Subramanian.Ma

Subramanian.Ma

@Subramanian_ma

Minister for Medical and Family Welfare, Government of TamilNadu.

chennai https://solo.to/xcom Joined 2014-01-20 Date of Analysis: Dec 16, 2025

311,260

Followers

357

Following

6,574

Tweets

515.2

Avg Engagement

205

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Subramanian_ma's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2014-01-20
  • Verification:No
  • Location:chennai

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:414.4
  • Avg Retweets per Tweet:100.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

His tweets receive a high average number of likes and retweets, indicating strong public interaction. The engagement suggests that his content is relevant and resonates with a broad audience.

414.4

Avg Likes/Tweet

100.8

Avg Retweets/Tweet

1,346,789

Total Likes

327,639

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

275

Median Likes

73

Median Retweets

541

75th Percentile

26,399

Top Tweet

1.66

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

98.2%

Original

0.7%

Replies

1.0%

Retweets

0.1%

Quotes

0.0%

Threads

0.0%

With Media

98.0%

With Links

45.4%

With #Tags

18.6%

With @Mentions

0.4%

With Emojis

216

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

0.06

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

70.6%

Weekday Posts

29.4%

Weekend Posts

Top Hashtags

#masubramanian (1417) #tnhealthminister (1260) #dmk4tn (352) #saidapetconstituency (121) #chennaisouthdmk (110) #inspection (80) #mkstalin (77) #megavaccinationdrive (40) #hbdkalaignar99 (40) #primaryhealthcentre (33)

Most Mentioned

@mkstalin (431) @udhaystalin (53) @mansukhmandviya (15) @anbil_mahesh (12) @bapasiofficial (5) @thirumaofficial (4) @pksekarbabu (4) @wohcongress (4) @suba_vee (4) @mvenkaiahnaidu (4)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,193 (98%)
Replies 23 (1%)
Retweets 32 (1%)
Quote Tweets 2 (0%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 32 retweets (1% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

His audience likely includes government officials, healthcare professionals, and citizens interested in public welfare. They are engaged with his tweets, showing interest in policy updates and social issues.

Below Average

Audience Quality

36.5%

Suspicion Index

50.2%

Low-Quality %

4

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

61.1%

Empty Bio

56.0%

<10 Tweets

2.6%

Mass Following (>2K)

0.0%

New (<90 days)

75.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

97.1%

No URL

39.4%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

18,554,342

Total Potential Reach

4

Median Follower Reach

20

75th Percentile Reach

1.0%

>1K followers

0.1%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

19.2%

Creators

9,624 accounts

24.8%

Consumers

12,393 accounts

56.0%

Dormant

27,983 accounts

78

Verified Followers

0.16% of total

3.5%

Professional Bios

founder, dev, analyst, etc.

0.03

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

Chennai, India (1,658) Tamil Nadu, India (827) Chennai (677) India (400) chennai (358) Coimbatore, India (273) Madurai South, India (130) Bengaluru, India (122) Coimbatore (117) Salem, India (94)

125

Verified Followers

0.12% of total

6,664

Protected Accounts

6.6% of total

3 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,102,312 Wrestler Wrestling, Motivation, Self-promotion
@polimernews 1,785,848 News Channel News, Updates, World
@Sibi_Sathyaraj 1,107,840 Actor Movies, Acting, Entertainment
@DinakaranNews 715,864 Journalist News, Tamil, India
@pcsreeram 457,742 Photographer Photography, Director, ISC
@karthickselvaa 391,725 Managing Editor News, Editor, TV
@maalaimalar 359,759 News Outlet News, Tamil, International
@DevprakasMeena 245,449 Lawyer Constitutionalist, Tribal, Personal Views
@dmk_raja 189,719 Politician Politics, Parliament, Communication Technology
@Murugan_MoS 187,823 - -

Top Keywords in Follower Bios

love (1,392) life (1,214) dravidian (1,108) stock (1,100) dmk (1,059) engineer (1,053) social (651) belongs (636) indian (615) live (574)

Top Hashtags in Follower Bios

#தம (92) #த (77) #dmk (73) #ப (49) #dravidianstock (47) #வ (33) #thalapathy (33) #thala (22) #tamilnadu (20) #ந (19)

46,570

Followers With Bio

54,428

Followers Without Bio

46.11%

% With Bio

53.89%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

75,636

Combined Engagement

66,136

Total Likes

9,500

Total Retweets

15,127

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Public Welfare Social Justice Government Policy
Subramanian.Ma
@Subramanian_ma

மதுரவாயல் பகுதியில் அரசு உணவகத்தின் பெயர் பலகையை எடுத்த இரண்டு கழக தோழர்கள் மீது சட்டரீதியான நடவடிக்கை எடுக்கவும், பெயர் பலகையை மீண்டும் அதே இடத்தில் வைக்கவும்,அவ்விருவரை கழகத்திலிருந்து நீக்கவும் வணக்கத்திற்குரிய கழகத்தலைவர் அவர்கள் உடனடியாக உத்தரவிட்டார்... https://t.co/8Fjmb

2021-05-04
Retweets: 5,453 Likes: 20,946 Engagement: 26,399
Subramanian.Ma
@Subramanian_ma

கடந்த 35 ஆண்டுகளாக என் களைப்பை போக்கிய அருமருந்து என் "அன்பு".... https://t.co/Ys1H0vov93

2020-10-19
Retweets: 1,720 Likes: 17,571 Engagement: 19,291
Subramanian.Ma
@Subramanian_ma

"ஏழையின் சிரிப்பில் இறைவனை காண்போம்" https://t.co/XtToyxbKrZ

2021-06-15
Retweets: 1,292 Likes: 11,108 Engagement: 12,400
Subramanian.Ma
@Subramanian_ma

தாத்தாவாகிய நான் 50 வயதுக்கு பிறகு தான் மாரத்தான் போட்டிகளில் பதக்கங்கள் பெறத்தொடங்கினேன்... ஆனால் என் பேரன் இன்பன் 5 வயதாகும் முன்னரே பதக்கம் பெற தொடங்கிவிட்டான்.... https://t.co/m2ThAeV69h

2021-06-30
Retweets: 475 Likes: 8,384 Engagement: 8,859
Subramanian.Ma
@Subramanian_ma

#MKStalinCabinet https://t.co/ng3QOpXFBZ

2021-05-07
Retweets: 560 Likes: 8,127 Engagement: 8,687

Key Insights & Takeaways

His tweets often focus on public welfare and social justice issues, which align with his role as a minister. He uses Twitter to highlight government initiatives and social challenges, which helps in public communication. His content is well-received, indicating a strong connection with his audience and trust in his messaging.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 311,260
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @Subramanian_ma reveals an well-established Twitter presence with 311,260 followers. The account demonstrates a content-creator strategy, averaging 515.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025