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Bipartite Link Prediction by Intra-class Connection based Triadic Closure

Jungwoon Shin, Keonwoo Kim, Donghyeon Park, Sunkyu Kim, Jaewoo Kang
2020 IEEE Access  
INDEX TERMS Link prediction, bipartite networks, intra-class connection, triadic closure. 140194 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  In this paper, we introduce Intra-class Connection based Triadic Closure (ICTC) which is a method that can use triadic closure even when the nodes in the same set are unconnected.  ...  In this work, we introduce our method Intra-class Connection based Triadic Closure (ICTC).  ... 
doi:10.1109/access.2020.3010223 fatcat:wjb2xmc5erbideymevalvzvj2e

Antigovernment Networks in Civil Conflicts: How Network Structures Affect Conflictual Behavior

Nils W. Metternich, Cassy Dorff, Max Gallop, Simon Weschle, Michael D. Ward
2013 American Journal of Political Science  
A triadic closure is established if actors i, j, and k are connected by links a ij , a ik , and a jk forming a triangular relationship.  ...  Right panel displays values of λ min conditional on the number of triadic closures and the number of links in a network.  ... 
doi:10.1111/ajps.12039 fatcat:z3hj76rgorgarjshfellsauliy

Determinants of Cross-Regional R&D Collaboration Networks: An Application of Exponential Random Graph Models [chapter]

Tom Broekel, Matté Hartog
2013 Advances in Spatial Science  
It is shown that in addition to determinants at the node and dyad level, the structural network level determinant "triadic closure" helps in explaining the structure of the network.  ...  That is, regions that are indirectly linked to each other are more likely to be directly linked as well.  ...  Triadic closure predicts that partners of organizations are likely to become partners themselves as well.  ... 
doi:10.1007/978-3-319-02699-2_4 fatcat:ub3c5cq6gzbb5f5l2n6y2d5b2e

The role of motifs in understanding behavior in social and engineered networks

Kun Tu, Dave Braines, Diane Felmlee, Don Towsley, Roger Whitaker, Liam Turner, James Llinas, Timothy P. Hanratty
2018 Next-Generation Analyst VI  
Here motifs are sub-graphs that occur more frequently than would be explained by random connections.  ...  Graphs can be used to model internal network structures of human groups, or links between groups, with group dynamics being governed by these structures.  ...  ACKNOWLEDGMENTS This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence under Agreement Numbers W911NF-06-3-0001 and W911NF-16-3-0001.  ... 
doi:10.1117/12.2309471 fatcat:jhxdvhouxvdxhpiclqzianju2i

Using strong triadic closure to characterize ties in social networks

Stavros Sintos, Panayiotis Tsaparas
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
In this paper, we use the principle of Strong Triadic Closure to characterize the strength of relationships in social networks.  ...  We consider the problem of labeling the ties of a social network as strong or weak so as to enforce the Strong Triadic Closure property.  ...  Definition 1 ( 1 Strong Triadic Closure).  ... 
doi:10.1145/2623330.2623664 dblp:conf/kdd/SintosT14 fatcat:cwilpralvvdopmazcojpppovpa

The Many Faces of Link Fraud [article]

Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
2017 arXiv   pre-print
We discuss how to leverage our insights in practice by engineering strongly performing entropy-based features and demonstrating high classification accuracy.  ...  Most past work on social network link fraud detection tries to separate genuine users from fraudsters, implicitly assuming that there is only one type of fraudulent behavior.  ...  versus link-based fraud targeting.  ... 
arXiv:1704.01420v3 fatcat:o5f2u363nbbrtklyee6qbdda7u

Networks beyond pairwise interactions: Structure and dynamics

Federico Battiston, Giulia Cencetti, Iacopo Iacopini, Vito Latora, Maxime Lucas, Alice Patania, Jean-Gabriel Young, Giovanni Petri
2020 Physics reports  
Over the past decades, a variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links.  ...  However, a mounting body of evidence is showing that taking the higher-order structure of these systems into account can enhance our modeling capacities and help us understand and predict their dynamical  ...  Triadic closure and clustering coefficient A key concept in network analysis for going beyond node-related measures is triadic closure.  ... 
doi:10.1016/j.physrep.2020.05.004 fatcat:pkugz4i5obainmcrwod6i4od7q

Networks beyond pairwise interactions: structure and dynamics [article]

Federico Battiston, Giulia Cencetti, Iacopo Iacopini, Vito Latora, Maxime Lucas, Alice Patania, Jean-Gabriel Young, Giovanni Petri
2020 arXiv   pre-print
Over the past decades, a great variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links.  ...  However, a mounting body of evidence is showing that taking the higher-order structure of these systems into account can greatly enhance our modeling capacities and help us to understand and predict their  ...  Triadic closure and clustering coefficient A key concept in network analysis for going beyond node-related measures is triadic closure.  ... 
arXiv:2006.01764v1 fatcat:h4ezvequxrbyrozpjbb6lbqhj4

