Are we friends or enemies? let's ask thy neighbour!

Roshni Chakraborty, Nilotpal Chakraborty

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

Abstrakt

With the richness of interactions among users emerging through different social media applications, drawing conclusive evidence about the sign of these relations (positive and negative) is receiving significant attention. In this paper, we propose an adaptive link prediction system which tactfully ensembles both local and nonlocal attributes of an edge to predict it's sign while considering the high variance of the network and handling the inherent sparsity of the graph. Experimental validation on signed networks, like Slashdot and Epinions indicate the proposed approach can ensure high significant prediction accuracy when compared with the existing research works.

OriginalsprogEngelsk
Publikationsdato17 mar. 2020
Antal sider2
DOI
StatusUdgivet - 17 mar. 2020
Begivenhed25th International Conference on Intelligent User Interfaces, IUI 2020 - Cagliari, Italien
Varighed: 17 mar. 202020 mar. 2020

Konference

Konference25th International Conference on Intelligent User Interfaces, IUI 2020
Land/OmrådeItalien
ByCagliari
Periode17/03/202020/03/2020
SponsorACM Special Interest Group on Artificial Intelligence (SIGAI), Specialist Interest Group in Computer-Human Interaction of the ACM (SIGCHI)

Bibliografisk note

Publisher Copyright:
© 2020 International Conference on Intelligent User Interfaces, Proceedings IUI. All rights reserved.

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