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Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks

Sen Pei, Shaoting Tang, Zhiming Zheng, Zi-Ke Zhang
2015 PLoS ONE  
Detecting spreading outbreaks in social networks with sensors is of great significance in applications.  ...  Through simulations of diverse spreading dynamics on typical real-world social networks (facebook, coauthor and email social networks), we find that the excitable senor networks are capable of detecting  ...  Institute of Standard and Technology at http://trec. nist.gov/data/tweets/ after signing the usage agreement for research purpose, or contact the authors to obtain a minimized anonymous dataset.  ... 
doi:10.1371/journal.pone.0124848 pmid:25950181 pmcid:PMC4423969 fatcat:dqaxcewcejctjdywhqeqp3ft5i

Network Report: A Structured Description for Network Datasets [article]

Xinyi Zheng, Ryan A. Rossi, Nesreen Ahmed, Dominik Moritz
2022 arXiv   pre-print
Inappropriately using a network dataset can lead to severe consequences (e.g., discrimination) especially when machine learning models on networks are deployed in high-stake domains.  ...  Network report extends the idea of dataset reports (e.g., Datasheets for Datasets) from prior work with network-specific descriptions of the non-i.i.d. nature, demographic information, network characteristics  ...  For example, given a population network, randomly sampling a set of nodes versus randomly sampling a set of edges would result in very different network structures.  ... 
arXiv:2206.03635v1 fatcat:ip7rqclopje5dbjzjjioi6jfde

Churn in Social Networks [chapter]

Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe
2010 Handbook of Social Network Technologies and Applications  
of ETRI and DFG FOR 733 ("QuaP2P").  ...  Acknowldegements This work was carried out in part in the CLIQUE Strategic Research Cluster, which is funded by Science Foundation Ireland (SFI) under grant number 08/SRC/I1407, and under partial funding  ...  This enables to detect and predict churn in social networks for a wide range of application domains and potential risks that are of interest.  ... 
doi:10.1007/978-1-4419-7142-5_9 fatcat:r6pc5p2ewnad5e4et7ni2kdx4u

Brain networks for analyzing eye gaze

Christine I Hooker, Ken A Paller, Darren R Gitelman, Todd B Parrish, M.-Marsel Mesulam, Paul J Reber
2003 Cognitive Brain Research  
The eyes convey a wealth of information in social interactions. This information is analyzed by multiple brain networks, which we identified using functional magnetic resonance imaging (MRI).  ...  in neural processing in the superior temporal sulcus support the analysis of gaze cues that provide socially meaningful spatial information  ...  Brothers, The social brain: a project for integrating primate for the appearance of direct gaze from actual observation behaviour and neurophysiology in a new domain, Concep.  ... 
doi:10.1016/s0926-6410(03)00143-5 pmid:12880911 pmcid:PMC4346170 fatcat:6eavvw4uifebtisc5plhcafdj4

Network of Terror: How Daesh Uses Adaptive Social Networks to Spread its Message

Joseph Shaheen
2021 figshare.com  
discovered a number of important findingsthe most salient of which is on how individual leveldecisions made by many of their members have contributed to the survival of their propaganda capabilities,  ...  and in some instances an advancedability to thwart efforts to eliminate their messageand their outreach to both locals as well aswesterners.  ...  In the domain of traffic networks, centrality represents a proxy measure for influence and driving the message to its intended audience.  ... 
doi:10.6084/m9.figshare.14107277.v1 fatcat:ou3xiwvv5ngb3b7brasir67ar4

Neural Networks for automatic environmental sound recognition

Svetlana Segarceanu, George Suciu, Inge Gavat
2021 Zenodo  
The paper reopens the research we have started on the application of the Feed Forward Neural Networks, by exploring several configurations, and introduces the Convolutional Neural Networks in our investigation  ...  The experiments consider three classes of forest specific sounds and meant to detect the chainsaw sounds chainsaw, vehicle, and genuine forest.  ...  ACKNOWLEDGMENT This work has been supported by a grant of the Ministry of Innovation and Research, POC-5C project.  ... 
doi:10.5281/zenodo.5518442 fatcat:wco2vzh6wrb4tpi3qwl5kx3o3q

Neural Networks for automatic environmental sound recognition

Svetlana Segarceanu, George Suciu, Inge Gavat
2021 Zenodo  
The paper reopens the research we have started on the application of the Feed Forward Neural Networks, by exploring several configurations, and introduces the Convolutional Neural Networks in our investigation  ...  The experiments consider three classes of forest specific sounds and meant to detect the chainsaw sounds chainsaw, vehicle, and genuine forest.  ...  ACKNOWLEDGMENT This work has been supported in part by UEFISCDI Romania and Ministry of Innovation and Research through the projects POC-5C, SeaForest, MEWS and SmartSense, and funded in part by European  ... 
doi:10.5281/zenodo.5517244 fatcat:ar7fpldfybg2fk4txcxryqib3y

