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Predict Pairwise Trust based on Machine Learning in Online Social Networks: A Survey

Shushu Liu, Lifang Zhang, Zheng Yan
2018 IEEE Access  
This survey aims to fill this gap and first provides an overview of state-of-the-art researches in pairwise trust prediction using machine learning techniques, especially in the context of social networking  ...  Trust plays a crucial role in online social networks where users do not communicate or interact with each other in a direct face-to-face manner.  ...  This survey is addressed to researchers and practitioners interested in applying machine learning to predict pairwise trust in online social networks.  ... 
doi:10.1109/access.2018.2869699 fatcat:7awrilbuo5aopcxygslu2w4ajy

Socially Aware Networking: A Survey

Feng Xia, Li Liu, Jie Li, Jianhua Ma, Athanasios V. Vasilakos
2015 IEEE Systems Journal  
In addition, it facilitates the convergence of human society and cyber physical systems. In this paper, for the first time, to the best of our knowledge, we present a survey of this emerging field.  ...  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).  ...  The integration of online social network and mobile networks is a prominent problem in future research work.  ... 
doi:10.1109/jsyst.2013.2281262 fatcat:5c3c6fmapffy3kvlano4qg2wqi

Social Network Fusion and Mining: A Survey [article]

Jiawei Zhang
2018 arXiv   pre-print
This paper presents a comprehensive survey about the latest research works on multiple aligned HSNs studies based on the broad learning setting, which covers 5 major research tasks, i.e., network alignment  ...  Looking from a global perspective, the landscape of online social networks is highly fragmented.  ...  In this paper, we will focus on introducing the broad learning research works done based on online social media data.  ... 
arXiv:1804.09874v4 fatcat:dc2mj26i6reu5dy76vjk3qmjh4

A Survey on Trust Prediction in Online Social Networks

Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cecile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet Orgun
2020 IEEE Access  
INDEX TERMS Context-aware, data sparsity problem, online social networks, pair-wise trust prediction, trust, trust relations, time-aware.  ...  In this paper, we analyse the state-of-the-art in pair-wise trust prediction models in OSNs, classify them based on different factors, and propose some future directions for researchers interested in this  ...  TRUST PREDICTION IN ONLINE SOCIAL NETWORKS Trust networks in OSNs are usually sparse [25] .  ... 
doi:10.1109/access.2020.3009445 fatcat:5fckv3i7rncsnks3keelaqcfci

Network Representation Learning: A Survey [article]

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 arXiv   pre-print
In this survey, we perform a comprehensive review of the current literature on network representation learning in the data mining and machine learning field.  ...  Network representation learning has been recently proposed as a new learning paradigm to embed network vertices into a low-dimensional vector space, by preserving network topology structure, vertex content  ...  [19] and [35] predict missing links based on the learned vertex representations on social networks.  ... 
arXiv:1801.05852v3 fatcat:ploedafa4jhyxlvii5l42yw2bq

A survey of trust in social networks

Wanita Sherchan, Surya Nepal, Cecile Paris
2013 ACM Computing Surveys  
In this article, we present the first comprehensive review of social and computer science literature on trust in social networks.  ...  Web-based social networks have become popular as a medium for disseminating information and connecting like-minded people.  ...  Solutions based on machine learning typically exploit techniques such as Artificial Neural Networks (ANNs) and Hidden Markov Models (HMMs) for computing and predicting trust.  ... 
doi:10.1145/2501654.2501661 fatcat:g3shq6bskrgbxmvuhhdquc3yfq

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
In this paper, we provide a survey of heterogeneous information network analysis.  ...  and links in the networks.  ...  [59] predict the semantic meaning based on a user's query in the meta-path-based feature space and learn a ranking model to answer the similarity query. Recently, Zhang et al.  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

Privacy and security in online social networks: A survey

Imrul Kayes, Adriana Iamnitchi
2017 Online Social Networks and Media  
Built on a foundation of trust-users connect to other users with common interests or overlapping personal trajectories-online social networks and the associated applications extract an unprecedented volume  ...  Online Social Networks (OSN) are a permanent presence in today's personal and professional lives of a huge segment of the population, with direct consequences to offline activities.  ...  ., 2009a] detect video polluters such as spammers and promoters in YouTube online video social networks using machine learning techniques.  ... 
doi:10.1016/j.osnem.2017.09.001 fatcat:xme5wwkyfbhnpgoiwgadknageq

