Modeling user mobility for location promotion in location-based social networks
With the explosion of smartphones and social network services, location-based social
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants, hotels) to …
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants, hotels) to …
Automatic user identification method across heterogeneous mobility data sources
With the ubiquity of location based services and applications, large volume of mobility data
has been generated routinely, usually from heterogeneous data sources, such as different …
has been generated routinely, usually from heterogeneous data sources, such as different …
Location driven influence maximization: Online spread via offline deployment
Existing works on influence maximization (IM) aim at finding influential online users as seed
nodes. Originated from these seed nodes, large online influence spread can be triggered …
nodes. Originated from these seed nodes, large online influence spread can be triggered …
Social bridges in urban purchase behavior
The understanding and modeling of human purchase behavior in city environment can have
important implications in the study of urban economy and in the design and organization of …
important implications in the study of urban economy and in the design and organization of …
Measuring user influence in GitHub: the million follower fallacy
AS Badashian, E Stroulia - … of the 3rd International Workshop on …, 2016 - dl.acm.org
Influence in social networks has been extensively studied for collaborative-filtering
recommendations and marketing purposes. We are interested in the notion of influence in …
recommendations and marketing purposes. We are interested in the notion of influence in …
IM2Vec: Representation learning-based preference maximization in geo-social networks
Recent advancements in mobile technology have facilitated location-based social networks.
The location-based influence maximization problem, which aims to find top influential seed …
The location-based influence maximization problem, which aims to find top influential seed …
Location influence in location-based social networks
Location-based social networks (LBSN) are social networks complemented with location
data such as geo-tagged activity data of its users. In this paper, we study how users of a …
data such as geo-tagged activity data of its users. In this paper, we study how users of a …
Modeling implicit communities from geo-tagged event traces using spatio-temporal point processes
The location check-ins of users through various location-based services such as
Foursquare, Twitter and Facebook Places, generate large traces of geo-tagged events …
Foursquare, Twitter and Facebook Places, generate large traces of geo-tagged events …
[PDF][PDF] LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks.
Location-based social networks (LBSNs) such as Foursquare offer a platform for users to
share and be aware of each other's physical movements. As a result of such a sharing of …
share and be aware of each other's physical movements. As a result of such a sharing of …
Exploiting viral marketing for location promotion in location-based social networks
With the explosion of smartphones and social network services, location-based social
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants and hotels) …
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants and hotels) …