The Problems

Not just a means of communication, social media nowadays is a combination of information ranging from textual, graphical, temporal, spatial to social reactions.

In Hong Kong, Instagram ranks third among all social media apps. The hashtag culture in Instagram make it an excellent source to provide insight on the changes over time and space, which can facilitate the context analysis for urban planning.

Why people would like hiking? Where would they go? Let's find the answers from the data.

Project Data

Posts with #hkhiking
collected by web scraping

7k Posts, 18k Likes
in Mar 2022

Why people would like hiking?

Social Network Analysis (SNA)

Construct a social network graph

Detect influential nodes by graph algorithm

Top Influential Hashtags

Sports - #hike, #hikingadventures

Leisure - #discoverhongkong, #香港好去處

Environment - #山野無痕 (Leave no trace),
#自己垃圾自己帶走 (Take Your Litter Home)

Top Emojis

Location - 📍 ⛰ 🇭🇰

Photo - 📸 📷

Emotion - 😂 🤣 ❤ 💕

Weather - ☀️

The citizens pursue healthy lifestyle by hiking and exploring different sceneries ⛰ in Hong Kong with happiness under nice weather ☀️.

Where would people go?

Spatial Analysis

1. Spatial filtering

2. Spatial clustering

3. Ranking by social reactions

1. Spatial filtering

Consider the locations within country park and along hiking trails

2. Spatial clustering

Aggregate the locations nearby,
i.e. within 10m

3. Ranking by social reactions

Rank the locations based on total comments and likes

Data Acquisition

Prepare more Instagram accounts!

Tools: Python

Data Analytics

Data cleansing is always required!

Tools: Python, neo4j

Data Visualization

Virtual tour on 3D Map

Tools: Mapbox, HTML, JS, CSS