国立国会図書館レファ協公式

国立国会図書館レファ協公式

@crd_tweet

『レファレンス協同データベース事業』の公式アカウントです。イメージキャラクター「れはっち」が、事業に参加する全国の図書館に寄せられた質問の記録など、調べものに役立つ情報を紹介します。運用方針はこちら→https://t.co/PNIdFcpJL2…

京都府相楽郡精華町 https://crd.ndl.go.jp/ Joined 2010-04-15 Date of Analysis: Dec 16, 2025

61,451

Followers

22,480

Following

50,510

Tweets

30.7

Avg Engagement

1,551

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @crd_tweet'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: Mid-Tier (10K+)
  • Account Age:2010-04-15
  • Verification:No
  • Location:京都府相楽郡精華町

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:21.1
  • Avg Retweets per Tweet:9.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

The account maintains a steady average of likes and retweets, indicating consistent user interaction. The top tweets often address emotional or academic inquiries, which likely contribute to higher engagement.

21.1

Avg Likes/Tweet

9.6

Avg Retweets/Tweet

68,725

Total Likes

31,052

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

4

Median Retweets

28

75th Percentile

4,487

Top Tweet

0.5

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

91.5%

Original

7.8%

Replies

0.0%

Retweets

0.7%

Quotes

0.0%

Threads

0.0%

With Media

97.8%

With Links

1.2%

With #Tags

0.1%

With @Mentions

0.1%

With Emojis

86

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.09

Reply/Original Ratio

0

Quote/RT Ratio

Posting Rhythm

Consistent

Regular posting cadence

100.0%

Weekday Posts

0.0%

Weekend Posts

Top Hashtags

#レファ協の夏休み (28) #crdf18 (10)

Most Mentioned

@toyota_am (3) @printingmuseumt (3) @jcalibrary (2)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,973 (91%)
Replies 254 (8%)
Retweets 0 (0%)
Quote Tweets 23 (1%)

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.

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 10,000 followers

The primary audience includes students, educators, and library staff interested in research and information retrieval. The content is tailored to those seeking academic or cultural knowledge.

Good

Audience Quality

17.3%

Suspicion Index

19.3%

Low-Quality %

51

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

26.6%

Empty Bio

16.6%

<10 Tweets

9.0%

Mass Following (>2K)

0.0%

New (<90 days)

40.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

82.1%

No URL

12.1%

<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.

3,580,424

Total Potential Reach

51

Median Follower Reach

217

75th Percentile Reach

5.7%

>1K followers

0.4%

>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).

71.1%

Creators

7,110 accounts

12.3%

Consumers

1,231 accounts

16.6%

Dormant

1,659 accounts

55

Verified Followers

0.55% of total

0.6%

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 (239) Japan (107) 東京 (90) 東京都 (67) 日本 東京 (57) Tokyo (54) 大阪 (29) Tokyo-to, Japan (24) Tokyo, Japan (20) 関東 (14)

55

Verified Followers

0.55% of total

2,781

Protected Accounts

27.81% of total

7 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
@ZimuinG 166,653 Pianist piano, cooking, writing
@uguisujyo_KCCo 60,940 Voice Actress MC, Voice Professional, Talk Magic
@yoruageha 60,152 Fashion Designer Fashion Design, Parenting, Politics
@natsukashi__ 53,730 Nostalgia Blogger Showa era, Heisei era, 80s nostalgia
@mainichi_shakai 43,543 Journalist News, Society, Events
@oxomckoe 38,753 - -
@tkq12 37,356 - -
@KUJIRABA 36,547 - -
@sim_kyrm 36,464 - -
@keiphotostudio 34,457 - -

Top Keywords in Follower Bios

twitter (105) rt (86) dm (62) rom (61) love (42) note (39) b (37) web (36) fgo (31) youtube (24)

Top Hashtags in Follower Bios

#読書 (9) #図書館 (5) #映画 (5) #写真 (5) #ハ (5) #数学 (4) #キ (4) #カ (4) #肉球新党 (4) #フ (4)

7,347

Followers With Bio

2,653

Followers Without Bio

73.47%

% With Bio

26.53%

% 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

9,414

Combined Engagement

6,365

Total Likes

3,049

Total Retweets

1,883

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Education Research Libraries Cultural Knowledge Emotional Support Academic Inquiry
国立国会図書館レファ協公式
@crd_tweet

失恋しました…、心が癒される本を貸してほしい。(高2 男子)(東京学芸大学学校図書館運営専門委員会) https://t.co/GnIjlr2aQb

2022-08-29
Retweets: 1,315 Likes: 3,172 Engagement: 4,487
国立国会図書館レファ協公式
@crd_tweet

親が子どもに、「お前は橋の下で拾った子どもだ」「川で拾ってきた」と言うことがあるが、橋の下や川が民俗学的にどういう意味を持つのか、また、そのような場所から子どもを拾うことの民俗学的な意味を知りたい。(埼玉県立久喜図書館) https://t.co/1z7HiPw08Y

2022-09-30
Retweets: 882 Likes: 1,470 Engagement: 2,352
国立国会図書館レファ協公式
@crd_tweet

「世界線」という言葉の語源は何か。なぜ使われるようになったのか。(京都府立高等学校図書館協議会司書部会) https://t.co/pIJZl5MAI2

2023-05-09
Retweets: 420 Likes: 735 Engagement: 1,155
国立国会図書館レファ協公式
@crd_tweet

テレビ番組「サザエさん」で、カツオが小説を読んでいるシーンがありました。かっこよくて憧れましたので自分にあった小説を紹介してください。(3年生児童)(京都女子大学附属小学校図書館) https://t.co/o2okZnTEnH

2023-01-30
Retweets: 187 Likes: 530 Engagement: 717
国立国会図書館レファ協公式
@crd_tweet

利用者(小1男子)から「だじゃれ」の本を借りたいと言われたが、借りて行ったのは『かいけつゾロリのおやじギャグ&amp;なぞなぞ大じてん』『かいけつゾロリのまいにちおやじギャグ1年分』だった。「だじゃれ」と「おやじギャグ」は同じものなのか。(蒲郡市立図書館) https://t.co/Sia6ITbpwM

2023-04-17
Retweets: 245 Likes: 458 Engagement: 703

Key Insights & Takeaways

The account uses a mascot character to make content more relatable and engaging. It addresses a wide range of topics, from emotional support to academic and cultural inquiries. User-submitted questions highlight the practical and educational value of the service.

Strengths

  • + Established follower base of 61,451
  • + 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 @crd_tweet reveals an growing Twitter presence with 61,451 followers. The account demonstrates a content-creator strategy, averaging 30.7 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