Reporting a network’s most-central actor with a confidence level
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Mathematical Organization Theory"
DOI: 10.1007/s10588-016-9229-x
Abstract: This article introduces a confidence level (CL) statistic to accompany the identification of the most central actor in relational, social network data. CL is the likelihood that the most-central actor assertion is correct in light… read more here.
Keywords: central actor; network; actor; confidence level ... See more keywords
Characterization of topic-based online communities by combining network data and user generated content
Sign Up to like & getrecommendations! Published in 2020 at "Statistics and Computing"
DOI: 10.1007/s11222-020-09947-5
Abstract: This study proposes a model for characterizing online communities by combining two types of data: network data and user-generated-content (UGC). The existing models for detecting the community structure of a network employ only network information.… read more here.
Keywords: network; online communities; data user; network data ... See more keywords
In-Network Data Processing Based on Compressed Sensing in WSN: A Survey
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4288-y
Abstract: Energy conservation in resource constrained wireless sensor networks (WSNs) is an important concern. Techniques such as, energy conserving MAC protocols have been proved to be efficient to minimize the energy consumption in such networks. However,… read more here.
Keywords: data processing; network; compressed sensing; based compressed ... See more keywords
Depression detection from social network data using machine learning techniques
Sign Up to like & getrecommendations! Published in 2018 at "Health Information Science and Systems"
DOI: 10.1007/s13755-018-0046-0
Abstract: PurposeSocial networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity… read more here.
Keywords: depression; machine learning; social network; learning techniques ... See more keywords
Bayesian epidemiological modeling over high-resolution network data.
Sign Up to like & getrecommendations! Published in 2020 at "Epidemics"
DOI: 10.1016/j.epidem.2020.100399
Abstract: Mathematical epidemiological models have a broad use, including both qualitative and quantitative applications. With the increasing availability of data, large-scale quantitative disease spread models can nowadays be formulated. Such models have a great potential, e.g.,… read more here.
Keywords: bayesian epidemiological; epidemiological modeling; model; network data ... See more keywords
A mechanism for aggregating association network data: An application to brand concept maps
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Business Research"
DOI: 10.1016/j.jbusres.2017.05.025
Abstract: The brand concept maps (BCM) approach is a valuable tool for measuring brand images, that is, an important part of customer-based brand equity. The approach is used to identify brand association networks, which contain information… read more here.
Keywords: aggregation; mechanism; brand; network data ... See more keywords
Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-29725-8
Abstract: A major line of contemporary research on complex networks is based on the development of statistical models that specify the local motifs associated with macro-structural properties observed in actual networks. This statistical approach becomes increasingly… read more here.
Keywords: likelihood estimation; network; maximum likelihood; network data ... See more keywords
Outlier detection for multi-network data
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac431
Abstract: MOTIVATION It has become routine in neuroscience studies to measure brain networks for different individuals using neuroimaging. These networks are typically expressed as adjacency matrices, with each cell containing a summary of connectivity between a… read more here.
Keywords: network; outlier detection; network data; multi network ... See more keywords
Network canvas: an open-source tool for capturing social and contact network data.
Sign Up to like & getrecommendations! Published in 2023 at "International journal of epidemiology"
DOI: 10.1093/ije/dyad036
Abstract: MOTIVATION Social influence and contact networks are extremely important for understanding health behaviour and the spread of disease. Yet, most traditional software tools are not optimized to capture these data, making measurement of personal networks… read more here.
Keywords: network; network data; canvas open; network canvas ... See more keywords
Building surrogate temporal network data from observed backbones.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.103.052304
Abstract: Many systems of socioeconomic interests find a convenient representation in the form of temporal networks, i.e., sets of nodes and interactions occurring at specified times. In the corresponding data sets, however, crucial elements coexist with… read more here.
Keywords: network data; temporal network; surrogate temporal; building surrogate ... See more keywords
Inferring and Modeling Migration Flows Using Mobile Phone Network Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2952911
Abstract: Estimating migration flows and forecasting future trends is important, both to understand the causes and effects of migration and to implement policies directed at supplying particular services. Over the years, less research has been done… read more here.
Keywords: network data; mobile phone; modeling migration; migration ... See more keywords