Cybersecurity @ NIST
Official handle covering all things cybersecurity at NIST
68,995
Followers
542
Following
7,636
Tweets
10.1
Avg Engagement
1,523
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NISTcyber'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:2012-05-03
- Verification:No
- Location:Gaithersburg, MD
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:4.2
- Avg Retweets per Tweet:5.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,248 tweetsThe account has an average of 59 likes and 39 retweets per tweet, indicating moderate engagement. The content is often shared and liked, suggesting relevance to its audience.
4.2
Avg Likes/Tweet
5.9
Avg Retweets/Tweet
13,530
Total Likes
19,293
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
4
Median Retweets
12
75th Percentile
335
Top Tweet
0.15
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
47.5%
Original
1.8%
Replies
47.0%
Retweets
3.7%
Quotes
0.0%
Threads
0.1%
With Media
95.6%
With Links
81.2%
With #Tags
79.2%
With @Mentions
16.2%
With Emojis
225
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.6%
Weekday Posts
2.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,248 tweetsContent Type Distribution
Content Breakdown
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 1,528 retweets (47% 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 3,248 tweetsEngagement 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 10,999 followersThe primary audience includes cybersecurity professionals, policymakers, and organizations interested in cybersecurity standards. Followers are likely looking for updates on NIST guidelines and frameworks.
Average
Audience Quality
31.3%
Suspicion Index
42.9%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.3%
Empty Bio
45.5%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
34.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
16,578,789
Total Potential Reach
11
Median Follower Reach
56
75th Percentile Reach
3.0%
>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).
32.1%
Creators
3,529 accounts
22.4%
Consumers
2,460 accounts
45.5%
Dormant
5,010 accounts
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):
185
Verified Followers
1.68% of total
1,502
Protected Accounts
13.66% of total
5 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 | 14,075,862 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stealthmole_int | 125,907 | - | - |
| @HeatherNauert | 98,550 | Diplomat | Foreign policy, Diplomacy, Media |
| @ForcepointSec | 69,757 | Cybersecurity | cybersecurity, people's intent, critical data |
| @kelly2277 | 61,276 | Venture Capitalist | Venture Capital, Research, Support |
| @ASCETweets | 58,751 | Civil Engineer | Engineering, Infrastructure, Legislation |
| @VickerySec | 53,500 | Cybersecurity | Data breaches, InfoSec, Cybersecurity |
| @tarah | 50,141 | - | - |
| @MikeElgan | 43,797 | Tech Journalist | tech, food, travel |
| @KoddosServices | 36,143 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,360
Followers With Bio
5,639
Followers Without Bio
48.73%
% With Bio
51.27%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed946
Combined Engagement
157
Total Likes
789
Total Retweets
189
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @NIST: As we prepare for the possible assault of a future quantum computer, NIST has chosen the first group of tools for our post-quantum cryptographic standard: 🔒 CRYSTALS-Kyber 🔒 CRYSTALS-Dilithium 🔒 FALCON 🔒 Sphincs+ Learn more: https://t.co/9dXynKmZLO https://t.co/jn44H2
RT @AdCouncil: If you’re a job seeker or a career changer, building new skills can help you #FindSomethingNew. Our newest campaign helps Americans of all ages and backgrounds explore their education and training paths at https://t.co/hcAUnedKgE https://t.co/4EBvqiDywn
RT @StaySafeOnline: It's officially National Cybersecurity Awareness Month! Follow along the #BeCyberSmart conversations this October and get tips and advice for protecting your identity, accounts, data and more. #CyberAware → https://t.co/fqPP1JZrUt https://t.co/wTXAdZKxfl
HOT OFF THE PRESS: We’ve just released Version 1.0 of the voluntary @NIST #Privacy Framework! Check it out and consider adopting today. https://t.co/dinB3kuoG0 https://t.co/9oY7E7k5ax
Breaking news: @NIST unveiled a historic update to its #security and privacy controls catalog that will provide a solid foundation for protecting organizations and systems—including the personal privacy of individuals. Read more on the blog: https://t.co/nzvdWphRLu
Key Insights & Takeaways
The account frequently shares major updates on NIST frameworks, which highlights its role in disseminating critical cybersecurity information. It uses links to direct followers to detailed resources, indicating a focus on providing actionable information. The content is often timely and highlights new releases, showing a commitment to keeping the audience informed.
Strengths
- + Established follower base of 68,995
- + 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 @NISTcyber reveals an growing Twitter presence with 68,995 followers. The account demonstrates a content-creator strategy, averaging 10.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access