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Mobile social networking middleware: A survey

Paolo Bellavista, Rebecca Montanari, Sajal K. Das
2013 Pervasive and Mobile Computing  
Indeed, MSN enhances the capabilities of more traditional Online Social Networking (OSN) to a great extent by enabling mobile users to benefit from opportunistically created social communities; these communities  ...  The convergence of social networking and mobile computing is expected to generate a new class of applications, called Mobile Social Networking (MSN) applications, that will be of significant importance  ...  , e.g., the user focal node in case of a user-centric approach.  ... 
doi:10.1016/j.pmcj.2013.03.001 fatcat:pvtkbe5unvgjrcupo6inxq4qqe

Social Network Analysis of Mobile Streaming Networks

Shazia Tabassum
2016 2016 17th IEEE International Conference on Mobile Data Management (MDM)  
Call data generated from mobile phones reflect a social network structure. Analyzing the topology, behavior and dynamics of such networks is one of the prevailing interests in network science.  ...  We also discussed sampling at a precise level of socio-centric and ego-centric network. We delineated and evaluated some sampling methods and algorithms.  ...  A family can be people sharing common geographical location. This aspect can be applied to churn prediction in call networks.  ... 
doi:10.1109/mdm.2016.84 dblp:conf/mdm/Tabassum16 fatcat:va5c5gom7fc7voohloburdb24y

Socially Aware Networking: A Survey

Feng Xia, Li Liu, Jie Li, Jianhua Ma, Athanasios V. Vasilakos
2015 IEEE Systems Journal  
Consequently, today's mobile networks are becoming increasingly human centric. This leads to the emergence of a new field which we call socially-aware networking (SAN).  ...  This emerging paradigm is applicable to various types of networks (e.g. opportunistic networks, mobile social networks, delay tolerant networks, ad hoc networks, etc) where the users have social relationships  ...  This makes the mobile social learning a vital issue.  ... 
doi:10.1109/jsyst.2013.2281262 fatcat:5c3c6fmapffy3kvlano4qg2wqi

Privacy Inference Attack Against Users in Online Social Networks: A Literature Review

Yangheran Piao, Kai Ye, Xiaohui Cui
2021 IEEE Access  
A large amount of privacy information can be inferred from the content and social traces published by users, which leads to the rise of privacy inference technology for users in social networks.  ...  Social relationship inference and attribute inference are two basic attacks on users' privacy in social networks. This is the first systematic review of privacy inference attacks in social networks.  ...  S Scellato et al. constructed a social graph by visited users in the same place and established a supervised learning location prediction model [58] .  ... 
doi:10.1109/access.2021.3064208 fatcat:rljfmzrkenfctjpcgpzrpvmume

Prediction of Subscriber Churn Using Social Network Analysis

Chitra Phadke, Huseyin Uzunalioglu, Veena B. Mendiratta, Dan Kushnir, Derek Doran
2013 Bell Labs technical journal  
In this paper, we present a way to address these challenges by developing a new churn prediction algorithm based on a social network analysis of the call graph.  ...  We combine this infl uence and other social factors with more traditional metrics and apply machine-learning methods to compute the propensity to churn for individual users.  ...  *Trademarks Facebo ok is a trademark of Facebook, Inc. iPhone is a registered trademark of Apple Inc. TreeNet is a registered trademark of Salford Systems.  ... 
doi:10.1002/bltj.21575 fatcat:kr25mygsvzamxfmonm5ze5vjze

Dynamic Network Selection in Wireless LAN/MAN Heterogeneous Networks [chapter]

Olga Ormond, John Murphy, Gabriel-Miro Muntean
2007 Mobile WiMAX  
A study on the design of a proposed user-centric dynamic network selection strategy is then presented, which includes a comparison between two of the existing intelligent approaches and an in-depth discussion  ...  Given the variability of the radio environment properties and user mobility, the availability and characteristics of an access network will change in time and are highly dependent on location.  ...  In the case of the user-centric service oriented heterogeneous wireless network setting there is a need for an intelligent user-centric network selection mechanism inbuilt in the mobile device to aid with  ... 
doi:10.1201/9780849326400.ch11 fatcat:xogg5dmleva4pia5hcp3xa5ppu

Location Analytics for Location-Based Social Networks [article]

Muhammad Aamir Saleem
2018 PhD series, Technical Faculty of IT and Design, ˜Aalborg=ålborgœ University  
Acknowledgements Acknowledgements viii Conclusion We proposed the problem of predicting future companions in LBSNs, and an efficient, nontrivial solution, COVER; this solution mines geo-social cohorts  ...  [4] proposed the first such data based approach to find influential users in a social network.  ...  Influential Users in Social Networks. The influence maximization approaches in social networks are generally divided into two main groups.  ... 
doi:10.5278/ fatcat:wwovvw4mnjbe5fqno7xn4qqo4e

