Clustering Foursquare Mobility Networks to Explore Urban Spaces

被引：2

作者：

Novovic, Olivera ^{[1
]}

Grujic, Nastasija ^{[1
]}

Brdar, Sanja ^{[1
]}

Govedarica, Miro ^{[2
]}

Crnojevic, Vladimir ^{[1
]}

机构：

[1] Univ Novi Sad, Inst BioSense, Novi Sad, Serbia

[2] Univ Novi Sad, Fac Tech Sci, Novi Sad, Serbia

来源：

TRENDS AND INNOVATIONS IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 3 | 2020年 / 1161卷

关键词：

Graph-based clustering; Mobility networks; Foursquare;

D O I：

10.1007/978-3-030-45697-9_53

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Our study aimed to explore Foursquare mobility networks and investigate phenomena of clustering venues across the cities. We performed graph-based clustering to detect venues that highly interact among each other in terms of aggregated users mobility flows. Available Foursquare data included check-in information for ten large worldwide cities, observed in the period of two years, each having large number of geo-tagged venues coupled with semantic information in form of venue category. Such data allowed us to study cities as complex systems and explore their dynamic nature. We obtain global overview on the semantics content of clusters derived from venues categories, quantified changes in the clusters on a monthly bases and compared results between cities.

引用

页码：544 / 553

页数：10

共 50 条

[41] Mobilis in mobile: A probabilistic and chronotopic model of mobility in urban spaces
Bazzani, A
Giorgini, B
Servizi, G
Turchetti, G
RIVISTA DI BIOLOGIA-BIOLOGY FORUM, 2001, 94 (03): : 499 - 510
[42] Using social networks to explore the social flexibility of urban vervet monkeys
Thatcher, Harriet R.
Downs, Colleen T.
Koyama, Nicola F.
URBAN ECOSYSTEMS, 2024, 27 (05) : 1961 - 1973
[43] CLUSTERING MOBILITY PATTERNS IN WIRELESS NETWORKS WITH A SPATIOTEMPORAL SIMILARITY MEASURE
Duong, Thuy Van T.
Dinh Que Tran
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (11): : 4263 - 4284
[44] A mobility based metric for clustering in mobile ad hoc networks
Basu, P
Khan, N
Little, TDC
21ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, PROCEEDINGS, 2001, : 413 - 418
[45] Clustering mobility patterns in wireless networks with a spatiotemporal similarity measure
2013, IJICIC Editorial Office, 9-1-1 Toroku, Kamamoto, 862 8652, Japan (09):
[46] Enhanced Mobility Based Clustering Protocol for Wireless Sensor Networks
Sahi, Lofty
Khandnor, Padmavati
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT), 2016, : 687 - 692
[47] A Mobility Pattern Aware Clustering Mechanismfor Mobile Vehicular Networks
Shi Yan
Zou Long-hao
Chen Shan-zhi
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 317 - +
[48] A mobility aware clustering algorithm for aeronautical Ad hoc networks
Zhou, Qi
Gu, Wenzhe
Li, Jinglin
Sun, Qibo
Yang, Fangchun
Journal of Convergence Information Technology, 2012, 7 (12) : 148 - 156
[49] Clustering Approach Using Node Mobility in Wireless Sensor Networks
Belabed, Fatma
Boouallegue, Ridha
2017 13TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2017, : 987 - 992
[50] Mobility resistant clustering in multi-hop wireless networks
Department of Mechanical Engineering, University of Maryland, College Park, MD, United States
不详
J. Netw., 2006, 1 (12-19):

← 1 2 3 4 5 →