I am a Senior Lecturer (similar to associate professor) at Imperial College London. I'm a theoretical physicist interested in complexity and networks.
London
Joined July 2011
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The Connected Past meeting in Heraklion on Crete started with @tombrughmans opening the workshop. Really looking forward to hearing all the ways people use networks in archaeology #connectedpast connectedpast.net
ALT Tom Brughmans opens The Connected Past conference
2-year full-time postdoc in computational humanities and network science au.dk/om/stillinger/job/two-… in Aarhus Denmark on the Past Social Networks project carlsbergfondet.dk/en/Forskn…
@YR_CSS
#SYNS
#css
The non-linear relationship between closeness and degree that works in 70% of sparse networks and what that tells us about networks
go.nature.com/3y5Srz0
doi.org/10.1038/s42005-022-0…
There's life in the old model yet. The longest path in the directed version of the Barabasi-Albert model - the Price model. doi.org/10.1038/s41598-020-6…
Why ordered networks should have communities of disconnected nodes.
doi.org/10.1007/s41109-020-0… Antichains as communities in directed acyclic graphs as the Greek gods show @VVasiliauskaite
Jelena Grujić talking about network analysis of data on early metal working at #NetSci2018
Was Thebes *Really* Necessary? Uncertainty in historical modelling, talk at #eaa2017 on paper doi.org/10.3389/fdigh.2017.0… ed. by @tombrughmans
Steve Borgatti's centrality classes #NetSci2017 - Higher order network effects & broadcast vs. diffusion in my language
Slides on Embedding Graphs in Lorentzian Spacetime doi.org/10.6084/m9.figshare.… my talk at #NetSci2017
paper at arxiv.org/abs/1602.03103
Like work on higher-order network effects, Steve Borgatti highlights different path types when classifying network centrality #NetSci2017
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Into Scholtes says networks not always justified, higher order features often needed. Higher Order Networks satellite @netsci2017
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Donghyeok Choi shows historical database of 115k articles on Korean admin esillok.history.go.kr Quantifying Success satellite @netsci2017
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Lingfei WU shows neat visualisation of effect of 'disruptive' papers in Quantifying Success satellite @netsci2017
Matteo Chinazzi using PACS codes and APS papers to cluster Physics subfields in Quantifying Success satellite @netsci2017
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Michael Kitromilidis shows how painter network shows who really influence later movement @netsci2017 e.g. the knife in a Still Life
