Results 121 to 130 of about 439,984 (215)

Networks, Urban

, 2009
For much of the twentieth century, urban networks was a term used by sociologists and others to describe social networks, their importance for bonding within communities and bridging between communities, and their relationship to the geographical ...
Amin, Castells, Durkheim, Gans, Graham, Granovetter, Putnam, Sassen, Scott, Simmel, Smith, Taylor, Tonnies, Urry, Wellman, Wirth, Young   +16 more
core   +1 more source

The determinants of social capital on facebook [PDF]

This paper investigates the effect of socioeconomic status, trust and privacy concerns, and socio psychological factors on building three structural measures of social capital, which are bridging, bonding and network size (degree).
Asli Ertan
core  

See you on Facebook: the effect of social networking on human interaction [PDF]

This paper proposes an evolutionary framework to explore the dynamics of social interaction in an environment characterized by online networking and increasing pressure on time.
Antoci, Angelo, Sabatini, Fabio, Sodini, Mauro   +2 more
core   +1 more source

Economic span selection of bridge based on deep reinforcement learning [PDF]

arXiv
Deep Q-network algorithm is used to select economic span of bridge. Selection of bridge span has a significant impact on the total cost of bridge, and a reasonable selection of span can reduce engineering cost. Economic span of bridge is theoretically analyzed, and the theoretical solution formula of economic span is deduced.
arxiv  

Broadening Civic Space Through Voluntary Action Lessons from 2011 [PDF]

, 2011
This publication explores how non-formal voluntary action outside of formal organizations can lead to greater citizen participation in governance; serves as a resource to help civil society organizations (CSOs) explore the opportunities for engagement ...
Fiona Talcott
core  

Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Prediction [PDF]

arXiv
This paper introduces scour physics-inspired neural networks (SPINNs), a hybrid physics-data-driven framework for bridge scour prediction using deep learning. SPINNs integrate physics-based, empirical equations into deep neural networks and are trained using site-specific historical scour monitoring data.
arxiv  

MAZI Deliverable Report D2.5: – Design, progress and evaluation of the Deptford CreekNet pilot (version 2) [PDF]

, 2018
In this deliverable, the second in a series of three, we report on progress in the Creeknet pilot. We describe progress towards tasks identified in the Description of Work (DoW) for Task 2.2, focusing on activities in Year 2 (2017: months 13-24) and look
Clayton, Paul, Davies, Gareth, Gaved, Mark, Stevens, James   +3 more
core  

Online network use in schools: Social and educational opportunities [PDF]

, 2008
Most state governments in Australia have banned popular online networking sites from public schools after these sites were accused of supporting a broad host of threats to young people.
Notley, Tanya
core   +1 more source

Sensor Networks: A Bridge to the Physical World

, 2006
Wireless sensor networks are a new class of distributed systems that are an integral part of the physical space they inhabit. Unlike most computers, which work primarily with data created by humans, sensor networks reason about the state of the world that embodies them.
Deborah Estrin, Jeremy Elson
openaire   +2 more sources

Building Bridges between Users and Content across Multiple Platforms during Natural Disasters [PDF]

arXiv
Social media is a primary medium for information diffusion during natural disasters. The social media ecosystem has been used to identify destruction, analyze opinions and organize aid. While the overall picture and aggregate trends may be important, a crucial part of the picture is the connections on these sites.
arxiv