Time-Dependent Influence Measurement in Citation Networks
In every scientific discipline, researchers face two common dilemmas: where to find bleeding-edge papers and where to publish their own articles. We propose to answer these questions by looking at the influence between communities, e.g. conferences or journals. The influential conferences are those...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2018-12-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
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| Online Access: | https://csimq-journals.rtu.lv/article/view/2521 |
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| author | Monika Ewa Rakoczy Amel Bouzeghoub Alda Lopes Gancarski Katarzyna Wegrzyn-Wolska |
| author_facet | Monika Ewa Rakoczy Amel Bouzeghoub Alda Lopes Gancarski Katarzyna Wegrzyn-Wolska |
| author_sort | Monika Ewa Rakoczy |
| collection | DOAJ |
| description | In every scientific discipline, researchers face two common dilemmas: where to find bleeding-edge papers and where to publish their own articles. We propose to answer these questions by looking at the influence between communities, e.g. conferences or journals. The influential conferences are those which papers are heavily cited by other conferences, i.e. they are visible, significant and inspiring. For the task of finding such influential places-to-publish, we introduce a Running Influence model that aims to discover pairwise influence between communities and evaluate the overall influence of each considered community. We have taken into consideration time aspects such as intensity of papers citations over time and difference of conferences starting years. The community influence analysis is tested on real-world data of Computer Science conferences. |
| format | Article |
| id | doaj-art-76ae3e534fd14845bb316c083827cd1b |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2018-12-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-76ae3e534fd14845bb316c083827cd1b2025-02-03T12:03:20ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222018-12-01017244310.7250/csimq.2018-17.021294Time-Dependent Influence Measurement in Citation NetworksMonika Ewa Rakoczy0Amel Bouzeghoub1Alda Lopes Gancarski2Katarzyna Wegrzyn-Wolska3SAMOVAR, CNRS, Telecom SudParis, 9 Rue Charles Fourier, EvrySAMOVAR, CNRS, Telecom SudParis, 9 Rue Charles Fourier, EvrySAMOVAR, CNRS, Telecom SudParis, 9 Rue Charles Fourier, EvryEfrei Paris, 30 Avenue de la Republique, 94800 VillejuifIn every scientific discipline, researchers face two common dilemmas: where to find bleeding-edge papers and where to publish their own articles. We propose to answer these questions by looking at the influence between communities, e.g. conferences or journals. The influential conferences are those which papers are heavily cited by other conferences, i.e. they are visible, significant and inspiring. For the task of finding such influential places-to-publish, we introduce a Running Influence model that aims to discover pairwise influence between communities and evaluate the overall influence of each considered community. We have taken into consideration time aspects such as intensity of papers citations over time and difference of conferences starting years. The community influence analysis is tested on real-world data of Computer Science conferences.https://csimq-journals.rtu.lv/article/view/2521InfluenceInfluence EstimationCitation NetworksSocial NetworksGranger causality |
| spellingShingle | Monika Ewa Rakoczy Amel Bouzeghoub Alda Lopes Gancarski Katarzyna Wegrzyn-Wolska Time-Dependent Influence Measurement in Citation Networks Complex Systems Informatics and Modeling Quarterly Influence Influence Estimation Citation Networks Social Networks Granger causality |
| title | Time-Dependent Influence Measurement in Citation Networks |
| title_full | Time-Dependent Influence Measurement in Citation Networks |
| title_fullStr | Time-Dependent Influence Measurement in Citation Networks |
| title_full_unstemmed | Time-Dependent Influence Measurement in Citation Networks |
| title_short | Time-Dependent Influence Measurement in Citation Networks |
| title_sort | time dependent influence measurement in citation networks |
| topic | Influence Influence Estimation Citation Networks Social Networks Granger causality |
| url | https://csimq-journals.rtu.lv/article/view/2521 |
| work_keys_str_mv | AT monikaewarakoczy timedependentinfluencemeasurementincitationnetworks AT amelbouzeghoub timedependentinfluencemeasurementincitationnetworks AT aldalopesgancarski timedependentinfluencemeasurementincitationnetworks AT katarzynawegrzynwolska timedependentinfluencemeasurementincitationnetworks |