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A Hybrid Model for Drawing Dynamic and Evolving Graphs [chapter]

Marco Gaertler, Dorothea Wagner
2006 Lecture Notes in Computer Science  
Both methods have their benefits and are often complementary in their use. In this article, we present a hybrid model that combines the two techniques.  ...  Visualizations of dynamically evolving data, for example as part of the data analysis, are typically restricted to a cumulative static view or an animation/sequential view.  ...  This example reflects both that certain groups Conclusion We introduced a hybrid model for drawing dynamic and evolving graphs based on 2.5D visualizations.  ... 
doi:10.1007/11618058_18 fatcat:rfixuoqmfbhsjhc544ixgk5f7i

Temporal Multivariate Networks [chapter]

Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan-Liu Ma, Silvia Miksch, Chris Muelder, Alexandru C. Telea
2014 Lecture Notes in Computer Science  
Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years.  ...  Typically, its the structure of the dynamic graph that evolves as vertices and edges are added or removed from the graph.  ...  Frishman and Tal consider dynamic drawing of clustered graphs [42] and of general graphs [43] .  ... 
doi:10.1007/978-3-319-06793-3_8 fatcat:fdvjfwg4jvathcj2mxchrotv6y

Combining Bond Graphs and Petri Nets Formalism for Modeling Hybrid Dynamic Systems

Mokhtar Bouhalouane, Sekhri Larbi, Hafid Haffaf
2015 Procedia Computer Science  
In this paper, we propose a unified formal based approach coupling Bond graphs and Petri Nets theories to model HDS.  ...  The hybrid nature of complex systems such Hybrid Dynamic Systems (HDS) makes the modeling, analysis and monitoring tasks very challenging.  ...  Modeling hybrid dynamic systems Bond Graph Modeling Bond graph model was developed in 1961 by H. Paynter for continuous systems 3 .  ... 
doi:10.1016/j.procs.2015.07.205 fatcat:kfw3mrqtnngy5ckbuqv2vzzor4

Page 367 of Economic Development and Cultural Change Vol. 43, Issue 2 [page]

1995 Economic Development and Cultural Change  
An instructive example of a dynamic learning model is found in Yacov  ...  be interpreted as the risk, for any farmer, of a plot net return below a given level.  ... 

Delays in Biological Regulatory Networks (BRN) [chapter]

Jamil Ahmad, Adrien Richard, Gilles Bernot, Jean-Paul Comet, Olivier Roux
2006 Lecture Notes in Computer Science  
We then use HyTech for two purposes: (1) to find automatically all paths from a specified initial state to another one and (2) to synthesize constraints on the delay parameters in order to follow any specific  ...  In this article, we propose a refinement of the modeling of genetic regulatory networks based on the approach of René Thomas.  ...  [8] proposed to consider all possible parameterizations, to generate all possible dynamics, to call for each of them a model checker for verification and to select only models which lead to a dynamic  ... 
doi:10.1007/11758525_118 fatcat:wkepdc3hp5dcnm3a3d2sv3yrqe

Bio-Robustness and Fault Tolerance: A New Perspective on Reliable, Survivable and Evolvable Network Systems

Zhanshan Ma, Axel W. Krings
2008 IEEE Aerospace Conference. Proceedings  
Evolutionary game theory, which we present in a relative comprehensive introduction, provides an ideal framework to model the reliability and survivability of computer networks, especially the wireless  ...  With the objective to stimulate inspiration for building reliable and survivable computer networks, this paper reviews the state-of-the-art research on bio-robustness at different biological scales (level  ...  Since the evolutionary game is a hybrid of the continuous static and continuous dynamic (differential games), classical matrix payoff model is not sufficient for the modeling purpose.  ... 
doi:10.1109/aero.2008.4526486 fatcat:ariuonsxfvfgppvzhnwtplffla

Hybrid control of a three-agent network cluster

Carolina Albea, Alexandre Seuret, Luca Zaccarian
2014 53rd IEEE Conference on Decision and Control  
We assume that each agent has a constant computational speed and we build a deterministic hybrid dynamical model of the overall system.  ...  Then, inspired by consensus theory, we propose a centralized control law distributing the computational load among the agents and deciding when to turn on or off each agent, for energy efficiency, while  ...  Hence, we propose a hybrid modeling, which basically gathers the two dynamics in a single model.  ... 
doi:10.1109/cdc.2014.7040218 dblp:conf/cdc/AlbeaSZ14 fatcat:dexot46bq5fajihh4w3f2hq6q4

GraphIn: An Online High Performance Incremental Graph Processing Framework [chapter]

Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey Young, Matthew Wolf, Karsten Schwan
2016 Lecture Notes in Computer Science  
The massive explosion in social networks has led to a significant growth in graph analytics and specifically in dynamic, time-varying graphs.  ...  Our experiments show that for a variety of graph inputs and algorithms, GraphIn achieves up to 9.3 million updates/sec and over 400× speedup when compared to static graph recomputation.  ...  Unlike STINGER which uses a single data structure for both static and dynamic graph analysis, GraphIn uses a hybrid data structure that allows for incremental computation on edge lists and a compressed  ... 
doi:10.1007/978-3-319-43659-3_24 fatcat:ip3ynlf4ozb33o4khogvcz6i3e