Survey on social networking services

Rizwana Irfan, Sajjad Ahmad Madani, Khizar Hayat, Hongxiang Li, Samee U. Khan, Rajiv Ranjan, Imran A. Khan, Joanna Kolodziej, Babar Nazir, Dan Chen, Lizhe Wang, Gage Bickler
2013 IET Networks  
The social computing, such as Social Networking services (SNSs) and social Networking Platforms (SNPs) provide a coherent medium through which people can be interactive and socialize.  ...  This survey provides several possible future research directions especially in the field of social search and recommendation that can provide better social communication capabilities.  ...  Acknowledgements We are grateful to Juan Li, Matthew Warner, and Daniel Grages for their feedback on draft of this survey report. Samee U.  ... 
doi:10.1049/iet-net.2013.0009 fatcat:gpnxhfeuqfgsxjpzpo7nk7sc5e

A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks

Xiaomei Huang, Guoqiong Liao, Naixue Xiong, Athanasios V. Vasilakos, Tianming Lan
2020 Electronics  
In recent years, Event-based social network (EBSN) applications, such as Meetup and DoubanEvent, have received popularity and rapid growth.  ...  Additionally, they not only support typical online social networking facilities (e.g., sharing comments and photos), but also promote face-to-face offline social interactions.  ...  DL is a sub field of machine learning that is based on learning multiple layers of representations, typically by using artificial neural networks.  ... 
doi:10.3390/electronics9101583 fatcat:hdapa7y4vfcefcprlngjnjn5ai

Explainable Recommendation: A Survey and New Perspectives [article]

Yongfeng Zhang, Xu Chen
2020 arXiv   pre-print
We then conduct a comprehensive survey of explainable recommendation on three perspectives: 1) We provide a chronological research timeline of explainable recommendation. 2) We provide a two-dimensional  ...  In this survey, we provide a comprehensive review for the explainable recommendation research.  ...  Any opinions, findings and conclusions expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.  ... 
arXiv:1804.11192v10 fatcat:scsd3htz65brbiae35zd3nixe4

A Survey of Data Mining Techniques for Internet

Aishwarya Lakshmi R, SashiKumar D R
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters.  ...  Data mining techniques are used for information retrieval, statistical modelling and machine learning.  ...  Furthermore, VoyeurServer [61] improved on the open-source Web-Harvest framework for the collection of online social network data in order to study structures of trust enhancement and of online scientific  ... 
doi:10.23956/ijarcsse/v7i1/0125 fatcat:wdtrh5du7ja3tkby5qoc7gmplm

A Survey on Human-Centric Communications in Non-Cooperative Wireless Relay Networks

Behrouz Jedari, Feng Xia, Zhaolong Ning
2018 IEEE Communications Surveys and Tutorials  
In this paper, we present an in-depth survey on human-centric communication challenges and solutions in the non-cooperative WRNs that focuses on: (1) an overview of the non-cooperative WRNs and introduction  ...  ., blackhole and trust-related attacks) to disrupt the normal operation of the network.  ...  [142] employ an online supervised learning algorithm that helps a node learn its cooperation policy and make a decision whether to relay messages received from other nodes or not.  ... 
doi:10.1109/comst.2018.2791428 fatcat:2v6odowj4rhx5ico7g2i4pk6ne

A Survey of Data Mining Techniques for Social Media Analysis [article]

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
2014 arXiv   pre-print
People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters.  ...  Data mining techniques are used for information retrieval, statistical modelling and machine learning.  ...  Pattern Mining), SFPM (Soft EM-based & Frequent Pattern Detects friendship structure on social network based on of phrases. of trust enhancement and online scientific association.  ... 
arXiv:1312.4617v2 fatcat:7zulil64vfhrpeexj5mcs7canq

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020 Big Data Research  
In this paper, to the best of our knowledge, we present a survey on data-driven computational social science for the first time which primarily focuses on reviewing application domains involving human  ...  Social science concerns issues on individuals, relationships, and the whole society.  ...  Collaborative Filtering in [44] provided a method to find the feature which offered the highest information gain to predict partnership in online and location-based social networks.  ... 
doi:10.1016/j.bdr.2020.100145 fatcat:jazh5b3itfgmvh4pn37l4v5m7y
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