🏷️ Core Themes Analysis

Quantitative analysis of writing themes, topic relationships, and interest patterns. Data-driven insights into content focus and thematic evolution over time.

240
Unique Topics
🎯 Areas of Interest
6
Life Areas
🌍 Life Dimensions
20
Topic Connections
πŸ”— Interest Networks
249%
Core Focus
⭐ Primary Interests

πŸ“ˆ Top Topics Frequency Over Time

Quarterly frequency of top 5 topics. Formula: frequency(tag, quarter) = count(posts in quarter where tag ∈ post.tags)

Top 5 Topics Frequency Per Quarter

Calculating data...

πŸ“Š Topic Growth Rates

Topics with highest growth rates. Formula: growth_rate = ((recent_count - early_count) / early_count) Γ— 100

Top 10 Growing Topics

Calculating data...

πŸ“Š Topic Distribution Analysis

#1
High Significance
Your core interests are deeply personal
50 writings about "consciousness"
Statistical observation: 50 writings about "consciousness"
#2
High Significance
You explore diverse life areas
6 different life areas represented
Statistical observation: 6 different life areas represented
#3
Medium Significance
Your interests have strong connections
20 strong topic relationships
Statistical observation: 20 strong topic relationships
#4
High Significance
You focus on what matters most
249% of writings in top 5 topics
Statistical observation: 249% of writings in top 5 topics

πŸ“Š Most Frequent Topics

Topics ranked by frequency. Formula: frequency(tag) = count(posts where tag ∈ post.tags) / total_posts

πŸ₯‡
consciousness
Transcendence β€’ Weight: 10
50
63% of writings
πŸ₯ˆ
personal-growth
Self-Actualization β€’ Weight: 10
48
61% of writings
πŸ₯‰
healing
Transcendence β€’ Weight: 10
41
52% of writings
#4
self-reflection
Self-Actualization β€’ Weight: 9
36
46% of writings
#5
mental-health
Safety & Security β€’ Weight: 10
22
28% of writings
#6
emotional-regulation
Safety & Security β€’ Weight: 7
21
27% of writings
#7
authenticity
Self-Actualization β€’ Weight: 9
21
27% of writings
#8
transformation
Self-Actualization β€’ Weight: 9
21
27% of writings
#9
therapy
Safety & Security β€’ Weight: 9
18
23% of writings
#10
mindfulness
Transcendence β€’ Weight: 7
17
22% of writings

πŸ“Š Topic Clusters

Grouped topics by semantic similarity. Clusters determined by tag co-occurrence patterns.

🌱
Personal Growth
7 topics β€’ 197 writings
consciousness
50
personal-growth
48
healing
41
transformation
21
mindfulness
17
self-improvement
16
learning
4
πŸ’»
Technical & Creative
3 topics β€’ 18 writings
technology
14
development
3
creativity
1
πŸ’œ
Life & Relationships
4 topics β€’ 41 writings
parenting
15
family
15
relationships
6
love
5
πŸ€”
Philosophy & Reflection
4 topics β€’ 75 writings
consciousness
50
metaspace
15
philosophy
9
reflection
1

πŸ“Š Maslow Hierarchy Distribution

Content distribution across Maslow's hierarchy categories. Formula: category_percentage = (posts_in_category / total_posts) Γ— 100

🍽️
Physiological Needs
Basic survival needs for food, health, and physical well-being
8
10% of writings
πŸ›‘οΈ
Safety & Security
Protection, stability, and creating safe environments
44
56% of writings
πŸ’
Love & Belonging
Relationships, family, and social connections
39
49% of writings
πŸ†
Esteem & Achievement
Confidence, mastery, and recognition
25
32% of writings
🌱
Self-Actualization
Personal growth, creativity, and fulfilling potential
71
90% of writings
✨
Transcendence
Spiritual growth, helping others, and meaning beyond self
61
77% of writings

πŸ”— Topic Co-occurrence Analysis

Tag pairs that frequently appear together. Strength formula: strength = co_occurrence_count / min(frequency(tag1), frequency(tag2))

#1
astro ↔ typescript
Strength: 100%
2
co-occurrences
#2
astro ↔ web-development
Strength: 100%
2
co-occurrences
#3
astro ↔ craftsmanship
Strength: 100%
2
co-occurrences
#4
astro ↔ creativity
Strength: 100%
1
co-occurrences
#5
astro ↔ open-source
Strength: 100%
1
co-occurrences
#6
astro ↔ coding
Strength: 100%
1
co-occurrences
#7
astro ↔ personal-projects
Strength: 100%
1
co-occurrences
#8
astro ↔ digital-art
Strength: 100%
1
co-occurrences
#9
typescript ↔ astro
Strength: 100%
2
co-occurrences
#10
typescript ↔ web-development
Strength: 100%
2
co-occurrences

πŸ“Š Core Themes Formulas

🏷️ Topic Analysis

Topic Frequency: Posts per tag / Total posts

Top Topic Concentration: Most frequent tag / Total posts Γ— 100

Topic Diversity: Number of unique tags used

Topic Balance: Stable areas / Total areas Γ— 100

πŸ“ˆ Topic Trends

Growth Areas: Topics with increasing post frequency

Declining Areas: Topics with decreasing post frequency

Stable Areas: Topics with consistent post frequency

Trend Distribution: Growing/Declining/Stable topic counts

πŸ”— Topic Relationships

Co-occurrence Strength: Shared posts / Total posts with either tag

Relationship Percentage: Co-occurrence count / Total posts Γ— 100

Topic Clusters: Groups of frequently co-occurring tags

Cross-pollination: Tags that appear together across different posts

🎯 Life Areas Focus

Maslow Distribution: Posts per life area / Total posts Γ— 100

Area Concentration: Most focused life area percentage

Balance Score: Evenness of distribution across life areas

Growth Trajectory: Life area focus trends over time

🏷️ Core Themes Summary

❌ Challenge area: Content Quality Variance (100 occurrences, high impact)
ℹ️ Sentiment distribution: 28% positive, 19% negative, 34% neutral
ℹ️ Topic trends: 0 growing, 0 declining, 6 stable
ℹ️ Posting regularity: 67/100 (higher = more consistent)
ℹ️ Topic consistency: 63/100 (higher = more focused)
ℹ️ Quality variance: 100/100 (lower = more consistent quality)
ℹ️ Top topic concentration: 63% on "consciousness"
ℹ️ Improvement needed: Monthly Posting Rate (3.2/4, 21% gap)
ℹ️ Improvement needed: Average Post Length (1372/800, 0% gap)
ℹ️ Improvement needed: Topic Diversity (240/15, 0% gap)
ℹ️ Improvement needed: Balanced Sentiment (34/40, 15% gap)
ℹ️ Topic stability: 100% of areas are stable

Analysis identifies 1 significant challenges. 7 objective metrics provide baseline data.