Home > Research > Publications & Outputs > Exploiting Mobile Social Networks from Temporal...

Electronic data

  • Temporal-Survey

    Rights statement: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 1.25 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Exploiting Mobile Social Networks from Temporal Perspective: A Survey

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Exploiting Mobile Social Networks from Temporal Perspective : A Survey. / Zhou, Huan; Wang, Hui; Wang, Ning; Li, Dawei; Cao, Yue; Li, Xiuhua; Wu, Jie.

In: IEEE Access, Vol. 7, 03.12.2019, p. 180818 - 180834.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zhou, H, Wang, H, Wang, N, Li, D, Cao, Y, Li, X & Wu, J 2019, 'Exploiting Mobile Social Networks from Temporal Perspective: A Survey', IEEE Access, vol. 7, pp. 180818 - 180834. https://doi.org/10.1109/ACCESS.2019.2958951

APA

Zhou, H., Wang, H., Wang, N., Li, D., Cao, Y., Li, X., & Wu, J. (2019). Exploiting Mobile Social Networks from Temporal Perspective: A Survey. IEEE Access, 7, 180818 - 180834. https://doi.org/10.1109/ACCESS.2019.2958951

Vancouver

Zhou H, Wang H, Wang N, Li D, Cao Y, Li X et al. Exploiting Mobile Social Networks from Temporal Perspective: A Survey. IEEE Access. 2019 Dec 3;7:180818 - 180834. https://doi.org/10.1109/ACCESS.2019.2958951

Author

Zhou, Huan ; Wang, Hui ; Wang, Ning ; Li, Dawei ; Cao, Yue ; Li, Xiuhua ; Wu, Jie. / Exploiting Mobile Social Networks from Temporal Perspective : A Survey. In: IEEE Access. 2019 ; Vol. 7. pp. 180818 - 180834.

Bibtex

@article{c66ab52c9f8043f394bd4dd702e7d9b1,
title = "Exploiting Mobile Social Networks from Temporal Perspective: A Survey",
abstract = "With the popularity of smart mobile devices, information exchange between users has become more and more frequent, and Mobile Social Networks (MSNs) have attracted significant attention in many research areas. Nowadays, discovering social relationships among people, as well as detecting the evolution of community have become hotly discussed topics in MSNs. One of the major features of MSNs is that the network topology changes over time. Therefore, it is not accurate to depict the social relationships of people based on a static network. In this paper, we present a survey of this emerging field from a temporal perspective. The state-of-the-art research of MSNs is reviewed with focus on four aspects: social property, time-varying graph, temporal social property, and temporal social properties-based applications. Some important open issues with respect to MSNs are discussed.",
author = "Huan Zhou and Hui Wang and Ning Wang and Dawei Li and Yue Cao and Xiuhua Li and Jie Wu",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2019",
month = dec,
day = "3",
doi = "10.1109/ACCESS.2019.2958951",
language = "English",
volume = "7",
pages = "180818 -- 180834",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Exploiting Mobile Social Networks from Temporal Perspective

T2 - A Survey

AU - Zhou, Huan

AU - Wang, Hui

AU - Wang, Ning

AU - Li, Dawei

AU - Cao, Yue

AU - Li, Xiuhua

AU - Wu, Jie

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/12/3

Y1 - 2019/12/3

N2 - With the popularity of smart mobile devices, information exchange between users has become more and more frequent, and Mobile Social Networks (MSNs) have attracted significant attention in many research areas. Nowadays, discovering social relationships among people, as well as detecting the evolution of community have become hotly discussed topics in MSNs. One of the major features of MSNs is that the network topology changes over time. Therefore, it is not accurate to depict the social relationships of people based on a static network. In this paper, we present a survey of this emerging field from a temporal perspective. The state-of-the-art research of MSNs is reviewed with focus on four aspects: social property, time-varying graph, temporal social property, and temporal social properties-based applications. Some important open issues with respect to MSNs are discussed.

AB - With the popularity of smart mobile devices, information exchange between users has become more and more frequent, and Mobile Social Networks (MSNs) have attracted significant attention in many research areas. Nowadays, discovering social relationships among people, as well as detecting the evolution of community have become hotly discussed topics in MSNs. One of the major features of MSNs is that the network topology changes over time. Therefore, it is not accurate to depict the social relationships of people based on a static network. In this paper, we present a survey of this emerging field from a temporal perspective. The state-of-the-art research of MSNs is reviewed with focus on four aspects: social property, time-varying graph, temporal social property, and temporal social properties-based applications. Some important open issues with respect to MSNs are discussed.

U2 - 10.1109/ACCESS.2019.2958951

DO - 10.1109/ACCESS.2019.2958951

M3 - Journal article

VL - 7

SP - 180818

EP - 180834

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -