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Large scale network analysis with applications to transportation, communication and inference networks
1988
Discrete Mathematics
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In this paper, we shall describe semiring networks and show how to deal with large matrices. ...
Introduction The study of large scale networks has been mainly motivated by practical problems, like transportation problems, reliability problems. ...
doi:10.1016/0012-365x(88)90225-7
fatcat:v6iqb5mjczcydby4kwwflzxwn4
CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling
2011
Computer applications in the biosciences : CABIOS
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It integrates large-scale network analysis and quantitative modeling by combining omics analysis on the Cytoscape platform, access to deterministic and stochastic simulators, and static and dynamic network ...
Availability: Implemented in Java, CytoModeler runs with Cytoscape 2.6 and 2.7. Binaries, documentation and video walkthroughs are freely available at http://vrac.iastate.edu/~jlv/ cytomodeler/. ...
ACKNOWLEDGEMENTS We would like to thank the Cytoscape development team, Xun Gu for the suggestion and Jie Li for their technical support. ...
doi:10.1093/bioinformatics/btr150
pmid:21511714
pmcid:PMC3102219
fatcat:5irhsrcyxzeh7n3qshmbvkeqlq
Brief survey of Mobility Analyses based on Mobile Phone Datasets
[article]
2018
arXiv
pre-print
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We describe applications of mobility analyses for urban planning, prediction of data traffic usage, building delay tolerant networks, generating epidemiologic risk maps and measuring the predictability ...
A driving theme in these projects is to use and improve Data Science techniques to understand mobility, as it can be observed through the lens of mobile phone datasets. ...
This brief survey focuses on the analysis of mobility in space, investigating the important locations of the users' trajectories, and how they can be used to infer their participation in large social events ...
arXiv:1812.01077v1
fatcat:b2qbg3npfnegziyo3n6q2uny4e
Guest Editorial: Introduction to the Special Section on Data-Driven IoT for Smart Cities
2020
IEEE Transactions on Network Science and Engineering
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Instead of the traditional Internet of Contents in human-to-human and human-to-machine communications, the Internet of Things with communications among massive numbers of sensors will dominate the network ...
With the in-depth investigation and detailed discussion on the challenges and experiences in data-intensive analysis for smart cities, we aim to deepen our understanding of whether and how IoT-assisted ...
doi:10.1109/tnse.2020.3029003
fatcat:5b5kdx2l55gjlht6bmypwrep74
Flood Impact Assessments on Transportation Networks: A Review of Methods and Associated Temporal and Spatial Scales
2021
Frontiers in Sustainable Cities
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The analysis indicates that the majority of the articles assess the direct and tangible impacts with focus on the resilience of the transportation network in short- and medium-term temporal scales and ...
An analysis of the assessment methods and the transport models used to formulate flood effects on the transportation system is provided, as well as the drawbacks from the context of timescales, and recommendations ...
scale assessments include residential networks ranging from 5 to 200 km; and regional scale refers to large-scale networks having a distance in the range of 200-1,000 km and greater. ...
doi:10.3389/frsc.2021.732181
fatcat:cig7xu3qvneldpmgaej4bqtj7q
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
[chapter]
2010
Lecture Notes in Computer Science
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From those emerging areas, there is a clear trend to augment the physical devices/objects with sensing, computing and communication capabilities, connect them together to form a network, and make use of ...
Leveraging the capacity to collect and analyze the "digital footprints" at community scale, a new research field called "social and community intelligence (SCI)" is emerging that aims at revealing the ...
Corresponding to this trend, a large body of work on social network analysis and knowledge discovery springs up, including Email communication networks [20] , scientific collaboration and co-authorship ...
doi:10.1007/978-3-642-16355-5_4
fatcat:2zlro5l4dvfhtpavzbojowxgo4
The Emergence of Social and Community Intelligence
2011
Computer
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With advances in computing, storage, Internet access, wireless communication, and sensing, it is now possible to monitor and analyze human behavior, social interactions, and city dynamics on a large scale ...
extraction, and e-mail network analysis. ...
Compared to SCI, social computing emphasizes the analysis of human interaction and social behaviors using only Web data. It does not target the study of a large-scale physical community. ...
doi:10.1109/mc.2011.65
fatcat:ati2z2ncnng45hxobax4t7vsga
Connecting personal-scale sensing and networked community behavior to infer human activities
2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct
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Advances in mobile and wearable devices are making it feasible to deploy sensing systems at a large-scale. ...
We propose the Networked Community Behavior (NCB) framework for activity recognition, specifically designed to exploit community-scale behavioral patterns. ...
