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Progress in many domains increasingly benefits from our ability to view the systems through a computational lens, i.e., using computational abstractions of the domains; and our ability to acquire, share, integrate, and analyze disparate…

Inference and prediction are fundamental to the study of complex systems, where network data are often incomplete, inaccurate or obtained indirectly. In this paper, we review recent advances in network sampling and comparison, as well as in…

统计力学 · 物理学 2025-12-09 Francisco A. Rodrigues

Technology convergence integrates distinct domains to create novel combinations, driving radical innovation that reshapes markets and industries. However, most approaches rely on pairwise networks that cannot capture multi-technology…

物理与社会 · 物理学 2026-02-27 Yiwei Huang , Shuqi Xu , Shimin Cai , Linyuan Lü

Network embedding methods map a network's nodes to vectors in an embedding space, in such a way that these representations are useful for estimating some notion of similarity or proximity between pairs of nodes in the network. The quality…

社会与信息网络 · 计算机科学 2022-02-02 Alexandru Mara , Jefrey Lijffijt , Tijl De Bie

We show that the space in which scientific, technological and economic developments interplay with each other can be mathematically shaped using pioneering multilayer network and complexity techniques. We build the tri-layered network of…

With the continuing decrease of sensor technology prices as well as the increase of communication and analytical capabilities of modern internet of things devices, the continuously generated amount of data is constantly growing. Various use…

网络与互联网体系结构 · 计算机科学 2021-09-03 Dominik Martin , Niklas Kühl , Marcel Schwenk

Future Information Retrieval, especially in connection with the internet, will incorporate the content descriptions that are generated with social network extraction technologies and preferably incorporate the probability theory for…

信息检索 · 计算机科学 2012-07-17 Mahyuddin K. M. Nasution , Shahrul Azman Noah

This paper describes a process for combining patterns and features, to guide a search process and make predictions. It is based on the functionality that a human brain might have, which is a highly distributed network of simple neuronal…

人工智能 · 计算机科学 2021-01-05 Kieran Greer

A fundamental problem in technological studies is how to measure the evolution of technology. The literature has suggested several approaches to measuring the level of technology (or state-of-the-art) and changes in technology. However, the…

经济学 · 定量金融 2018-03-26 Mario Coccia

The emergence of new digital technologies has allowed the study of human behaviour at a scale and at level of granularity that were unthinkable just a decade ago. In particular, by analysing the digital traces left by people interacting in…

计算机与社会 · 计算机科学 2019-08-09 Mirco Musolesi

For decades, proponents of the Internet have promised that it would one day provide a seamless way for everyone in the world to communicate with each other, without introducing new boundaries, gatekeepers, or power structures. What…

计算机与社会 · 计算机科学 2023-04-17 Geoff Goodell

Even though rural entrepreneurship and innovation has been studied for decades, the advent of social media, mobile, analytics, cloud computing and internet of things - also referred as digital technologies - (Nambisan 2013, Yoo et al. 2012)…

计算机与社会 · 计算机科学 2020-10-26 Sachithra Lokuge

Functional technical performance usually follows an exponential dependence on time but the rate of change (the exponent) varies greatly among technological domains. This paper presents a simple model that provides an explanatory foundation…

计算机与社会 · 计算机科学 2016-02-16 Subarna Basnet , Christopher L. Magee

This study here suggests a classification of technologies based on taxonomic characteristics of interaction between technologies in complex systems that is not a studied research field in economics of technical change. The proposed taxonomy…

计算机与社会 · 计算机科学 2017-12-22 Mario Coccia

There have been many recent studies on sequential pattern mining. The sequential pattern mining on progressive databases is relatively very new, in which we progressively discover the sequential patterns in period of interest. Period of…

数据库 · 计算机科学 2010-07-15 B. N. Keshavamurthy , Mitesh Sharma , Durga Toshniwal

In recent years the two trends of edge computing and artificial intelligence became both crucial for information processing infrastructures. While the centralized analysis of massive amounts of data seems to be at odds with computation on…

分布式、并行与集群计算 · 计算机科学 2017-11-07 Christian Weilbach , Annette Bieniusa

Machine learning models are increasingly integrated into societally critical applications such as recidivism prediction and medical diagnosis, thanks to their superior predictive power. In these applications, however, full automation is…

人机交互 · 计算机科学 2020-03-18 Vivian Lai , Samuel Carton , Chenhao Tan

Observations on the past provide some hints about what will happen in the future, and this can be quantified using information theory. The ``predictive information'' defined in this way has connections to measures of complexity that have…

统计力学 · 物理学 2007-05-23 William Bialek , Naftali Tishby

Work must be reshaped in the upcoming new era characterized by new challenges and the presence of new technologies and computational tools. Over-automation seems to be the driver of the digitalization process. Substitution is the paradigm…

计算机与社会 · 计算机科学 2021-04-07 David Pastor-Escuredo

Technology adoption research aims to determine the reasons why and how individuals, corporations, and industries start using new technology. Furthermore, technology adoption itself is decomposed into underlying sub-processes which are…

应用统计 · 统计学 2023-03-21 Vahidin Jeleskovic , David Alexander Behrens , Wolfgang Karl Härdle