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In order to solve the problems of high latency and average routing hops in existing teaching resource sharing methods, a new online assisted teaching resource sharing method based on mobile social networks is proposed. Firstly, combining temporal ...

In mobile social networks, next point-of-interest (POI) recommendation is a very important function that can provide personalized location-based services for mobile users. In this paper, we propose a recurrent neural network (RNN)-based next POI ...

In mobile communication services, users can communicate with each other over different telecommunication carriers. For telecom operators, how to acquire and retain users is a significant and practical task. Note that telecom operators only have their ...

With the pervasive use of smart mobile devices and increasing wireless networking technologies, collaborations among mobile users are becoming deeper and ubiquitous. Appropriate task collaborations among mobile users could effectively improve the network ...

Nowadays, people across the world are increasingly turning to social media, and industries are also starting to embrace it to improve and broaden their businesses. Social media represents a virtual community in which people with a shared interest, such ...

The recent development of social services tightens wireless users' social relationships and encourages them to generate more data traffic under network effect. This boosts the demand for wireless services yet may challenge the limited wireless capacity. ...

Groups of people with mobile phones using short-range connections such as WiFi and Bluetooth to propagate messages can be modeled as, with regard to regular absence of end-to-end connection, mobile social networks MSNs, which can be exploited to offload ...

Demographics are widely used in marketing to characterize different types of customers. However, in practice, demographic information such as age, gender, and location is usually unavailable due to privacy and other reasons. In this paper, we aim to ...

Location-based social networks (LBSNs) feature friend discovery by location proximity that has attracted hundreds of millions of users world-wide. While leading LBSN providers claim the well-protection of their users' location privacy, for the first ...

People that we encounter and connect with at conferences, provide opportunities for extending our social networks from offline to online. How can users easily find and connect with the relevant people in the conference? We present Find & Connect, an ...

Detecting a community structure reduces a complexity of networks consisted of large datasets, which is important to manage and understand core groups of the network. Especially, to accurately find a community structure, it is necessary to analyze and ...

Mobile social networks (MSNs) enable users to discover and interact with existing and potential friends in both the cyberspace and in the real world. Although mobile social network applications bring us much convenience, privacy concerns become ...

Online social networks are increasingly playing roles of propagating news. We are surrounded with diverse data every day in today's information exploding era and suffer from the littery contents. Furthermore, due to most users of online social networks ...

Health-compromising behaviors are difficult to change since people do not behave in accordance with their intention. This paper aims at studying the extent to which a person's healthy habit forming process can be affected by mobile phone usage. We ...

Community detection in social networks attracts a lot of attention in recent years. Existing methods always depict the relationship of two nodes using the temporary connection. However, these temporary connections cannot be fully recognized as the real ...

Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social ...

This work investigates how to bridge the gap between offline and online behaviors at a conference and how the physical resources in the conference (the physical objects used in the conference for gathering attendees together in engaging an activity such ...

Potential-Trust-Friends-Query is an important query in mobile social network, as it enables users to discover and interact with others happen to be in their physical vicinity. In our context, we attempt to find top-k mobile users for such query. We ...

Sensor-equipped mobile devices have allowed users to participate in various social networking services while they are on the go. We focus on proximity-based mobile social networking environments where users share information obtained from different ...

People engage with many overlapping social networks and enact diverse social roles across different facets of their lives. Unfortunately, many online social networking services reduce most people's contacts to "friend". A richer computational model of ...