Friendship prediction and homophily in social media

Luca Maria Aiello, Alain Barrat, Rossano Schifanella, Ciro Cattuto, Benjamin Markines, Filippo Menczer
2012 ACM Transactions on the Web  
When combined with topological features, topical similarity achieves a link prediction accuracy of about 92%.  ...  of social links.  ...  This work has been partly supported by the project Social Integration of Semantic Annotation Networks for Web Applications funded by National Science Foundation award IIS-0811994 and by the Italian Ministry  ... 
doi:10.1145/2180861.2180866 fatcat:436ww2r7mzdejdklddxocqmoca

Dynamics on higher-order networks: A review [article]

Soumen Majhi, Matjaz Perc, Dibakar Ghosh
2022 arXiv   pre-print
Higher-order networks, where a link can connect more than two nodes, have therefore emerged as a new frontier in network science.  ...  But recent research has identified limits of classical networks, where links connect pairs of nodes, to comprehensively describe group interactions.  ...  Furthermore, relation between the geometry of a network and diffusion dynamics is unraveled [125] based on the investigation of two family of models, namely NGF and 'Short-Range Triadic Closure (STC)  ... 
arXiv:2203.06601v1 fatcat:xejgymephzerzkmxganlnn5ts4

The science of science: From the perspective of complex systems

An Zeng, Zhesi Shen, Jianlin Zhou, Jinshan Wu, Ying Fan, Yougui Wang, H. Eugene Stanley
2017 Physics reports  
The science of science (SOS) is a rapidly developing field which aims to understand, quantify and predict scientific research and the resulting outcomes.  ...  Progress on SOS will lead to better solutions for many challenging issues, ranging from the selection of candidate faculty members by a university to the development of research fields to which a country  ...  This work was supported by the National Natural Science  ... 
doi:10.1016/j.physrep.2017.10.001 fatcat:fo35nfw2yna6nlgzl4ywtffhyu

A survey on Human Mobility and its applications [article]

Fereshteh Asgari, Vincent Gauthier, Monique Becker
2013 arXiv   pre-print
to model this individual movements and make prediction based on them.  ...  Human Mobility has attracted attentions from different fields of studies such as epidemic modeling, traffic engineering, traffic prediction and urban planning.  ...  Instead, it was observed that links arising because of triadic closure, where users form new ties with friends of existing friends, and because of common focus, where connections arise among users visiting  ... 
arXiv:1307.0814v1 fatcat:w5knhid3wzhpvakbpezwudm5ie

Data mining of social networks represented as graphs

David F. Nettleton
2013 Computer Science Review  
Acknowledgement This research is partially supported by the Spanish MEC (project HIPERGRAPH TIN2009-14560-C03-01). R E F E R E N C E S  ...  Some key structures looked for were triadic closures, cyclic and focal closures.  ...  This graph consists of several fully intra-connected sub graphs in which the sub graphs are not inter-connected.  ... 
doi:10.1016/j.cosrev.2012.12.001 fatcat:gcf6hydflzhajpo65miv2edcla

The Application of Social Network Analysis to Accounting and Auditing

Slobodan KACANSKI, Dean LUSHER
2017 International Journal of Academic Research in Accounting, Finance and Management Sciences  
The way in which intra-group relationships operate in the contexts of accounting and auditing have not yet been investigated nor used as the method for approaching the inner processes which determine the  ...  Recently, scholars have developed a particular class of statistical network models that integrate the concept of interdependency inside the model (Wasserman and Pattison, 1996; Robins et al., 2007; , and  ...  A bipartite network is composed of two different groups of actors and the ties connecting them.  ... 
doi:10.6007/ijarafms/v7-i3/3286 fatcat:sudvi2z7lffxvkpa4jpimpxpku

CORPORATE NETWORKS OF INTERNATIONAL INVESTMENT AND TRADE

Matthew Smith
2017 Figshare  
The triadic parameters in the network point towards the tendency for hierarchical trading configurations; with the positive and significant transitive closure and negative (yet nonsignificant) cyclic closure  ...  These two levels are then linked by a firm-country affiliation level (or a meso level as defined by House et al 1995) , which is made up of ties linking firms to countries, such as where they are based  ...  For instance, Nodematch Region would capture whether there is a tendency for intra-regional trade.  ... 
doi:10.6084/m9.figshare.5401822.v1 fatcat:2jf5ihwqhrg2hkrijqjoqw36ea
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