Figure 3 illustrates the hierarchical network NCB uses to represent the relationship between personal-scale and community-scale data. ...
doi:10.1145/2632048.2636094
dblp:conf/huc/LanePZZ14
fatcat:tpkci4jvz5gmdb3l7tl36xe6ya
Urban Analytics: Multiplexed and Dynamic Community Networks
[article]
2018
arXiv
pre-print
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A number of community layer and interaction detection algorithms are then reviewed, with a particular focus on robustness, stability, and causality of evolving communities. ...
Many aspects of critical urban infrastructure are closely coupled with the human communities that they serve. ...
The advent of large scale social, cultural, physical and transport network datasets bring with it the opportunity to better understand and potentially model these multi-layer urban challenges.
B. ...
arXiv:1706.05535v4
fatcat:xlhu2522jjf5xpswfqii6m3jmm
Agent-oriented Modeling and Simulation of IoT Networks
2016
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems
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Then, agent-modelled IoT networks of different scales are simulated through the Omnet++ simulation platform, with the goal of analyzing issues and bottlenecks at communication level. I. ...
Moreover, in order to analyze IoT networks at SO communication level, the Omnet++ [5] network simulation platform has been used to evaluate bottlenecks and issues in specifically defined scenarios. ...
In the following SOs population is considered limited to 100 nodes for small-scale networks, 500 nodes for medium-scale networks and 1000 nodes for large-scale networks; SO distribution in a different ...
doi:10.15439/2016f359
dblp:conf/fedcsis/FortinoRS16
fatcat:2o3l72ajsjczvdncibp3jifzae
A survey of mobile phone sensing
2010
IEEE Communications Magazine
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These applications represent large-scale data collection, analysis, and sharing for the good of the commu- nity. ...
But a natural question is, once you infer a class or collect together a set of large-scale inferences, how do you close the loop with people and provide useful information back to users? ...
doi:10.1109/mcom.2010.5560598
fatcat:i42ahoh44bhr3cyn4y2f5dp6fu
Bayesian Inference for Origin-Destination Matrices of Transport Networks Using the EM Algorithm
2005
Technometrics
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In this paper, through the EM algorithm, Bayesian inference is reinvestigated for a transport network to estimate the population means of traffic flows, reconstruct traffic flows, and predict future traffic ...
A relatively inexpensive method to update an OD matrix is to draw inference about the OD matrix based on a single observation of traffic flows on a specific set of network links, where the Bayesian approach ...
The basic topological structure of transport networks is similar to that of communication networks. ...
doi:10.1198/004017005000000283
fatcat:wyzop5oetvbijjvpnpo2tiby3m
Toward a Better Understanding of Species Interactions through Network Biology
2019
mSystems
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Over the next 5 to 10 years, we will be in a strong position to infer networks that contain multiple kinds of omic data and describe systems with multiple species. ...
At the same time, new methods of analysis have emerged that are based on inferring networks that link features both within and between species based on correlation in abundance. ...
the soil microbiome to environmental perturbations." ...
doi:10.1128/msystems.00114-19
pmid:31138721
pmcid:PMC6584873
fatcat:iklk3hbxlfdyldl5dd3rapzvwu
Metabolic Networks, Microbial Consortia, and Analogies to Smart Grids
2022
Proceedings of the IEEE
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After introducing its main concepts, we focus on numerical tools, such as optimization and sampling, to predict cellular features and behaviors at a large scale. ...
Metabolic network analysis is an accessible and versatile modeling approach for biology that has taken much inspiration from electric circuit analysis. ...
Flux Inference Flux inference aims to identify metabolic fluxes from large sets of experimental measurements for a given condition using metabolic networks [10] , [42] . ...
doi:10.1109/jproc.2022.3158396
fatcat:xoaqxhq4fzh5plmqnkd3es3a2q
Security and Privacy in Internet of Things with Crowd-Sensing
2017
Journal of Electrical and Computer Engineering
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Experimental results also validate the e ciency of their algorithm. e paper "Vulnerability Analysis of Interdependent Scale-Free Networks with Complex Coupling" by C. ...
Crowd-sensing, known as a promising data collection method, is becoming increasingly popular in IoTs due to its low deployment cost and large-scale spatial coverage. ...
Acknowledgments We would like to thank all the authors for submitting their manuscripts to this issue and all the reviewers for every e ort in the professional review process. ...
doi:10.1155/2017/2057965
fatcat:3i6d5hvfbjdbzjsn2y3k6uefwa
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