The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam tahun-tahun kebelakangan ini, dengan perkembangan pesat Internet dan pengkomputeran awan, sejumlah besar maklumat ditukar pada pelbagai perkhidmatan rangkaian sosial. Untuk mengendalikan dan mengekalkan segunung maklumat sedemikian dengan betul oleh sumber terhad dalam rangkaian, adalah sangat penting untuk memahami dinamik untuk penyebaran maklumat atau aktiviti di rangkaian sosial. Salah satu daripada banyak indeks yang digunakan oleh analisis rangkaian sosial yang menyiasat struktur rangkaian ialah "kepusatan nod". Ciri umum pemusatan nod konvensional ialah ia bergantung kepada struktur topologi rangkaian dan nilai pemusatan nod tidak berubah melainkan perubahan topologi. Dinamik rangkaian dijana oleh interaksi antara pengguna yang kekuatannya tidak simetri secara umum. Struktur rangkaian yang mencerminkan interaksi asimetri antara pengguna dimodelkan oleh graf terarah, dan ia diterangkan oleh matriks asimetri dalam model rangkaian berasaskan matriks. Dalam makalah ini, kami menunjukkan model ayunan untuk menerangkan dinamik pada rangkaian yang dihasilkan daripada jenis interaksi asimetri tertentu antara nod dengan menggunakan matriks simetri. Selain itu, kami mencadangkan indeks lanjutan baharu bagi dua pusat nod yang terkenal berdasarkan model ayunan. Di samping itu, kami menunjukkan bahawa indeks yang dicadangkan boleh menerangkan pelbagai aspek pemusatan nod yang mempertimbangkan bukan sahaja struktur topologi rangkaian, tetapi juga asimetri pautan, taburan nod sumber aktiviti, dan evolusi temporal penyebaran aktiviti dengan menetapkan dengan betul. berat setiap pautan. Model yang dicadangkan dianggap sebagai rangka kerja asas untuk pemusatan nod yang berbeza.
Chisa TAKANO
Hiroshima City University
Masaki AIDA
Tokyo Metropolitan University
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Salinan
Chisa TAKANO, Masaki AIDA, "Revealing of the Underlying Mechanism of Different Node Centralities Based on Oscillation Dynamics on Networks" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 8, pp. 1820-1832, August 2018, doi: 10.1587/transcom.2017EBP3370.
Abstract: In recent years, with the rapid development of the Internet and cloud computing, an enormous amount of information is exchanged on various social networking services. In order to handle and maintain such a mountain of information properly by limited resources in the network, it is very important to comprehend the dynamics for propagation of information or activity on the social network. One of many indices used by social network analysis which investigates the network structure is “node centrality”. A common characteristic of conventional node centralities is that it depends on the topological structure of network and the value of node centrality does not change unless the topology changes. The network dynamics is generated by interaction between users whose strength is asymmetric in general. Network structure reflecting the asymmetric interaction between users is modeled by a directed graph, and it is described by an asymmetric matrix in matrix-based network model. In this paper, we showed an oscillation model for describing dynamics on networks generated from a certain kind of asymmetric interaction between nodes by using a symmetric matrix. Moreover, we propose a new extended index of well-known two node centralities based on the oscillation model. In addition, we show that the proposed index can describe various aspect of node centrality that considers not only the topological structure of the network, but also asymmetry of links, the distribution of source node of activity, and temporal evolution of activity propagation by properly assigning the weight of each link. The proposed model is regarded as the fundamental framework for different node centralities.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3370/_p
Salinan
@ARTICLE{e101-b_8_1820,
author={Chisa TAKANO, Masaki AIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Revealing of the Underlying Mechanism of Different Node Centralities Based on Oscillation Dynamics on Networks},
year={2018},
volume={E101-B},
number={8},
pages={1820-1832},
abstract={In recent years, with the rapid development of the Internet and cloud computing, an enormous amount of information is exchanged on various social networking services. In order to handle and maintain such a mountain of information properly by limited resources in the network, it is very important to comprehend the dynamics for propagation of information or activity on the social network. One of many indices used by social network analysis which investigates the network structure is “node centrality”. A common characteristic of conventional node centralities is that it depends on the topological structure of network and the value of node centrality does not change unless the topology changes. The network dynamics is generated by interaction between users whose strength is asymmetric in general. Network structure reflecting the asymmetric interaction between users is modeled by a directed graph, and it is described by an asymmetric matrix in matrix-based network model. In this paper, we showed an oscillation model for describing dynamics on networks generated from a certain kind of asymmetric interaction between nodes by using a symmetric matrix. Moreover, we propose a new extended index of well-known two node centralities based on the oscillation model. In addition, we show that the proposed index can describe various aspect of node centrality that considers not only the topological structure of the network, but also asymmetry of links, the distribution of source node of activity, and temporal evolution of activity propagation by properly assigning the weight of each link. The proposed model is regarded as the fundamental framework for different node centralities.},
keywords={},
doi={10.1587/transcom.2017EBP3370},
ISSN={1745-1345},
month={August},}
Salinan
TY - JOUR
TI - Revealing of the Underlying Mechanism of Different Node Centralities Based on Oscillation Dynamics on Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1820
EP - 1832
AU - Chisa TAKANO
AU - Masaki AIDA
PY - 2018
DO - 10.1587/transcom.2017EBP3370
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2018
AB - In recent years, with the rapid development of the Internet and cloud computing, an enormous amount of information is exchanged on various social networking services. In order to handle and maintain such a mountain of information properly by limited resources in the network, it is very important to comprehend the dynamics for propagation of information or activity on the social network. One of many indices used by social network analysis which investigates the network structure is “node centrality”. A common characteristic of conventional node centralities is that it depends on the topological structure of network and the value of node centrality does not change unless the topology changes. The network dynamics is generated by interaction between users whose strength is asymmetric in general. Network structure reflecting the asymmetric interaction between users is modeled by a directed graph, and it is described by an asymmetric matrix in matrix-based network model. In this paper, we showed an oscillation model for describing dynamics on networks generated from a certain kind of asymmetric interaction between nodes by using a symmetric matrix. Moreover, we propose a new extended index of well-known two node centralities based on the oscillation model. In addition, we show that the proposed index can describe various aspect of node centrality that considers not only the topological structure of the network, but also asymmetry of links, the distribution of source node of activity, and temporal evolution of activity propagation by properly assigning the weight of each link. The proposed model is regarded as the fundamental framework for different node centralities.
ER -