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Combining structural and dynamic information to predict activity in link streams

Thibaud Arnoux, Lionel Tabourier, Matthieu Latapy
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
To do this, we take benefit from the temporal and structural information captured by link streams.  ...  Using the link stream formalism to model data, we address here the activity prediction problem: we predict the number of links that will occur during a given time period between each pair of nodes.  ...  to link streams, which combine temporal and structural information.  ... 
doi:10.1145/3110025.3116209 dblp:conf/asunam/ArnouxTL17 fatcat:q6sqxijgfzfcrney32grlaoz2u

Predicting interactions between individuals with structural and dynamical information [article]

Thibaud Arnoux, Lionel Tabourier, Matthieu Latapy
2018 arXiv   pre-print
Using the link stream formalism to capture the dynamic of the systems, we tackle the issue of activity prediction in link streams, that is to say predicting the number of links occurring during a given  ...  period of time and we present a protocol that takes advantage of the temporal and structural information contained in the link stream.  ...  To do so, we capture independently some structural and dynamical features of link streams properties. Then, we combine these metrics in order to estimate future activity.  ... 
arXiv:1804.01465v2 fatcat:dcadbot2uzchpbbbavsqzsrml4

Predictive motor control of sensory dynamics in auditory active sensing

Benjamin Morillon, Troy A Hackett, Yoshinao Kajikawa, Charles E Schroeder
2015 Current Opinion in Neurobiology  
We then consider the motor system as a major source of rhythms (temporal priors) in auditory processing, that act in concert with attention to sharpen sensory representations and link them across areas  ...  Using speech as an exemplar, we illustrate how hierarchically organized oscillations can be used to parse and encode complex input streams.  ...  Acknowledgments Supported by the Bettencourt Schueller Foundation and by the NIH (MH060358, DC011490 and DC012918).  ... 
doi:10.1016/j.conb.2014.12.005 pmid:25594376 pmcid:PMC4898262 fatcat:75l3fk5frbetbfztpmn7w2ojpy

An Artificial Neural Networks based Temperature Prediction Framework for Network-on-Chip based Multicore Platform [article]

Sandeep Aswath Narayana
2016 arXiv   pre-print
Artificial Neural Networks (ANNs) have been used in various domains for modeling and prediction with high accuracy due to its ability to learn and adapt.  ...  This thermal profile of the chip is then used by the predictive DTM that combines both core level and network level DTM techniques.  ...  All the switches will send link and switch packetized their activity information to their nearest WIs that in turn will send these packets to the scheduler.  ... 
arXiv:1612.04197v1 fatcat:uoyot2zhwvfq7kigsqy5avruei

Evolutionary Network Analysis

Charu Aggarwal, Karthik Subbian
2014 ACM Computing Surveys  
Some dynamic networks have a much faster rate of edge arrival and are referred to as network streams or graph streams.  ...  Evolutionary network analysis has found an increasing interest in the literature because of the importance of different kinds of dynamic social networks, email networks, biological networks, and social  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1145/2601412 fatcat:hvm37apdbzgnzkgilt2te6gfba

NesTPP: Modeling Thread Dynamics in Online Discussion Forums [article]

Chen Ling, Guangmo Tong, Mozi Chen
2020 arXiv   pre-print
The proposed model views the entire event space as a nested structure composed of main thread streams and their linked reply streams, and it explicitly models the correlations between these two types of  ...  In this paper, we design a novel temporal point process model to characterize information cascades in online discussion forums.  ...  stream information in forecasting the reply stream dynamics.  ... 
arXiv:2003.06051v1 fatcat:c6jfyhwuxjghbpdyzresl6u2ka

Temporal context in speech processing and attentional stream selection: A behavioral and neural perspective

Elana M. Zion Golumbic, David Poeppel, Charles E. Schroeder
2012 Brain and Language  
In this regard, speech decoding and attentional stream selection are examples of 'Active Sensing', emphasizing an interaction between proactive and predictive top-down modulation of neuronal dynamics and  ...  We discuss the hypothesis that entrainment of ambient neuronal oscillations to speech's temporal structure, across multiple time-scales, serves to facilitate its decoding and underlies the selection of  ...  Acknowledgments The compilation and writing of this review paper was supported by NIH Grant 1 F32 MH093061-01 to EZG and MH060358.  ... 
doi:10.1016/j.bandl.2011.12.010 pmid:22285024 pmcid:PMC3340429 fatcat:o3unozokzfhr7bqh7am362itzi

Thinking like a consumer: Linking aquatic basal metabolism and consumer dynamics

Janine Rüegg, Caitlin C. Conn, Elizabeth P. Anderson, Tom J. Battin, Emily S. Bernhardt, Marta Boix Canadell, Sophia M. Bonjour, Jacob D. Hosen, Nicholas S. Marzolf, Charles B. Yackulic
2020 Limnology and Oceanography Letters  
respiration patterns, and consumer energetics with the potential to improve our current understanding of consumer dynamics (e.g., population dynamics, community structure, trophic interactions).  ...  roles of metabolic dynamics and other  ...  181491) and the US National Science Foundation (EF-1832012).  ... 
doi:10.1002/lol2.10172 fatcat:ccbuhjerf5bztkx7bsfhbquiiu

