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Discovery of Superconductivity in (Ba,K)SbO_3 [article]

Minu Kim, Graham M. McNally, Hun-Ho Kim, Mohamed Oudah, Alexandra Gibbs, Pascal Manuel, Robert Green, Tomohiro Takayama, Alexander Yaresko, Ulrich Wedig, Masahiko Isobe, Reinhard K. Kremer (+3 others)
2021 arXiv   pre-print
As the CDW order is suppressed via potassium substitution up to 65 T_c = 15 K.  ...  role in constituting a CDW and high-T_c superconductivity in the main-group perovskite oxides.  ...  In order to shed light on the effects that varying ∆CT has on the electronic structure, the band structures of BKSO as well as BKBO are calculated via the hybrid-DFT method 14 , as shown in The distinct  ... 
arXiv:2107.06596v1 fatcat:cv3pn2i6wzgxfmzfvcp4lmnxfy

A Survey on Role-Oriented Network Embedding [article]

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
2021 arXiv   pre-print
In order to preserve the role-based structural similarity, the problem of role-oriented NE is raised.  ...  Moreover, we conduct comprehensive experiments to empirically evaluate these methods on a variety of role-related tasks including node classification and clustering (role discovery), top-k similarity search  ...  However, for role discovery, the embeddings should reflect some structural patterns including local properties like subgraph isomorphism, global properties like regular equivalence and higher-order properties  ... 
arXiv:2107.08379v1 fatcat:hoiso2ugyrdermzcafrscitsfq

Not Only Degree Matters: Diffusion-Driven Role Recognition

Susanna Pozzoli, Sarunas Girdzijauskas
2022 Open Challenges in Online Social Networks  
Then, we compute the distance between them via Dynamic Time Warping (DTW) and assign a given number of roles by running k-means.  ...  Many role discovery algorithms explicitly or implicitly regard the degree as the most discriminating node feature.  ...  In this higher-order network, the weight of the edge between two nodes in the k th layer is proportional to the structural similarity between them, computed as the distance between the degree distributions  ... 
doi:10.1145/3524010.3539497 fatcat:nla72btuyzhijayo6shg5aqepe

A hybrid evolutionary algorithm based on ACO and SA for distribution feeder reconfiguration

J Olamaei, A Arefi, A H Mazinan, T Niknam
2010 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)  
An effective hierarchy-guided community discovery method, FCMiner, is proposed, based on greedy heuristic-based edge enumeration.  ...  Experiments are conducted with three hierarchy discovery methods; namely, agony minimization, greedy heuristic edge enumeration, and optimum branching.  ...  Higher the rank of the edge in order, higher the strength of that edge. 1. if the order is (u,v),(v,w),(u,w), Algorithm 2, will assign the vertexes u,v,w levels 0,1,2 respectively and the concise representation  ... 
doi:10.1109/iccae.2010.5451699 fatcat:xtkq7vrlzvd33ft2wysg7q2jny

Dominating set based bluetooth scatternet formation with localized maintenance

I. Stojmenovic
2002 Proceedings 16th International Parallel and Distributed Processing Symposium  
In the last phase, master-slave relations are created by applying higher degree priority (with dominating set membership as the primary key).  ...  In the second phase, the degree of each node is limited to 7 by applying Yao subgraph construct simultaneously on all nodes with excessive degree, followed by either elimination of directed edges or the  ...  Following well-known algorithm, each edge in the sorted order is added to the MST if its addition does not create a cycle together with previously added edges.  ... 
doi:10.1109/ipdps.2002.1016541 dblp:conf/ipps/Stojmenovic02 fatcat:y2z45btrabcspnrf46gv6i2sve

Learning Structural Node Embeddings via Diffusion Wavelets

Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18  
Nodes residing in different parts of a graph can have similar structural roles within their local network topology.  ...  Experiments in a variety of different settings demonstrate GraphWave's real-world potential for capturing structural roles in networks, and our approach outperforms existing state-of-the-art baselines  ...  INTRODUCTION Structural role discovery in graphs focuses on identifying nodes which have topologically similar network neighborhoods while residing in potentially distant areas of the network (Figure  ... 
doi:10.1145/3219819.3220025 dblp:conf/kdd/DonnatZHL18 fatcat:a6s64leguvfytfbpqyjqw4rgna

Partial Delaunay triangulation and degree limited localized Bluetooth scatternet formation

X.-Y. Li, I. Stojmenovic, Y. Wang
2004 IEEE Transactions on Parallel and Distributed Systems  
In each iteration, undecided nodes with higher keys than any of their undecided neighbors apply the Yao structure to bound the degrees, decide masterslave relations on the remaining edges, and inform all  ...  neighbors about either deleting edges or master-slave decisions.  ...  Sort all edges uv of the unit graph, P DT , GG, or RNG according to these weights in the increasing order. The algorithm that constructs MST adds edges in the sorted order.  ... 
doi:10.1109/tpds.2004.1271184 fatcat:l3r4unyxsbb2pdekmszii7ycra

Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs [article]

Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P Barrett
2022 arXiv   pre-print
We demonstrate the effect of these inherent structural imbalances, resulting in densely-connected entities being highly ranked no matter the context.  ...  Adoption of recently developed methods from machine learning has given rise to creation of drug-discovery knowledge graphs (KG) that utilize the interconnected nature of the domain.  ...  This is important to consider as it could be trivial for a model to learn that if a gene-disease pair are linked via an up-or down-regulates edge, then they should also be linked via an associates edge  ... 
arXiv:2112.06567v2 fatcat:cfdwzkoy4rglflz2zpwvxjaoum

Risk management for distributed authorization

Christian Skalka, X. Sean Wang, Peter Chapin
2007 Journal of Computer Security  
The same nodes are later mutated to reflect newly discovered graph structure, via propagater and monitor functions, that invoke each other in chains reflecting discovered graph edge structure.  ...  Solution monitors propagate solution elements (A, κ) forward along discovered edges, aggregating edge risks as they go; their control flow structure mimics the discovered graph structure.  ...  As described in the text, the implementation is in a procedural style, but exploits higher order functions and types available in OCaml.  ... 
doi:10.3233/jcs-2007-15402 fatcat:4ffrrvprtzgt3f5jyqnpb6wx7a

Maximising electronic journals in small to medium-sized institutions

Sue Roberts
2001 Serials: The Journal for the Serials Community  
The following modes have been implemented across various subject areas at Edge Hill: • electronic journals/collections on reading lists; • resource discovery encouraged; • sections in module handbooks;  ...  This article focuses on the sea change that has occurred in one such organisation ± Edge Hill, a Higher Education Institution in the North West of England ± with the introduction and proactive development  ... 
doi:10.1629/1433 fatcat:xxld2fzc5vhudk5tocaa4lw27i

The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs [article]

Eoghan Cunningham, Derek Greene
2022 arXiv   pre-print
Role discovery is the task of dividing the set of nodes on a graph into classes of structurally similar roles.  ...  Modern strategies for role discovery typically rely on graph embedding techniques, which are capable of recognising complex local structures.  ...  Combinations of graphlets could be highly effective in modelling higher-order, more complex graph structures.  ... 
arXiv:2206.03159v1 fatcat:hnjrcjnmmbc4zbmwskuk76xqle

Simultaneous detection of communities and roles from large networks

Yiye Ruan, Srinivasan Parthasarathy
2014 Proceedings of the second edition of the ACM conference on Online social networks - COSN '14  
Community detection and structural role detection are two distinct but closely-related perspectives in network analytics.  ...  Roles and communities generated by RC-Joint are both soft assignments, reflecting the fact that many real-world networks have overlapping community structures and role memberships.  ...  Therefore, higher community affiliation scores lead to higher edge multiplicity, and in terms of unweighted edge, higher possibility of observing the edge.  ... 
doi:10.1145/2660460.2660482 dblp:conf/cosn/RuanP14 fatcat:xt22n6zsqbfghirwlq3c5ce7gi

Finding and Characterizing Communities in Multidimensional Networks

Michele Berlingerio, Michele Coscia, Fosca Giannotti
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
In this context, the problem of Community Discovery has to be redefined, taking into account multidimensionality.  ...  One problem studied so far in complex network analysis is Community Discovery, i.e. the detection of group of nodes densely connected, or highly related.  ...  In order to do so, the connections among the nodes of a network are posed at the center of investigation, since they play a key role in the study of the network structure, evolution, and behavior.  ... 
doi:10.1109/asonam.2011.104 dblp:conf/asunam/BerlingerioCG11 fatcat:r6c3jzrocrabtedbx7ve4v6ida

From Information Networks to Bisociative Information Networks [chapter]

Tobias Kötter, Michael R. Berthold
2012 Lecture Notes in Computer Science  
This kind of network combines the key properties of existing networks in order to provide the foundation for bisociative knowledge discoveries.  ...  Information networks, due to their flexible data structure, lend themselves perfectly to the integration of these heterogeneous data sources.  ...  Edges that connect vertices with a low degree have a higher rarity score than edges that connect vertices with a high degree. Vertices and edges have a type assigned describing their nature.  ... 
doi:10.1007/978-3-642-31830-6_3 fatcat:tqjmyg6pevhcncgfaspvymzaby

Topological Centrality and Its Applications [article]

Hai Zhuge, Junsheng Zhang
2009 arXiv   pre-print
Recent development of network structure analysis shows that it plays an important role in characterizing complex system of many branches of sciences.  ...  Different from previous network centrality measures, this paper proposes the notion of topological centrality (TC) reflecting the topological positions of nodes and edges in general networks, and proposes  ...  If two nodes of an edge have higher TC degrees, then the edge has higher TC; and, if an edge has higher TC, then its two nodes also have higher TC degrees.  ... 
arXiv:0902.1911v1 fatcat:dq56yg5qrzfl7dpjdex5sc74vy
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