine Learning and Data Science for the Web Analytics
  • Language and representation issues of Web semantics
  • Internet Economics, Monetization, and Online Markets
  • Web of Things and big data: Applications and Practical Deployments in Industrial, Transportation, Building Automation, Urban Infrastructure, and Health Domains

Business Value Creation from Web and social media analytics

  • Economic Aspects of the Intelligent Web
  • Behavioral Analytics and personalization
  • E-business and Web-commerce: models and architectures
  • The challenges for Web Analytics and social media applications in the business context
  • Key Performance Indicators (KPIs), page Tags and Cookies in Web Analytics
  • Advances in search engine optimization and email marketing analytics
  • Establishment and organization of virtual companies
  • Web and social media Analytics process based on experiences businesses’ best practices