A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Modular completeness for Communication Closed Layers
[chapter]
1993
Lecture Notes in Computer Science
Preserved Fulltext
The Communication Closed Layers law is shown to be modular complete for a model related to that of Mazurkiewicz. ...
Within a non-modular set-up the CCL rule can be derived however from a simpler independence rule and an analog of the expansion rule for process algebras. ...
Introduction In an earlier paper JPZ91] a formulation of the principle of communication closed layers EF82] by means of an algebraic rule was proposed. ...
doi:10.1007/3-540-57208-2_5
fatcat:jofxmcw2j5ccthc5lagfecwanu
Unspoken Assumptions in Multi-layer Modularity maximization
2020
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We propose different models for multi-layer communities in multiplex and time-dependent networks and test if they are recoverable by modularity-maximization community detection methods under any assignment ...
A principled approach to recover communities in social networks is to find a clustering of the network nodes into modules (i.e groups of nodes) for which the modularity over the network is maximal. ...
We thank Luca Rossi for useful discussions which contributed significantly to improving the content of this paper. Open access funding provided by Uppsala University. ...
doi:10.1038/s41598-020-66956-0
pmid:32632217
fatcat:6urvfgaws5h3bn7rxkevlffhre
Functional brain modules reconfigure at multiple scales across the human lifespan
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Here we use graph-theoretic analysis to algorithmically uncover the brain's intrinsic modular organization across multiple spatial scales ranging from small communities comprised of only a few brain regions ...
to large communities made up of many regions. ...
For each multi-layer network in the ensemble we maximized a multi-layer modularity function in order to obtain community assignments for brain regions across layers. ...
arXiv:1510.08045v1
fatcat:2yl5qkdvajb4xdsttbz5bvtpom
A New Type of Industrial Robot Trajectory Generation Component Based on Motion Modularity Technology
2020
Journal of Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Motion modularity is the main method of motion control for higher animals. ...
This work constructs a modularized industrial robot trajectory generation component based on Dynamic Movement Primitives (DMP) theory. ...
Since the communication layer is a real-time component, the closed-loop control of the manipulator is also carried out in this layer. ...
doi:10.1155/2020/3196983
fatcat:3qeacbkhcvhi7dngpse63tgalq
Community detection in directed acyclic graphs
2015
European Physical Journal B : Condensed Matter Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Other Versions
To detect communities in DAGs, we propose a modularity for DAGs by defining an appropriate null model (i.e., randomized network) respecting the order of nodes. ...
We find that the attained values of the modularity for DAGs are similar for partitions that we obtain by maximizing the proposed modularity (designed for DAGs), the modularity for undirected networks and ...
Modularity Communities detected through modularity maximization depend on the null network model that serves as a baseline for defining the modularity. ...
doi:10.1140/epjb/e2015-60226-y
fatcat:iead5esbajauvfrhqp7qrksjae
Modularities maximization in multiplex network analysis using Many-Objective Optimization
2016
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
For this apply Evolutionary Many Objective Optimization and compute the Pareto fronts between different modularity layers. ...
As a case study, we compute the Pareto fronts for model problems and for economic data sets in order to show how to find the network modularity tradeoffs between different layers. ...
Acknowledgements: Asep Maulana greatfully acknowledges financial support by the Indonesian Endowment Fund for Education (LPDP). ...
doi:10.1109/ssci.2016.7850231
dblp:conf/ssci/MaulanaGGYE16
fatcat:4v2axjhkvnfdzo6jaapc4ivgf4
Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Perspective
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Hidden community is a new graph-theoretical concept recently proposed [4], in which the authors also propose a meta-approach called HICODE (Hidden Community Detection) for detecting hidden communities. ...
Our work builds a solid theoretical base for HICODE, demonstrating that it is promising in uncovering both weak and strong layers of communities in two-layer networks. ...
that members in that community are more closely connected. ...
arXiv:2001.05919v2
fatcat:36s6bf5ourb2xdslkpfecmer7i
A modular sensornet architecture
2007
ACM SIGBED Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The importance of innovation and flexibility, particularly at the higher layers of the stack, coupled with the limited support for these needs provided by a modular approach, render a completely modular ...
