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@netzschleuder@social.skewed.de
2025-10-30 12:00:04

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 403 nodes and 1417485 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 403 nodes, 1417485 edges. https://networks.skewed.de/net/sp_colocation#SFHH

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…

@arXiv_statME_bot@mastoxiv.page
2025-09-30 09:41:21

Individualized treatment regimens under correlated data with multiple outcomes
Misha Dolmatov, Erica E. M. Moodie, David A. Stephens, Dipankar Bandyopadhyay
arxiv.org/abs/2509.22905

Individualized treatment regimens under correlated data with multiple outcomes
Precision medicine involves developing individualized treatment regimes (ITRs) which allow for treatment decisions to be tailored to patient characteristics. Naturally, the identification of the optimal regime, that is, the rule which maximizes patient outcomes, is of interest. Several procedures for estimating optimal ITRs from observational data have been proposed; however, relatively few methods exist for estimating optimal ITRs in the presence of competing risks. Previous approaches either …

@arXiv_csGT_bot@mastoxiv.page
2025-09-30 09:00:01

A Bilevel Approach to Integrated Surgeon Scheduling and Surgery Planning solved via Branch-and-Price
Broos Maenhout, P\v{r}emysl \v{S}\r{u}cha, Viktorie Valdmanov\'a, Ond\v{r}ej Tkadlec, Jana Thao Rozlivkov\'a
arxiv.org/abs/2509.24806

A Bilevel Approach to Integrated Surgeon Scheduling and Surgery Planning solved via Branch-and-Price
In this paper, we study a multi-agent scheduling problem for organising the operations within the operating room department. The head of the surgeon group and individual surgeons are together responsible for the surgeon schedule and surgical case planning. The surgeon head allocates time blocks to individual surgeons, whereas individual surgeons determine the planning of surgical cases independently, which might degrade the schedule quality envisaged by the surgeon head. The bilevel optimisatio…

@netzschleuder@social.skewed.de
2025-10-29 19:00:04

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
networks.skewed.de/net/sp_offi

sp_office: Workplace contacts (2013). 92 nodes, 9827 edges. https://networks.skewed.de/net/sp_office

sp_office — Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.

@netzschleuder@social.skewed.de
2025-10-29 18:00:04

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
networks.skewed.de/net/sp_offi

sp_office: Workplace contacts (2013). 92 nodes, 9827 edges. https://networks.skewed.de/net/sp_office

sp_office — Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.

@netzschleuder@social.skewed.de
2025-10-29 09:00:04

elite: Barnes-Burkett elite affiliations (1962)
A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.
This network has 44 nodes and 99 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/…

elite: Barnes-Burkett elite affiliations (1962). 44 nodes, 99 edges. https://networks.skewed.de/net/elite

elite — Barnes-Burkett elite affiliations (1962)
A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.

@netzschleuder@social.skewed.de
2025-11-29 22:00:04

elite: Barnes-Burkett elite affiliations (1962)
A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.
This network has 44 nodes and 99 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/…

elite: Barnes-Burkett elite affiliations (1962). 44 nodes, 99 edges. https://networks.skewed.de/net/elite

elite — Barnes-Burkett elite affiliations (1962)
A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.

@netzschleuder@social.skewed.de
2025-09-30 00:00:04

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/sa_comp

sa_companies: South African companies (1919). 11 nodes, 13 edges. https://networks.skewed.de/net/sa_companies

sa_companies — South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.

@netzschleuder@social.skewed.de
2025-09-30 04:00:03

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 13 edges.
Tags: Social, Offline, Weighted, Temporal

ambassador: Philippines Ambassador bombing (2000). 16 nodes, 13 edges. https://networks.skewed.de/net/ambassador#2003

ambassador — Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.

@netzschleuder@social.skewed.de
2025-12-29 23:00:05

fly_hemibrain: Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.
This network has 21739 nodes and 4259624 edges.
Tags: Biological, Connectome, Weighted, Metadata

fly_hemibrain: Fly hemibrain (2020). 21739 nodes, 4259624 edges. https://networks.skewed.de/net/fly_hemibrain

fly_hemibrain — Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.