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Followers
306
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Rob Noble
📊 Post engagement
3
Avg engagement / post
1%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: Academics often lament that hardly any master’s projects get pub · 8 likes + reposts
📊 Activity & format
Posting cadence
0.36 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.9×
Follows 323 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
Credit is due to my former PhD student Ves Manojlović (now a postdoc in Cambridge), long-time collaborator Yannick Viossat, and extraordinarily talented undergraduate Armaan Ahmed. If you're looking for a PhD student in math bio then you w…
Our preprint concludes: "our results strengthen the case for J1 as the most useful cross-disciplinary index of tree balance and provide a firm foundation for using J1 instead of conventional indices to compare and categorize empirical tree…
Is it odd that caterpillar trees do not always minimize J1? We argue not as there is no prior “correct” answer as to whether a given non-bifurcating broom tree is more or less balanced than the caterpillar with the same number of leaves. O…
Counterintuitively, the proportional size of the "head" of the least balanced broom approaches 1 as the leaf count goes to infinity. Yet the difference in J1 values between the minimally balanced broom and the caterpillar is always small a…
But if we permit higher outdegrees then the caterpillar is no longer optimal. Instead we show that, when the leaf count exceeds 4, the least balanced tree belongs to a class we call brooms, in which every internal node except the most dist…
We focus on leafy trees with equally sized leaves. These can be interpreted as cladograms in which leaves represent extant types and internal nodes are extinct common ancestors. If we further require that all internal nodes have outdegree …
Second, we want to know which trees are considered the least balanced, according to J1. Since J1 accounts for node sizes, any non-linear tree, regardless of topology, can be made arbitrarily unbalanced (J1→0) by adjusting its relative node…
First, we want to be able to compare empirical trees to null models: Are the observed trees more or less balanced than a model predicts? Hence in the preprint we derive highly accurate approximations to the expected values of J1 under the …
So we were scooped by 50 years! But, whereas computer scientists regarded J1 merely as an accessory to defining weight-balanced trees, we contend it's useful in its own right as the best way to quantify tree balance. To support adoption of…
When we defined J1 in 2022, I was surprised nobody had this idea before. Turns out soneone had! As we describe in the preprint, Jürg Nievergelt and colleagues used the same concept in 1972 when introducing the weight-balanced tree - a data…
To calculate J1, we first assign each internal node a balance score, which is the normalized Shannon entropy of the sizes of the subtrees that descend from the node. J1 is a weighted average of these node balance scores (see https://academ…
🐘 Community & instance
Home server
ecoevo.social
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 0.4× per week.
🕵️ Fake follower check
Estimated75/100
Good
Credibility score
92%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 92% real, active audience · Low fake-follower risk.
- Engagement (~1.0% of followers engage each post) is around typical for Mastodon.
- Verified account.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Senior Lecturer (≡ associate professor) in applied mathematics at City St George's, University of London, investigating the evolution and ecology of cancer. Dad of two small kids.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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