« GraphXR: Read, Modify, and Write Ontologies with RedisGraph »
GraphXR, from software consultancy Kineviz, has integrated RedisGraph so you can visually edit graphs. Watch a demo of GraphXR reading, modifying, and writing ontologies visually with RedisGraph.
« What is a Personal Knowledge Graph — with Ruben Verborgh » The Graph Show, Josh Shinavier, 15.01.2021 (vidéo 34 min.)
« Josh Shinavier interviews Ruben Verborgh, Professor of Decentralized Information at Ghent University. They discuss personal knowledge graphs, personal data vaults, RDF, and the Solid Project. »
« This Overlooked Variable Is the Key to the Pandemic — It’s not R. » by Zeynep Tufekci, 30.09.2020
« In an overdispersed regime, identifying transmission events (someone infected someone else) is more important than identifying infected individuals.
» […] If we can use retrospective contact tracing to find the person who infected our patient, and then trace the forward contacts of the infecting person, we are generally going to find a lot more cases compared with forward-tracing contacts of the infected patient, which will merely identify potential exposures, many of which will not happen anyway, because most transmission chains die out on their own. »
» […] Indeed, as Kucharski and his co-authors show mathematically, overdispersion means that “forward tracing alone can, on average, identify at most the mean number of secondary infections (i.e. R)”; in contrast, “backward tracing increases this maximum number of traceable individuals by a factor of 2-3, as index cases are more likely to come from clusters than a case is to generate a cluster.” »
» […] Even in an overdispersed pandemic, it’s not pointless to do forward tracing to be able to warn and test people, if there are extra resources and testing capacity. But it doesn’t make sense to do forward tracing while not devoting enough resources to backward tracing and finding clusters, which cause so much damage. »
» […] Oshitani said he believes that “the chain of transmission cannot be sustained without a chain of clusters or a megacluster.” Japan thus carried out a cluster-busting approach, including undertaking aggressive backward tracing to uncover clusters. Japan also focused on ventilation, counseling its population to avoid places where the three C’s come together—crowds in closed spaces in close contact, especially if there’s talking or singing—bringing together the science of overdispersion with the recognition of airborne aerosol transmission, as well as presymptomatic and asymptomatic transmission. »
How to use the Jaccard Similarity Algorithm to compute recipe to recipe similarities, and more. Part 4 of the BBC Good Food Series.
Pourquoi une discrète évolution de Facebook va perturber les enquêtes policières
Petit à petit, toutes les raisons de rester sur #facebook disparaissent. Avec l’arrêt de #GraphSearch ce ne sont pas seulement les flics qui sont gênés, d’autant que Zuckerberg leur fournira sûrement l’outil à prix d’or, mais toutes les personnes qui enquêtent et font des croisements de sources, comme quand un ministre veut faire croire à une attaque contre un hôpital...
Graphs in CS and its traversal #algorithms
The vast majority of algorithms of interest operate on data. Therefore, there are particular ways of organizing data that play a critical role in the design and analysis of algorithms. From that, we can say that data structures are simply ways of organizing data.They are either linear or non-linear. Arrays and linked lists are examples of linear data structures. On the other hand, graphs and trees are forms of non-linear data structures.For example, one common data structure is the list or array, which is an ordered sequence of values. Here’s a list of numbers: 0, 1, 1, 2, 3, 5, 8, 13. The concept of the list isn’t particular to one language, and it’s also used outside of #programming in everyday life — wish lists, shopping lists, and so on.Algorithms are recipes for getting things done. They (...)
Vega / Vega-Lite
What I Learned Recreating One Chart Using 24 Tools - Features - Source : An OpenNews project
Exemple de specs
Roll your own charting system
Users mailing list
un block test
#Ebola in Sierra Leone: “If we had lost Freetown...”
The experts believed it was impossible to stop the virus, which has proven fatal in more than half of cases, from taking hold in the city’s densely populated shanty towns.
He said: “They showed us some very, very simple #graphs, which showed the #exponential curve still rising.”
The #model may have been wrong, but it doubtless put the British in a suitable frame of mind. No doubt we will hear more now-it-can-be-told stories when Ebola is (for now) stamped out. But the real scare stories will stay with the NGOs, health agencies, and senior bureaucrats, to be shared late at night after enough drinks, and very rarely shared at all with spouses.
Comment #Facebook a enseigné à son outil de recherche à comprendre les gens - NYTimes.com