Results 241 to 250 of about 1,010,893 (298)

A tale of two coasts: Unveiling US Gulf and Atlantic coastal cities at high flood risk. [PDF]

Sci Adv
Dey H, Shao W.
europepmc   +1 more source

To stay or leave: an integrative review of factors, personas, and recommendations for retaining family physicians in Canada. [PDF]

BMC Prim Care
Okpalauwaekwe U, MacPhee BK, Balezantis L, Ramsden VR, Baerwald A.   +4 more
europepmc   +1 more source

Transmission networks of long-term and short-term knowledge in a foraging society. [PDF]

PNAS Nexus
Jang H, Redhead D.
europepmc   +1 more source

Using Social Network Analysis to Visualise Place-Based Partnerships for Systems Change in Regional Australia. [PDF]

Health Promot J Austr
Godrich SL, Chiera I, Stoneham M, Doe J, Devine A, Humphreys E.   +5 more
europepmc   +1 more source

Extreme heat reduces and reshapes urban mobility. [PDF]

PNAS Nexus
Renninger A, Cabrera C.
europepmc   +1 more source

Designing network based intervention strategies for epidemics of infectious diseases from edge based infection probability. [PDF]

Sci Rep
Halász V, Rocklöv J.
europepmc   +1 more source

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Location-Based Social Networks

2014
Location-based Social Networks (LBSNs) can be considered as a special Online Social Network (OSN) category. Actually, an LBSN has the same OSN’s properties, but considers location as the core object of its structure. This chapter initially provides some definitions and basic services that are offered by LBSNs, a brief literature review, and two ...
Wang-Chien Lee, Mao Ye
openaire   +2 more sources

Predicting Visitors Using Location-Based Social Networks

2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018
Location-based social networks (LBSN) are social networks complemented with users' location data, such as geo-tagged activity data. Predicting such activities finds application in marketing, recommendation systems, and logistics management. In this paper, we exploit LBSN data to predict future visitors at given locations. We fetch the travel history of
Saleem, Muhammad, Da Costa, Felipe Soares, Dolog, Peter, Karras, Panagiotis, Pedersen, Torben Bach, Calders, Toon   +5 more
openaire   +5 more sources

Location Influence in Location-based Social Networks

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Location-based social networks (LBSN) are social networks complemented with location data such as geo-tagged activ- ity data of its users. In this paper, we study how users of a LBSN are navigating between locations and based on this information we select the most influential locations.
Saleem, Muhammad Aamir, Kumar, Rohit, Calders, Toon, Xie, Xike, Pedersen, Torben Bach   +4 more
openaire   +2 more sources