@Mediagazer@mstdn.socialRyan Coogler's Proximity Media strikes an overall deal with Netflix to develop series after Coogler's five-year TV deal with Disney ended (Peter White/Deadline)
https://deadline.com/2026/06/ryan-coogler-proximity-media-tv-overall-deal-net…
@der_raddler@dresden.networkFrom Facebook:
After a tough and emotional decision, Jana Kesenheimer (010), who had been leading the FLINTA field, has decided to drop out of the General Classification to join her partner, Christian Holweck (014), and ride for a Race Finish as a pair.
The pair had completed most of their TCR training together over the last year, and although Jana hadn’t initially considered riding as a pair, their unexpected proximity during the first days of the race proved difficult. The str…
@Archivist@social.linux.pizzaThe fact that I have such a strong food phobia that I don't feel myself capable to work at a supermarket during the weekend because I would have to manipulate some cheese in a packaging is terrible. Come on all the easy weekend jobs require at some point to be in proximity or contact with cheese.
Except security guard, but then I have to be in contact with humans which is just slightly less terrible
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@ellie@ellieayla.netIs Vito Buric (The Gunrunner elusive target 2026 version) supposed to be completely invisible in hitman vision? Or is that a bug?
Makes timing an exploding vomit trash bin tricky. I probably should have used a proximity micro taser.
Too late now though.
#hitman #elusivetarget
@nerdsitu@datasci.socialNew NERDS paper on drug traffic and migration
https://nerds.itu.dk/2026/06/01/nerds-paper-on-drug-traffic-and-migration/
@arXiv_csIT_bot@mastoxiv.pageReplaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Optimal Proximity Gap for Folded Reed--Solomon Codes via Subspace Designs
Fernando Granha Jeronimo, Lenny Liu, Pranav Rajpal
https://arxiv.org/abs/2601.10047 https://mastoxiv.page/@arXiv_csIT_bot/115903956641689136
- Breaking Symmetry in D2D Coded Caching: Optimal Communication with Low Subpacketization
Xiang Zhang, Giuseppe Caire, Mingyue Ji
https://arxiv.org/abs/2602.12220 https://mastoxiv.page/@arXiv_csIT_bot/116062725600909840
- A New Approach to Code Smoothing Bounds
Tsuyoshi Miezaki, Yusaku Nishimura, Katsuyuki Takashima
https://arxiv.org/abs/2603.18077 https://mastoxiv.page/@arXiv_csIT_bot/116260380391748925
- Fluid Antenna Systems Enabling 6G HRLLC With Port Switching Delay
Xusheng Zhu, Kai-Kit Wong, Hao Xu, Chenguang Rao, Hyundong Shin
https://arxiv.org/abs/2605.06275 https://mastoxiv.page/@arXiv_csIT_bot/116537839161835575
- Accurate Estimation of Mutual Information in High Dimensional Data
Eslam Abdelaleem, K. Michael Martini, Ilya Nemenman
https://arxiv.org/abs/2506.00330 https://mastoxiv.page/@arXiv_physicsdataan_bot/114618315134354611
- SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
Ayush Zenith, Arnold Zumbrun, Neel Raut, Jing Lin
https://arxiv.org/abs/2510.06596 https://mastoxiv.page/@arXiv_csCV_bot/115343628773188610
- SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Use...
Weihang Cao, Mustafa Doger, Sennur Ulukus
https://arxiv.org/abs/2512.13666 https://mastoxiv.page/@arXiv_csCR_bot/115729118798706696
- A theory of learning data statistics in diffusion models, from easy to hard
Lorenzo Bardone, Claudia Merger, Sebastian Goldt
https://arxiv.org/abs/2603.12901 https://mastoxiv.page/@arXiv_statML_bot/116237842977106276
- On the independence number of de Bruijn graphs
Pietro Majer, Matteo Novaga
https://arxiv.org/abs/2604.14671 https://mastoxiv.page/@arXiv_mathCO_bot/116419097221023806
- Information bottleneck for learning the phase space of dynamics from high-dimensional experimenta...
K. Michael Martini, Eslam Abdelaleem, Paarth Gulati, Ilya Nemenman
https://arxiv.org/abs/2604.24662 https://mastoxiv.page/@arXiv_physicsdataan_bot/116481236697063671
- Improved Amenability Bounds for Local Coordination Games
Ron Peretz, Dean Kraizberg
https://arxiv.org/abs/2606.01963 https://mastoxiv.page/@arXiv_csGT_bot/116679490095124433
toXiv_bot_toot
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@leftsidestory@mstdn.socialUrban Illusions and Fallacies 🏙️
城市的幻影和谬误 🏙️
📷 Pentax 6x7
🎞️ Lucky SHD 400 (6x7)
If you like my work, Support by buying me a coffee or a roll of film from PayPal https://paypal.com/paypalme/ydcdingsite
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@arXiv_csIT_bot@mastoxiv.pageReplaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Optimal Proximity Gap for Folded Reed--Solomon Codes via Subspace Designs
Fernando Granha Jeronimo, Lenny Liu, Pranav Rajpal
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@smurthys@hachyderm.io @netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.desp_high_school: High school temporal contacts (2013)
These data sets correspond to the contacts and friendship relations between students in a high school in Marseilles, France, in December 2013, as measured through several techniques.
This network has 329 nodes and 188508 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.decontact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 692 nodes and 2426279 edges.
Tags: Social, Offline, Un…
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 536 nodes and 3600 edges.
Tags: Social, Offline, Unwei…
@netzschleuder@social.skewed.dereality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 800 nodes and 6429 edges.
Tags: Social, Offline, Unwei…
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 536 nodes and 3600 edges.
Tags: Social, Offline, Unwei…
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…
@netzschleuder@social.skewed.decopenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…
@netzschleuder@social.skewed.desp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…
@netzschleuder@social.skewed.deproduct_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …
