Web and Social Network Analytics

Week 1: Web Analytics

The complete course material, please visit https://web-sna.gauss.world/week1.

Author: Dr. Zexun Chen

Table of Contents

  • Evolution of the Web
    • Web 1.0 - Static Web
    • Web 2.0 - Social Web
    • Web 3.0 - Semantic Web
    • Web 4.0 - The Future
  • Web Analytics Overview
    • Objectives of Web Analytics
    • Tools: Google Analytics, Matomo, etc.
  • Web Tracking
    • Cookies and Privacy
    • Web Logs and their Importance
    • Beacons for Tracking
    • JavaScript in Tracking
    • Packet Sniffing Overview
  • Web Design Basics
    • HTML, CSS, and JavaScript Essentials
  • Web Measurement Tools
    • Clickstream and Metrics
    • Funnel Analysis and User Journey
    • Heatmaps and Eye Tracking

Evolution of the Web

Web 1.0 - Static Web

  • Time: 1990s to early 2000s
  • Characteristics:
    • Static, read-only pages
    • Limited user interaction
    • Basic visuals

Web 2.0 - Social Web

  • Time: 2000s to 2010s
  • Characteristics:
    • Interactive and user-generated content
    • Social media and blogs
    • Privacy and quality concerns

Web 3.0 - Semantic Web

  • Time: 2010s onwards
  • Characteristics:
    • AI-driven, decentralised platforms
    • Cryptocurrencies and NFTs

Web 4.0 - The Future

  • Anticipates hyper-personalised, intelligent web experiences.

Web Analytics Overview

  • Understand website usage through data analysis.
  • Objectives:
    • Measure user behaviour
    • Improve website performance
    • Optimise marketing initiatives

Web Tracking

Cookies

  • Small text files used for:
    • Session management
    • Personalisation
    • User behaviour tracking
  • Types: Session, Persistent, Third-party

Web Logs

  • Automatically recorded server data, useful for:
    • Understanding user behaviour
    • Improving site performance

Beacons

  • Invisible tracking pixels embedded in emails/websites.

JavaScript

  • Tracks user interactions like clicks and form submissions.

Packet Sniffing

  • Monitors network traffic for data analysis.

Web Design Basics

  • HTML: Structure of web pages
  • CSS: Styling of elements
  • JavaScript: Interactivity and tracking

Web Measurement Tools

Clickstream Analysis

  • Tracks user navigation and interaction patterns.

Funnel Analysis

  • Maps user journey to identify drop-off points.

Heatmaps

  • Visualise areas of interest and interaction on a webpage.

Eye Tracking

  • Monitors user gaze patterns for precise usability analysis.
Dr. Zexun Chen
Dr. Zexun Chen
Lecturer/Assistant Professor

Mathematics + Data + Me = Magic