熊本市長 大西一史

熊本市長 大西一史

@K_Onishi

Kazufumi Onishi, Mayor of Kumamoto, Japan. 全国市長会副会長(防災担当) 九州市長会会長 SNSガイドライン → https://kazufumi.com/page9407/

熊本県熊本市 https://www.kazufumi.com/ Joined 2009-07-15 Date of Analysis: Dec 16, 2025

168,156

Followers

1,396

Following

10,805

Tweets

1,748.6

Avg Engagement

1,109

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @K_Onishi'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:2009-07-15
  • Verification:No
  • Location:熊本県熊本市

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:1,383.6
  • Avg Retweets per Tweet:365.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

His tweets receive high engagement, with an average of 64,903 likes and 15,233 retweets, indicating strong public interest and support. The emotional tone of his posts likely contributes to this level of interaction.

1,383.6

Avg Likes/Tweet

365.0

Avg Retweets/Tweet

4,496,841

Total Likes

1,186,224

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

603

Median Likes

68

Median Retweets

1,661

75th Percentile

164,623

Top Tweet

10.4

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

60.1%

Original

14.0%

Replies

11.0%

Retweets

14.9%

Quotes

0.0%

Threads

0.0%

With Media

65.3%

With Links

6.4%

With #Tags

21.4%

With @Mentions

32.9%

With Emojis

123

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.23

Reply/Original Ratio

1.36

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

69.9%

Weekday Posts

30.1%

Weekend Posts

Top Hashtags

#熊本 (32) #熊本のニュース (26) #熊本日日新聞 (24) #熊日 (24) #熊本市 (12) #選挙とわんこ (9) #nhk熊本 (9) #yahooニュース (8) #熊本newsweb (6) #ロアッソ熊本 (6)

Most Mentioned

@kumamotocity_ (201) @nekotanchan (38) @kumanichis (25) @kumaryokkafair (20) @mizo19701 (18) @nhk_kumamoto (17) @t_kiyoyama (11) @roassoofficial (10) @wni_jp (10) @leola_official (8)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,954 (60%)
Replies 455 (14%)
Retweets 357 (11%)
Quote Tweets 484 (15%)

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 357 retweets (11% 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 followers include residents of Kumamoto and other Japanese citizens interested in local governance and disaster management. The audience also shows interest in personal narratives and community issues.

Average

Audience Quality

22.9%

Suspicion Index

34.8%

Low-Quality %

17

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.7%

Empty Bio

31.6%

<10 Tweets

5.7%

Mass Following (>2K)

0.0%

New (<90 days)

42.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.8%

No URL

23.8%

<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.

16,905,593

Total Potential Reach

17

Median Follower Reach

151

75th Percentile Reach

4.1%

>1K followers

0.3%

>10K followers

0.1%

>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).

51.5%

Creators

25,774 accounts

16.9%

Consumers

8,427 accounts

31.6%

Dormant

15,799 accounts

147

Verified Followers

0.29% of total

0.3%

Professional Bios

founder, dev, analyst, etc.

0.16

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):

日本 (1,301) 日本 熊本 (824) 熊本 (818) Japan (471) Kumamoto-ken, Japan (347) 熊本市 (320) 熊本県 (311) 熊本県熊本市 (152) 九州 (128) 日本 東京 (111)

265

Verified Followers

0.27% of total

24,721

Protected Accounts

24.72% of total

6 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
@kenichiromogi 1,424,673 Neuroscientist neuroscience, author, broadcaster
@tanaka_tatsuya 615,597 Photographer Miniatures, Photography, Creativity
@ochyai 551,977 Media Artist HCI, Fab, XR
@macchi0222 378,465 Real Estate basketball, summer, sea
@nekosanpo_xxxx 353,407 Cat Photographer Cats, Photography, Stray Cats
@AliceProject_mb 346,215 Idol Music, Idol, Performance
@Eguchinn 280,672 Manga Artist comedy, manga, illustration
@miku_monmon3939 268,017 Idol HKT48, Kumamoto, Entertainer
@kharaguchi 267,294 Politician Politics, Legislation, Human Rights
@studiorag 266,000 Music Blogger Music, Instruments, Events

Top Keywords in Follower Bios

twitter (881) kumamoto (588) love (520) dm (499) rt (412) youtube (352) wanima (250) life (234) japan (212) w (209)

Top Hashtags in Follower Bios

#ハ (137) #熊本 (129) #ホ (74) #ト (60) #フ (57) #シ (46) #カ (44) #ヘ (35) #タ (35) #ロアッソ熊本 (32)

56,416

Followers With Bio

43,584

Followers Without Bio

56.42%

% With Bio

43.58%

% 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

646,131

Combined Engagement

394,478

Total Likes

251,653

Total Retweets

129,226

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

20%

With Links

Topical Analysis:

Disaster Preparedness Community Welfare Personal Storytelling
熊本市長 大西一史
@K_Onishi

私の成人の日は浪人中で親に嘘ばかりついてドラム三昧。せめて今年こそ何とか大学に受からねばと少し心を入れ替えていた時期。下宿に帰ると母から「成人おめでとう。今年は頑張って」と電報が届き情けなくて泣いた😭それから34年後市長になり風呂場でこけて骨折して成人式に出られず情けなくて泣いた😭

2022-01-10
Retweets: 22,191 Likes: 142,432 Engagement: 164,623
熊本市長 大西一史
@K_Onishi

RT @ryuichisakamoto: https://t.co/mYLMEN6HrZ

2023-04-02
Retweets: 156,196 Likes: 0 Engagement: 156,196
熊本市長 大西一史
@K_Onishi

本日予定していた動植物園など一部市有施設開園を当面の間延期と判断したのは市長である私です。「開園を楽しみにしていたのに😢我慢しろって」という皆さん。是非私を責めて下さい。さあ、どうぞ! 市長のバカーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーーっ😭

2020-03-20
Retweets: 22,733 Likes: 106,575 Engagement: 129,308
熊本市長 大西一史
@K_Onishi

コロナウイルスに感染した方が勤務した事やお客さんにいた事等を正直に積極的に情報公開した医療機関や福祉施設、企業や店舗ライブハウス等は何の罪も無いどころか、感染拡大を防止し多くの命を守るために大変厳しい中決断されたと思います。風評被害を受けているこうした事業所を是非応援して下さい。

2020-03-05
Retweets: 32,474 Likes: 80,636 Engagement: 113,110
熊本市長 大西一史
@K_Onishi

人類がウイルスに攻撃されて色んな人が参っちゃってるので、こんな時ぐらいヒトがヒトを攻撃するのやめませんか。免疫力落ちるし。こんな時は部屋で好きな音楽聴いたり好きな映画を見たり好きな本を読んだり好きなコントを見たりして免疫力上げ上げで何とか収束するのを待ちましょう。私は鼻うがい👃

2020-03-06
Retweets: 18,059 Likes: 64,835 Engagement: 82,894

Key Insights & Takeaways

Emotional storytelling helps build a personal connection with the audience Focus on disaster preparedness and community welfare is a key theme Engagement is driven by both personal and public content

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 168,156
  • + 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 @K_Onishi reveals an exceptionally influential Twitter presence with 168,156 followers. The account demonstrates a content-creator strategy, averaging 1,748.6 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