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Many online social networks have provided a messenger app (e.g., facebook messenger, direct message on Twitter) to facilitate communication between strong- tied friends. Meanwhile, some messenger apps (WeChat) also start to offer social-networking services ("WeChat Moments" (WM), a.k.a. friend circle) that allow users to post pictures, texts, links of webpages, on their walls, which is called...
Wireless caching at users' devices in mobile social network is considered to be a promising solution to alleviate backhaul overload in future wireless networks. However, most of the current works propose caching schemes based on heuristic reasoning and intuition with poor performance or high complexity which are impractical due to individual devices' computing capacity restriction. In this paper,...
The popularity of personal devices has been creating a new location-based content era, where users produce, share and access content anytime and anywhere. Mobile devices in the same area can cooperate to each other by using a Device-to-Device (D2D) communication and maximize the usage of network resources and allow the creation of new applications and experiences. In this paper, we investigate the...
Device-to-device (D2D)-based social networking service (SNS) is an emerging information system that enables users with social ties to exchange multimedia contents through multihop short-range wireless links. In the D2D-based SNS, a random initial node failure may lead to a cascade of failures, which is a series of events in which users become isolated from others over subsequent time instances. Different...
In this paper, we present the Enhanced Learning Based Random Walk (ELBRW) recommender system for Places of Interest (POI), which leverages contextual information for providing more relevant POI recommendations. The ELBRW considers a model of contextual factors namely POI crowdedness based on a discrete-time Markov chain and combines user interests and "mobility homophily" for POI recommendation...
With the explosive development of social networks, users' behaviors are prone to be socially connected. Social Network Operator (SNO) can effectively collect communication data which reflects users' social behaviors and construct a social graph which precisely characterize relationship among users. Users who exert online influence on their friends can potentially affect their friends' demand for wireless...
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of networks and their components by analyzing their structural properties, which makes them useful in several computer science domains and applications. Unfortunately, there is a large number of distinct centrality measures and...
To further increase the system capacity in cellular networks, establishing stable D2D (Device-to-Device) links with efficient power allocation is necessary due to the communication interferences. Existing works are mainly focused on the interference control and mitigation at the physical layer. However, the information from social interactions among D2D users are also helpful to improve the system...
As online social networks grow in both size and connectivity, epidemic information dynamics in such networks is attracting considerable research interests, due to its impact on both the network and individuals. This paper studies control of malicious information (virus) epidemic with replicable antidote information, taking topological characteristics of the underlying graph into consideration. Specifically,...
Location-based social networks (LBSNs) make it possible for servers to record users' location histories, mine their life patterns, and infer individual preferences. As an important component of LBSNs, recommender systems gained popularity in recent years. Recommender systems can automatically list candidate locations for users according to their preferences, which is different from traditional search...
Since recent rapid development of information network technology activates the information exchange on the social network, dynamics for propagation of information or activity on the social network is an interesting research object. The network dynamics is generated by interaction between users whose strength is asymmetric in general. Network structure reflecting the asymmetric interaction between...
Social networks are naturally modeled as graphs, with edges indicating associations of users, and as such user popularity or influence is captured by the degree of the node corresponding to the user. It is of natural interest to seek maximum degree nodes, i.e., most popular members, in this graph, and as these networks are large, this requires an efficient search algorithm. In this paper we address...
Most prior algorithms for influence maximization focused are designed for Online Social Networks (OSNs) and require centralized computation. Directly deploying the above algorithms in distributed Mobile Social Networks (MSNs) will overwhelm the networks due to an enormous number of messages required for seed selection. In this paper, therefore, we design a new cross-layer strategy to jointly examine...
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