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In a previous work, we applied a field formalism to analyze capital allocation and accumulation within a network of investors and firms. In that framework, financial agents could invest in firms or in other investors, and banks-introduced…

Other Condensed Matter · Physics 2025-11-06 Pierre Gosselin , Aïleen Lotz

Navigating and visualizing multilayered knowledge graphs remains a challenging, unresolved problem in information systems design. Building on our earlier study, which engaged end users in both the design and population of a domain-specific…

Human-Computer Interaction · Computer Science 2025-05-05 Stanislava Gardasevic , Manika Lamba , Jasmine S. Malone

Financial institutions increasingly require scalable tools to analyse complex transactional networks, yet traditional graph embedding methods struggle with dynamic, real-world banking data. This paper demonstrates the practical application…

Machine Learning · Computer Science 2025-09-17 Mihir Tare , Clemens Rattasits , Yiming Wu , Euan Wielewski

We introduce a concept called a collective: an interface with a protocol for aggregating contributions and distributing returns. Through such a protocol, many members may participate in a mutual endeavor. We present a variety of real-world…

Category Theory · Mathematics 2022-01-31 Nelson Niu , David I. Spivak

We present some practical guidelines for software implementations of the meta-structure project introduced in previous contributions. The purpose of the meta-structure project is to implement models not only to detect, but also to induce,…

Adaptation and Self-Organizing Systems · Physics 2017-01-24 Gianfranco Minati

A core abstraction in early Unix systems was the principle that 'everything is a file', enabling heterogeneous devices and kernel resources to be manipulated via uniform read/write interfaces. This paper explores how an analogous…

Software Engineering · Computer Science 2026-01-21 Deepak Babu Piskala

Financial transactions can be considered edges in a heterogeneous graph between entities sending money and entities receiving money. For financial institutions, such a graph is likely large (with millions or billions of edges) while also…

Machine Learning · Computer Science 2019-07-18 C. Bayan Bruss , Anish Khazane , Jonathan Rider , Richard Serpe , Antonia Gogoglou , Keegan E. Hines

Many real-world interactions (e.g., researcher collaborations and email communication) occur among multiple entities. These group interactions are naturally modeled as hypergraphs. In graphs, transitivity is helpful to understand the…

Social and Information Networks · Computer Science 2023-10-27 Sunwoo Kim , Fanchen Bu , Minyoung Choe , Jaemin Yoo , Kijung Shin

The presence of Super-Apps have changed the way we think about the interactions between users and commerce. It then comes as no surprise that it is also redefining the way banking is done. The paper investigates how different interactions…

Machine Learning · Computer Science 2021-02-22 Luisa Roa , Andrés Rodríguez-Rey , Alejandro Correa-Bahnsen , Carlos Valencia

Autonomous agents are moving from tools into a layer of social infrastructure: they browse, purchase, deploy software, manage systems, and increasingly interact with one another. As these systems scale, the bottleneck shifts away from raw…

Graph algorithms and techniques are increasingly being used in scientific and commercial applications to express relations and explore large data sets. Although conventional or commodity computer architectures, like CPU or GPU, can compute…

Hardware Architecture · Computer Science 2017-07-03 Michel A. Kinsy , Rashmi S. Agrawal , Hien D. Nguyen

Teams of interacting and co-operating agents have been proposed as an efficient and robust alternative to monolithic centralized control for carrying out specified tasks in a variety of applications. A number of different team and agent…

Multiagent Systems · Computer Science 2022-05-05 T. Wareham

We discuss the design, architecture, and implementation of a toolkit which supports some theories for distributed interactions. The main design principles of our architecture are flexibility and modularity. Our main goal is to provide an…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-10-20 Julien Lange , Emilio Tuosto

Algorithmic Recourse aims to provide actionable explanations, or recourse plans, to overturn potentially unfavourable decisions taken by automated machine learning models. In this paper, we propose an interaction paradigm based on a guided…

Human-Computer Interaction · Computer Science 2024-07-22 Seyedehdelaram Esfahani , Giovanni De Toni , Bruno Lepri , Andrea Passerini , Katya Tentori , Massimo Zancanaro

Modern technology driven information systems are part of our daily lives. However, this deep integration poses new challenges to the human computer interaction (HCI) professionals. With the rapid growth of mobile and cloud computing and the…

Human-Computer Interaction · Computer Science 2026-03-30 Rajan Das Gupta , Ashikur Rahman , Md Imrul Hasan Showmick , Md. Yeasin Rahat , Md. Jakir Hossen

Temporal interaction networks capture the history of activities between entities along a timeline. At each interaction, some quantity of data (money, information, kbytes, etc.) flows from one vertex of the network to another. Flow-based…

Databases · Computer Science 2020-03-05 Chrysanthi Kosyfaki , Nikos Mamoulis , Evaggelia Pitoura , Panayiotis Tsaparas

Building interactive data interfaces is hard because the design of an interface depends on the data processing needs for the underlying analysis task, yet we do not have a good representation for analysis tasks. To fill this gap, this paper…

Databases · Computer Science 2023-07-18 Yiru Chen , Jeffery Tao , Eugene Wu

We propose a novel class of Edge-Based Interface-Tracking (EBIT) methods in the field of multiphase flows for advecting the interface. The position of the interface is tracked by marker points located on the edges of the underlying grid,…

Fluid Dynamics · Physics 2023-02-22 Leonardo Chirco , Stephane Zaleski

Spreadsheets are the go-to tool for computerized calculation and modelling, but are hard to comprehend and adapt after reaching a certain complexity. In general, cognition of complex systems is facilitated by having a higher order mental…

Software Engineering · Computer Science 2018-09-11 Patrick Koch

The increasing interest in complex networks research has been a consequence of several intrinsic features of this area, such as the generality of the approach to represent and model virtually any discrete system, and the incorporation of…