Neural Networks for automatic environmental sound recognition

Svetlana Segarceanu, George Suciu, Inge Gavat
2021 Zenodo  
The paper reopens the research we have started on the application of the Feed Forward Neural Networks, by exploring several configurations, and introduces the Convolutional Neural Networks in our investigation  ...  The experiments consider three classes of forest specific sounds and meant to detect the chainsaw sounds chainsaw, vehicle, and genuine forest.  ...  ACKNOWLEDGMENT This work has been supported in part by UEFISCDI Romania and Ministry of Innovation and Research through the POC-5C project and funded in part by European Union's Horizon 2020 research and  ... 
doi:10.5281/zenodo.5518411 fatcat:po3tfanccjdnvnhpoyz7q2z624

Neural Networks for automatic environmental sound recognition

Svetlana Segarceanu, George Suciu, Inge Gavat
2021 Zenodo  
The paper reopens the research we have started on the application of the Feed Forward Neural Networks, by exploring several configurations, and introduces the Convolutional Neural Networks in our investigation  ...  The experiments consider three classes of forest specific sounds and meant to detect the chainsaw sounds chainsaw, vehicle, and genuine forest.  ...  ACKNOWLEDGMENT This work has been supported by a grant of the Ministry of Innovation and Research, POC-5C project.  ... 
doi:10.5281/zenodo.5517175 fatcat:g7jiipw4kjbsvkfglqjej642iy

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
The unfolding of every event, breaking new or trend flows in real time inside OSN triggering a surge of opinionated networked content.  ...  To the best of our knowledge, this is the first attempt that illustrated the entire spectrum of social data networking analysis and their associated frameworks.  ...  Authors in [45] presented a cloud-based framework for context-sensitive venue recommendations in social networks for a single user or a group of friends with similar interests.  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

A network perspective on intermedia agenda-setting [article]

Samuel Stern, Giacomo Livan, Robert E. Smith
2020 arXiv   pre-print
In particular, we find clustering and density of influence networks to act as competing forces in this respect, with the former increasing and the latter reducing diversity.  ...  about the topic by the news sources in the network.  ...  Author details  ... 
arXiv:2002.05971v1 fatcat:b4o5lt5v3fcvrai7oyzm4tefsu

Plausibility of a Neural Network Classifier-Based Neuroprosthesis for Depression Detection via Laughter Records

Jorge Navarro, Mercedes Fernández Rosell, Angel Castellanos, Raquel del Moral, Rafael Lahoz-Beltra, Pedro C. Marijuán
2019 Frontiers in Neuroscience  
In the present study, involving 934 laughs from 30 patients and 20 controls, four different neural networks models were tested for sensitivity analysis, and were additionally trained for depression detection  ...  Indeed, exploring the application of laughter in the early detection and prognosis of Alzheimer and Parkinson would represent an enticing possibility, both from the biomedical and the computational points  ...  The software performing the "plosive automatic detection" function was implemented in Matlab version R2014a.  ... 
doi:10.3389/fnins.2019.00267 pmid:30949025 pmcid:PMC6437104 fatcat:pybiqxrjqzcxzgvbrhdfl5k6t4

Domotics and networking

W. Friesdorf, K. Fellbaum, S. Meyer, M. Hampicke, W. Rossdeutscher, G. Vanderheiden, H. Mollenkopf, E. Schulze, B. Schadow, H.W. Wahl, A. Van Berlo
2002 Gerontechnology  
It offers a means to outreach to caregivers who have concerns about memory loss in a family member to promote AD detection.  ...  We also examined the role of practice and preferred versus non-preferred hands contrasting both experienced and inexperienced users.  ...  For this reason the automatic detection of a case of emergency is of vital interest. Even multiple vital parameters give no reliable indication.  ... 
doi:10.4017/gt.2002.02.01.126.00 fatcat:wou3jhg4ajdnncslqpu2dfn73y

A network perspective on intermedia agenda-setting

Samuel Stern, Giacomo Livan, Robert E. Smith
2020 Applied Network Science  
In particular, we find clustering and density of influence networks to act as competing forces in this respect, with the former increasing and the latter reducing diversity.  ...  about the topic by the news sources in the network.  ...  Acknowledgements We thank Nora Ptakauskaite, Simone Righi, and David Tuckett for helpful comments on preliminary versions of this manuscript.  ... 
doi:10.1007/s41109-020-00272-4 fatcat:hkv5u4ep6vd4hcabkkpoii3zvm

Visual Network Asymmetry and Default Mode Network Function in ADHD: An fMRI Study

T. Sigi Hale, Andrea M. Kane, Olivia Kaminsky, Kelly L. Tung, Joshua F. Wiley, James J. McGough, Sandra K. Loo, Jonas T. Kaplan
2014 Frontiers in Psychiatry  
an averaged signal approach.  ...  of this effect; we tested its association with several large-scale distributed network systems.  ...  However, RH specialization is also reported for bottom-up functions, such as detection of sequence breaking novel objects (59) , automatic assessment of object relevance (57), automatic perceptual/integrative  ... 
doi:10.3389/fpsyt.2014.00081 pmid:25076915 pmcid:PMC4097354 fatcat:ou7yrgp7onfdziownmnmielzrq
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