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
YONGQIANG ZHAO (Member, IEEE) received the B.S. degree in automation and the M.S. and Ph.D. degrees in control theory and control engineering from Northwestern  ...  ., ''Link prediction in evolving networks based on information propagation,'' proposes a new model, Common Influence Set, to calculate node similarities.  ...  In addition, new and complex features in social networks occur nowadays, such as heterogeneous human properties, dynamic network structure, and random interpersonal interactions.  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

Linking Scales in Stream Ecology

WINSOR H. LOWE, GENE E. LIKENS, MARY E. POWER
2006 BioScience  
Broader use of this approach will advance many goals in applied stream ecology, including the design of reserves to protect stream biodiversity and the conservation of freshwater resources and services  ...  The hierarchical structure of natural systems can be useful in designing ecological studies that are informative at multiple spatial scales.  ...  Mellon Foundation, and the National Science Foundation (NSF). This is a contribution to the Hubbard Brook Ecosystem Study and the Program of the Institute of Ecosystem Studies.  ... 
doi:10.1641/0006-3568(2006)56[591:lsise]2.0.co;2 fatcat:fzbocbkrl5dy7h2p3fx34jgxnq

Link Prediction for Authorship Association in Heterogeneous Network Using Streaming Classification

Harshal Singh, Divya Tomar, Sonali Agarwal
2016 International Journal of Grid and Distributed Computing  
However this in turn has generated a very complex network of objects and links which are needed to be analyzed and dealt with.  ...  Research has seen an exponential growth over the passing years, and the active researchers do not hesitate in linking with fellow researchers working in same domain irrespective of their geographic location  ...  Proposed Methodology This research work proposes streaming classification algorithm combined with correlation based feature selection as a solution to the link prediction for co-authorship network.  ... 
doi:10.14257/ijgdc.2016.9.4.13 fatcat:25vadwepezcyxpricipxsn3djq

Neuronal oscillations as a mechanistic substrate of auditory temporal prediction

Benjamin Morillon, Charles E. Schroeder
2015 Annals of the New York Academy of Sciences  
We argue that such "oscillatory temporal predictions" can selectively amplify neuronal sensitivity to inputs that occur in a predicted, taskrelevant rhythm and optimize temporal selection.  ...  Neuronal oscillations are comprised of rhythmic fluctuations of excitability that are synchronized in ensembles of neurons and thus function as temporal filters that dynamically organize sensory processing  ...  Acknowledgments Supported by the Fyssen foundation (B.M.) and by NIH (DC011490) (C.E.S.). We thank our reviewers for their helpful comments on the manuscript.  ... 
doi:10.1111/nyas.12629 pmid:25773613 pmcid:PMC4363099 fatcat:eexglqhk65hqfmjgoctwd4sufu

The Heartbeat of Ecosystems

M. A. Palmer, C. M. Febria
2012 Science  
here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): June 26, 2012 www.sciencemag.org (this information is current as of The following  ...  resources related to this article are available online at  ...  As Woodward et al. show, combinations of structural and functional measurements may be required to predict the state of an ecosystem or availability of a good or service.  ... 
doi:10.1126/science.1223250 pmid:22700910 fatcat:kvcafetnmvgtdnterde3zv2c2q

Convolution Encoders for End-to-end Action Tracking with Space-Time Cubic Kernels

Lin Wang, Xingfu Wang, Ammar Hawbani, Yan Xiong, Xu Zhang
2020 IEEE Access  
To remedy this issue, we extend the convolution kernel with a time dimension and formulate the problem to an encoder-decoder structure, which generates the bounding boxes of action regions for each frame  ...  Most previous Convolution Neural Network (CNN) based video action tracking handle space and time dynamics separately.  ...  Two-stream LSTM [6] stacks multiple LSTM layers in dedication to hierarchical dynamics encoding, i.e. a convolution activation stream and a sub-sampling activation stream, inter-stream communication  ... 
doi:10.1109/access.2020.3012154 fatcat:3fav7x7tgrfbzokjk2s4lra2z4

CSI-SF: Estimating wireless channel state using CSI sampling & fusion

Riccardo Crepaldi, Jeongkeun Lee, Raul Etkin, Sung-Ju Lee, Robin Kravets
2012 2012 Proceedings IEEE INFOCOM  
The MIMO channel is described with fine granularity by Channel State Information (CSI) that can be utilized in various ways to maximize the network performance.  ...  For instance, we predict CSI of multiple stream settings using CSI obtained only from single stream packets.  ...  Finally, in most WLAN deployments, dynamic transmission power is used in combination with rate control to reduce power consumption.  ... 
doi:10.1109/infcom.2012.6195523 dblp:conf/infocom/CrepaldiLELK12 fatcat:klyvwhijfraz3fgwpkjt7grcle
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