Results 111 to 120 of about 381 (137)

Collaboration and Support Between Chilean Schools From an Egonet Mixed-Method Approach

open access: yesJournal of Educational Change
This study aims to characterise inter-organisational collaboration and support networks between schools in a privatised, marketised, and competitive school system. It is located within and contributes to a body of literature on school networks, which has
Ignacio Wyman
exaly   +3 more sources
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Mixed Methods in Egonet Analysis

Lecture Notes in Networks and Systems, 2021
Social network analysis that uses mixed methods has gained momentum in the last ten to fifteen years. Although not new, as SNA can count on a long and illustrious tradition of qualitative and ethnographic studies, the approach that relies on qualitative methods in data collection, analysis and interpretation, and mixes it with more or less ...
Elisa Bellotti
exaly   +4 more sources

An Egonet Analysis Exploring Social Support Structures of Construction Workers: A Pilot Study

open access: yesJournal of Applied Sciences, 2023
Background and Objective: Construction industry workers have high levels of stress and suicide rates compared to other industries. Support mechanisms like social capital and social support help to protect against stress and distress, however, these support networks are unexplored in the construction management literature. The objective of this research
Sukanlaya Sawang, Rebecca R Langdon
exaly   +4 more sources

Investigating Ego Modules and Pathways in Osteosarcoma by Integrating the EgoNet Algorithm and Pathway Analysis

open access: yesBrazilian Journal of Medical and Biological Research, 2017
Osteosarcoma (OS) is the most common primary bone malignancy, but current therapies are far from effective for all patients. A better understanding of the pathological mechanism of OS may help to achieve new treatments for this tumor.
X Y Chen
exaly   +2 more sources

First-Person Action-Object Detection With EgoNet

open access: yesRobotics: Science and Systems XIII, 2017
Unlike traditional third-person cameras mounted on robots, a first-person camera, captures a person's visual sensorimotor object interactions from up close. In this paper, we study the tight interplay between our momentary visual attention and motor action with objects from a first-person camera.
Stella X. Yu   +2 more
exaly   +5 more sources

Egonets as systematically biased windows on society

Network Science, 2020
AbstractA person’s egonet, the set of others with whom that person is connected, is a personal sample of society which especially influences that person’s experience and perceptions of society. We show that egonets systematically misrepresent the general population because each person is included in as many egonets as that person has “friends ...
Scott L. Feld, Alec McGail
openaire   +1 more source

Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Bogdan Dumitrescu
exaly   +3 more sources

Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition

open access: yesIEEE Transactions on Signal Processing, 2018
Detection of overlapping communities in real-world networks is a generally challenging task. Upon recognizing that a network is in fact the union of its egonets, a novel network representation using multi-way data structures is advocated in this contribution.
Georgios B Giannakis   +2 more
exaly   +4 more sources

Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Georgios B. Giannakis   +2 more
exaly   +3 more sources

Egonet Based Anomaly Detection in E-Bank Transaction Networks

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract While most of the risks to online banking come from outside, some abnormal accounts can also cause losses to banks or their customers. In this work, we used a data set of 3,411,486 customers collected from a top Chinese bank to mine the abnormal accounts of online banking customers.
Yuan Wang, Liming Wang, Jing Yang
exaly   +2 more sources

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