After the link abstraction has been completed, the feedback from the initial version of NLA will be used to design the next-generation modular network layer. ...
doi:10.1145/1317103.1317112
fatcat:mb6gsx5gmvhrvgeacjmbrapzzy
Structure Amplification on Multi-layer Stochastic Block Models
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Network analysis tools have been successful at uncovering latent structure termed communities in such networks. ...
In this work, we conduct a comprehensive and systematic theoretical analysis on the hidden community structure. ...
We demonstrate that for any partition very close to l 2 (l 1 ), its modularity is less than the modularity of l 2 (l 1 ). We define "close partitions" as follows: Definition 9 (Close Partitions.) ...
arXiv:2108.00127v1
fatcat:lq23aq3dsravpf6joc2ow3i44m
Relating modularity maximization and stochastic block models in multilayer networks
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Two of the most popular approaches for community detection are to maximize an objective function called "modularity" and to perform statistical inference using stochastic block models. ...
We consider cases in which the key parameters are constant, as well as ones in which they vary across layers; in the latter case, this yields a novel, layer-weighted version of the modularity function. ...
This implies that layers with strong community structure (i.e., t close to 0) get a larger weight when maximizing multilayer modularity than layers in which the community structure is weak (i.e., t close ...
arXiv:1804.01964v2
fatcat:onahssex2rgjrjbvlbsadsjm6e
High-Modularity Network Generation Model Based on the Muitilayer Network
2017
Transactions of the Japanese society for artificial intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a high-modularity network generation model by layer aggregation based on a multilayer network. ...
A synthesized network in our model has either a community structure or a high-modularity structure. ...
Considering a coauthorship network, communities in different layers are built up with the CNN model and the complete network. ...
doi:10.1527/tjsai.b-h42
fatcat:szoplbpsi5ajvgn67mkurugx2u
Detecting local processing unit in drosophila brain by using network theory
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Furthermore, layer structures in fan-shaped body (FB) were observed which coincided with the images shot by the optical devices, and a total of 13 communities were proven closely related to FB. ...
brain. 26 communities consistent with the known LPUs, and 13 subdivisions were found. ...
Figure 10 . 10 13 communities closely related to FB.
Figure 9 . 9 Layer structures in FB.
Figure 8 . 8 (1) Subdivisions in FB; (2) Subdivisions in MB (mb). ...
arXiv:1512.08339v1
fatcat:svfssvda2fe7birf5kj6fix4o4
Modularity in complex multilayer networks with multiple aspects: a static perspective
2017
Applied Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Acknowledgements We would like to thank Sun Yat-sen Memorial Hospital for providing EEG data. ...
This work was supported by NSFC (Nos. 61502543, 61573387), Guangdong Natural Science Funds for Distinguished Young Scholar (2016A030306014), NSF through Grants III-1526499, and CNS-1115234. ...
Existing evaluation metrics for community detection in multilayer networks As one of the most concerned issues in network analysis, community detection aims at partitioning the network into groups of closely ...
doi:10.1186/s40535-017-0035-4
fatcat:2nqie3ao4jfohbjotojjuj7z3y
Multiple-Membership Communities Detection and Its Applications for Mobile Networks
[chapter]
2011
Applications of Digital Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
For example, in case of mobile networks the social relations are partly reflected in different interaction layers, such as phone and SMS communications recorded in call-logs, people "closeness" extracted ...
on the network synchronization with closely related Laplacians. ...
Multiple-Membership Communities Detection and Its Applications for Mobile Networks, Applications of Digital Signal Processing, Dr. ...
doi:10.5772/26469
fatcat:6kj35lpjovfdbbhxa5fiacepma
Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We also propose a spectral method called mSpec for the optimization of the proposed modularity function based on the supra-adjacency representation of the multilayer networks. ...
It enables us to better understand the essence of the modularity by pointing out the specific kind of communities that will lead to a high modularity score. ...
ACKNOWLEDGEMENTS We'd like to thank Sun Yat-sen Memorial Hospital for providing EEG data. ...
arXiv:1605.06190v1
fatcat:nqek65jqkveahfgx27kftkog5m
« Previous
Showing results 1 — 15 out of 62,367 results