On Preventing Location Attacks for Urban Vehicular Networks

Meng Zhou, Xin Li, Lejian Liao
2016 Mobile Information Systems  
The prevalence of global positioning system (GPS) equipped in vehicular networks exposes users' location information to the location-based services.  ...  In this paper, we proposed a sophisticated prediction model to predict driver's next location by using a k-order Markov chain-based third-rank tensor representing the partially observed transfer information  ...  The location privacy concern does appear not only in mobile social networks, but also in vehicular networks.  ... 
doi:10.1155/2016/5850670 fatcat:7o7mx4xccbdxdfg5ipvy7nmoq4

Friends Wall: A Semantic-based Friend Recommendation System for Social Networks

Mr. Raj Agarwal, Mr. Swaranjeet Singh, Ms. Samiksha Bhujbal, Ms. Pooja Jadhav, Prof. Wanaskar U.H.
2017 IJARCCE  
Present social networking services suggest friends to users based on their social activities, which may not be the most suitable to react a users taste on friend choice in real life.  ...  In this project, we present Friendswall, a semanticbased friend recommendation system for social networks, which present friends to users based on their life styles instead of social activities.  ...  We specially thank to those who helped us directly-indirectly in completion of this work successfully.  ... 
doi:10.17148/ijarcce.2017.6598 fatcat:l2p4wjif4naclcpufhmzyrmthu

Network Representation [chapter]

Zhiyuan Liu, Yankai Lin, Maosong Sun
2020 Representation Learning for Natural Language Processing  
Network representation learning aims to embed the vertexes in a network into low-dimensional dense representations, in which similar vertices in the network should have "close" representations (usually  ...  The representations can be used as the feature of vertices and applied to many network study tasks. In this chapter, we will introduce network representation learning algorithms in the past decade.  ...  As shown in Fig. 8.7 , a combination of social networking and location-based services is called as Location-Based Social Networks (LBSN).  ... 
doi:10.1007/978-981-15-5573-2_8 fatcat:2fljfkgpozhudbgqr7tgv45vxi

Decentralized Self-Management of Trust for Mobile Ad Hoc Social Networks

Juan Li, Qingrui Li
2011 International Journal of Computer Networks & Communications  
The construction of social networks over mobile devices in the events or at locations has emerged as a new network paradigm.  ...  A set of simulations is conducted to evaluate our system deployed in a mobile social network in the presence of dishonest users. 2 opportunities, and commercial advertisement systems that recommend reviews  ...  This definition of trust encompasses all of the most important social factors in a spontaneous mobile social network.  ... 
doi:10.5121/ijcnc.2011.3601 fatcat:sz6nr6ptwvapvjrku3go3vargu

Predicting the content dissemination trends by repost behavior modeling in mobile social networks

Xinjiang Lu, Zhiwen Yu, Bin Guo, Xingshe Zhou
2014 Journal of Network and Computer Applications  
We try to tackle this issue by exploring approaches to predict the amount of reposts any given post will obtain in Sina Weibo, a well-known mobile social networking service in China.  ...  Experimental results over the collected data from Sina Weibo indicate that our method is effective on content diffusion prediction in mobile social networks.  ...  In this paper we aim to explore the approaches to model and predict the information diffusion in Sina Weibo, 5 a well-known social networking service (also a promising mobile social networking service)  ... 
doi:10.1016/j.jnca.2014.01.015 fatcat:m3s32akjtrdk5dxuteooluvnby

Location-Based Social Networks: Users [chapter]

Yu Zheng
2011 Computing with Spatial Trajectories  
The inferred similarity represents the strength of connection between two users in a locationbased social network, and can enable friend recommendations and community discovery.  ...  In this chapter, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations.  ...  Networks: Users Location-Based Social Networks: Users Location-Based Social Networks: Users Location-Based Social Networks: Users Location-Based Social Networks: Users  ... 
doi:10.1007/978-1-4614-1629-6_8 fatcat:wblv2rposjfijdioqjnnlfluoe

Probabilistic graphical models in modern social network analysis

Alireza Farasat, Alexander Nikolaev, Sargur N. Srihari, Rachael Hageman Blair
2015 Social Network Analysis and Mining  
Finally, we conclude with a discussion of challenges and opportunities for PGMs in social networks.  ...  Consequently, there is a growing emphasis on mining social networks to extract information for knowledge and discovery.  ...  Social network clustering is especially challenging in a dynamic context, e.g. in Mobile Social Networks [70] .  ... 
doi:10.1007/s13278-015-0289-6 fatcat:ovrlvvfgonhttl65aqt7p3ckqq

Information-centric mobile caching network frameworks and caching optimization: a survey

Hao Jin, Dan Xu, Chenglin Zhao, Dong Liang
2017 EURASIP Journal on Wireless Communications and Networking  
In this paper, a brief survey on Information centric mobile caching network architecture and caching optimization is presented, including cache placement in different mobile wireless network architectures  ...  Information centric mobile caching network architectures have emerged in Information-Centric Networking as well as mobile cellular and ad-hoc networks deployed with caches.  ...  Mobility-aware CaRs are deployed at the edge of the access networks to support user mobility, and track the mobility of users and context information and can predict their future locations [1] .  ... 
doi:10.1186/s13638-017-0806-6 fatcat:wwf6gctzbzfbhi6elcecbywkam
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