Exploratory Topology Modelling of Form-active Hybrid Structures

Anders Holden Deleuran, Mark Pauly, Martin Tamke, Ida Friis Tinning, Mette Ramsgaard Thomsen
2016 Procedia Engineering  
We present a flexible and real-time computational design modelling pipeline developed for the exploratory modelling of FAHS that enables designers and engineers to iteratively construct and manipulate  ...  The development of novel form-active hybrid structures (FAHS) is impeded by a lack of modelling tools that allow for exploratory topology modelling of shaped assemblies.  ...  We wish to thank Gregory Quinn for his feedback, Daniel Piker for involving us in testing Kangaroo2, and research assistants Yuliya Baranovskaya and Danica Pistekova for developing design case studies.  ... 
doi:10.1016/j.proeng.2016.08.008 fatcat:56s5vdbf3nfovpsqgcmdethvxe

Statistical Model Checking for Distributed Probabilistic-Control Hybrid Automata with Smart Grid Applications [chapter]

João Martins, André Platzer, João Leite
2011 Lecture Notes in Computer Science  
In this paper, we argue that a good model for the Smart Grid must match its basic properties: it must be hybrid (both evolve over time, and perform control/computation), distributed (multiple concurrently  ...  We propose Distributed Probabilistic-Control Hybrid Automata (DPCHA) as a model for this purpose, and extend Bounded LTL to Quantified Bounded LTL in order to adapt and apply existing statistical modelchecking  ...  Quantified Differential Dynamic Logic (QdL) [10] also allows a dynamic number of elements and is hybrid, but like Dynamic I/O automata, has a shared-memory communication model.  ... 
doi:10.1007/978-3-642-24559-6_11 fatcat:6g3qectkx5fn7mnla5ir66wl6y

DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation

Sebastien Rufiange, Michael J. McGuffin
2013 IEEE Transactions on Visualization and Computer Graphics  
Abstract-Visualization of dynamically changing networks (graphs) is a significant challenge for researchers.  ...  We present two taxonomies of visualizations of dynamic graphs: one of non-hybrid techniques, and one of hybrid techniques.  ...  ACKNOWLEDGMENTS Thanks to the participants in our study for their time, and to the other members of the HIFIV research group atÉTS for their feedback.  ... 
doi:10.1109/tvcg.2013.149 pmid:24051822 fatcat:7ftpgdi6uverzj7xkkdnb7mvgm

Social Media Anomaly Detection

Yan Liu, Sanjay Chawla
2017 Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17  
Dynamic Graph-based Group Anomaly Detection Evolving networks can also provide insights into the temporal changes of groups.  ...  Graph eigenvector (Idé and Kashima, 2004) 1 Define a time evolving dependency matrix from graphs 2 Extract the principal eigenvector u(t) as the "activity" vector, cost for storing thre where log ⇥  ...  Bipartite graph Application in finding corporate tribes Given bipartite graph G = (R A, E), R = {r i }: the entity representatives, A = {a j } : attributes, E: edges with time annotation.  ... 
doi:10.1145/3018661.3022757 dblp:conf/wsdm/LiuC17 fatcat:5g3nnq33unbyhnumg4vc4dq5oa

Social Media Anomaly Detection

Yan Liu, Sanjay Chawla
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
Dynamic Graph-based Group Anomaly Detection Evolving networks can also provide insights into the temporal changes of groups.  ...  Graph eigenvector (Idé and Kashima, 2004) 1 Define a time evolving dependency matrix from graphs 2 Extract the principal eigenvector u(t) as the "activity" vector, cost for storing thre where log ⇥  ...  Bipartite graph Application in finding corporate tribes Given bipartite graph G = (R A, E), R = {r i }: the entity representatives, A = {a j } : attributes, E: edges with time annotation.  ... 
doi:10.1145/2783258.2789990 dblp:conf/kdd/LiuC15 fatcat:olzczq23gbfgvikba5lbf5jlai

Topics in dynamic research communities: An exploratory study for the field of information retrieval

Erjia Yan, Ying Ding, Staša Milojević, Cassidy R. Sugimoto
2012 Journal of Informetrics  
This paper examines how research topics are mixed and matched in evolving research communities by using a hybrid approach which integrates both topic identification and community detection techniques.  ...  We recommend the use of the hybrid approach to study the dynamic interactions of topics and communities.  ...  The future community detection methods will be focused on the dynamic changes of communities and topics and figure out how important scholars move topics forward.  ... 
doi:10.1016/j.joi.2011.10.001 fatcat:mz7tdj5ocjerzpltiyyeoxogcu

CIS Publication Spotlight [Publication Spotlight]

Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew Soon Ong
2020 IEEE Computational Intelligence Magazine  
The proposed algorithm is a datadriven approach that only uses camera observation of pedestrian flows without explicit models of pedestrian dynamics and HRI.  ...  The robot is able to perform tasks like perturbation recovery, and drawing based on different motor programs generated by the same model.  ... 
doi:10.1109/mci.2020.3019871 fatcat:icdr7pp7grbqhoxlzjlwps2ro4
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