'Resourcefulness: It takes tremendous effort to increase discussion 'Fullness' (~engagement) and CommunityFitness together! Newcomers joining the discussion with @BBBSDaneCounty must find a great appreciation for the community’s goals and accomplishments. Approaching revolutionary levels of CommunityFitness indicates the core community is ready for action, which is exactly what @BBBSDaneCounty does best; keep up the great work!'

Experimental Analysis by ThenAtlas.org

solely for informational purposes – see disclaimer:

Beyond grabbing attention – creating a strong sense of community is truly valuable – but how can this be accomplished? Step 1, measure current community strength – this is our specialty, then Step 2, identify where it comes from – this is where we need your help. The definition of “strength” varies from trust, to enthusiasm and even to love – as community members, you are part of the community, thus you are the experts.

plot of chunk fig3.fitness21
Animation 1. Shows recent change in community metrics. Time goes left to right -> most recent. The CommunityFitness metric shows the level of vibrancy (thick yellow line) with shorter term fluctuations (thin yellow line).

In the animation, CommunityFitness moving up is more vibrant, down is less vibrant eventually bottoming out at: Baseline, where the community lacks observable fabric and interactions are essentially random. Below baseline, in-transition suggests community fabric is changing direction.

Fullness (thick blue line) is the active community size that can move up (larger) or down (smaller) with shorter term fluctuations (thin blue line). This metric is analogous to average rate of engagement.

Change associated with the:
Last 200 (or 50, as noted) tweets are highlighted with arrows and %change labels.

Comparison to other public figures (labels on right side of Animation 1):
A. BBBS (@BBBSA, Tampa, FL) We provide children facing adversity with strong and enduring, professionally supported one-to-one relationships that change their lives for the better, forever
B. Lands' End PR (@LandsEndPR, Dodgeville, Wis.)
C. Aaron Rodgers (@AaronRodgers12, Titletown, USA)
D. UW Health (@uwhealth, Madison, WI) UW Health is the integrated health system of @UWMadison. We serve the health needs of Wisconsin, and beyond.

How to increase Vibrance!?

One central theme that emerges is strong community has appreciation for those who inspire through unique value. @Kohls literally gives away $, @packers try to win, @DaliLama provides deep knowledge, @JohnMcCain shared his spirit, rest in peace. In contrast, news blasts, clickbait and repetitive messaging are associated with reduced vibrance. To figure out what makes a Twitter community vibrant:

  1. Consider how other relevant tweeters (A-D above, if available) create community.
  2. Compare vibrant vs in transition tweets (below) – is there a difference?
  3. Use the Journey Mapping (below) to identify trajectories that need exploration!
  4. Ask us for further consultation admin@thenatlas.org or via the comments section (below).

Individual tweet analysis

While it is impossible to pin CommunityFitness on a single tweet, some tweets seem to have a larger influence than others – thus it can be informative to identify characteristics of tweets associated with change. Note changes in CommunityFitness can also come from external sources (e.g. news coverage), in which case the association with a single tweet is coincidental. Also please note, “in transition” is not “bad” – it can be the start of a vibrant trajectory.

Vibrant example tweets

In-transition example tweets

Are there any characteristics of these tweets that might influence CommunityFitness? Share your insight in the comments, below!

“Order from Chaos” – Journey Mapping

Technically, building CommunityFitness requires a web of interactions covering six primary characteristics: Resistance, Resilience, Revolution, Expansion, Disruption, Contraction. Vibrance is defined as patterns of change within a community’s complex conversational journey through these characteristics. See example tweets and #hashtags as guides for what previously defined each trajectory. The same #hashtag across trajectories indicates changing value through time, or that it is used frequently.

Journey Mapping with Example Tweets & #Hashtags



Revolution trajectory not well represented


plot of chunk journeytweets




Animation 2. Through time, vibrant discussions display a continuum of characteristics: Resilient, Expansion, Revolutionary, Resistant, Contraction, Disturbance. This journey, directed by those who interact with the Tweeter, is highlighted by the purple line. The overall discussion trajectory is labeled with the central arrow. Example #hashtags and tweets associated with each trajectory are provided. Patterns of change in this journey are then translated into the CommunityFitness metric (see Animation 1 above).

How is this possible? About these analyses:

These independent analyses are an offshoot of the global 2018 Twitter Health Metric Proposal process.

The results presented herein were derived from Evidence-based Tradeoff Mapping (ETM), a holistic new framework that uses the balance of competing elements within complex systems to identify patterns of change along a continuum of possible trajectories to quantify CommunityFitness and correlated factors. The ETM framework was derived from research in forest systems (dynamics of ~1 billion trees) and the exact methodology is maintained as a trade secret. Secrecy is needed for the same reason Google’s search algorithm is secret. And like Google, validation is in the results. Let us know what is good (and bad) about these results in the comments below.

Why? From the founder:

There is no more simple yet beautifully powerful medium of global conversation than Twitter: humanity in a sentence or two, iterated a half-billion times per day. But is humanity coming closer together or splitting apart? Why? Who will win?

It is within our reach to answer very very big questions about life. We are starting at the level of a Tweeter’s community and if successful, we will be scaling up!

Please note ThenAtlas.org has no financial affiliation with Twitter Inc., we simply want to make the world a more understood place.

-TD Andrews, PhD

If these analyses have any value to you – please let us know in the comments as well as though support: ThenAtlas.org/support

Request a Twitter community analysis:


All content on this site is for informational purposes only. Analyzing tweets is a common practice described here. However, if you feel we have violated ownership rights or misrepresented your associated Twitter community, please let us know immediately: admin@thenatlas.org.
Please see the full disclaimer at: ThenAtlas.org/terms-conditions

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