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Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
In this work, we present a systematic review across i) online social influence metrics, properties, and applications and ii) the role of semantic in modeling OSNs information.  ...  In recent years, Online Social Networks (OSNs) have been established as a basic means of communication and often influencers and opinion makers promote politics, events, brands or products through viral  ...  combined with the "AND" Boolean operator in conjunction with terms such as OSNs, online social networks, social media, and so on, as a case insensitive search) Influence Social semantic modeling Tweet  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

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.  ...  In LikeMiner system, Jin et al. [163] introduce a heterogeneous network model for social media with 'likes', and propose 'like' mining algorithms to estimate representativeness and influence of objects  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

Big networks: A survey

Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
2020 Computer Science Review  
Big networks are generally in large-scale with a complicated and higher-order inner structure.  ...  A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is intricate.  ...  in a social network, there is a form of graph that is connecting people, in biological networks, there are regulatory structures, influences, and correlations in the form of a graph, and in academic social  ... 
doi:10.1016/j.cosrev.2020.100247 fatcat:pmuxvvbprnc4jcy3gqmrjyf4tq

Mobile social networking middleware: A survey

Paolo Bellavista, Rebecca Montanari, Sajal K. Das
2013 Pervasive and Mobile Computing  
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  ...  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  ...  A common trend is to exploit ontology-based data models and semantic technologies to represent social graphs and metadata [41] .  ... 
doi:10.1016/j.pmcj.2013.03.001 fatcat:pvtkbe5unvgjrcupo6inxq4qqe

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.  ...  With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as social networks, citation  ...  SDNE [19] uses a semi-supervised deep autoencoder model [59] to model non-linearity in network structure.  ... 
arXiv:1801.05852v3 fatcat:ploedafa4jhyxlvii5l42yw2bq

Recommendations in location-based social networks: a survey

Jie Bao, Yu Zheng, David Wilkie, Mohamed Mokbel
2015 Geoinformatica  
This article presents a panorama of the recommender systems in location-based social networks with a balanced depth, facilitating research into this important research theme.  ...  We refer to these social networks as location-based social networks (LBSNs).  ...  This survey presents a panorama of the recommendations in location-based social networks with a balanced depth, facilitating research into this rising topic.  ... 
doi:10.1007/s10707-014-0220-8 fatcat:3ivmtrnvkfhshl72gd33h4aola

A survey on text mining in social networks

Rizwana Irfan, Christine K. King, Daniel Grages, Sam Ewen, Samee U. Khan, Sajjad A. Madani, Joanna Kolodziej, Lizhe Wang, Dan Chen, Ammar Rayes, Nikolaos Tziritas, Cheng-Zhong Xu (+3 others)
2015 Knowledge engineering review (Print)  
This survey attempts to provide a thorough understanding of different text mining techniques as well as the application of these techniques in the social networking websites.  ...  In this survey, we review different text mining techniques to discover various textual patterns from the social networking sites.  ...  Acknowledgements We are grateful to Juan Li, Matthew Warner, and Daniel Grages for their feedback on draft of this survey report. Samee U.  ... 
doi:10.1017/s0269888914000277 fatcat:uzcny5uh2jduzjhv6rmxg2niuu

A survey of trust in social networks

Wanita Sherchan, Surya Nepal, Cecile Paris
2013 ACM Computing Surveys  
Therefore, trust becomes an essential and important element of a successful social network.  ...  In this article, we present the first comprehensive review of social and computer science literature on trust in social networks.  ...  The emergence of social networks has spurred new research in the study of trust, and, recently, a number of trust models for social networks have been developed with a specific focus on social aspects  ... 
doi:10.1145/2501654.2501661 fatcat:g3shq6bskrgbxmvuhhdquc3yfq

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
mining and network analysis techniques obsolete and not suitable to deal with such new challenges.  ...  Performing event detection on online social networks is no exception, state-of-the-art algorithms rely on text mining techniques applied to pre-known datasets that are being processed with no restrictions  ...  Acknowledgements This work was supported by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT), and by European Commission through the project MAESTRA (  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

Graph Neural Networks in Recommender Systems: A Survey [article]

Shiwen Wu, Fei Sun, Wentao Zhang, Bin Cui
2021 arXiv   pre-print
We hope this survey can provide readers with a general understanding of the recent progress in this field, and shed some light on future developments.  ...  In this survey, we provide a comprehensive review of the most recent works on GNN-based recommender systems. We proposed a classification scheme for organizing existing works.  ...  In practice, social influence recursively propagates and diffuses in the social network, i.e., a user might be influenced by her friends' friends.  ... 
arXiv:2011.02260v2 fatcat:5phmgwzndfg7xlquierooryp2a

Social Network Fusion and Mining: A Survey [article]

Jiawei Zhang
2018 arXiv   pre-print
A large number of online social networks have appeared, which can provide users with various types of services.  ...  The heterogeneous information generated by users' social activities in the multiple aligned social networks provides social network practitioners and researchers with the opportunities to study individual  ...  However, in networks with other semantic interpretations, this reversal does not need to be performed.  ... 
arXiv:1804.09874v4 fatcat:dc2mj26i6reu5dy76vjk3qmjh4

A Survey on Neural Network Interpretability [article]

Yu Zhang, Peter Tiňo, Aleš Leonardis, Ke Tang
2021 arXiv   pre-print
In this survey, we conduct a comprehensive review of the neural network interpretability research. We first clarify the definition of interpretability as it has been used in many different contexts.  ...  Moreover, interpretability is a desired property for deep networks to become powerful tools in other research fields, e.g., drug discovery and genomics.  ...  CONCLUSION In this survey, we have provided a comprehensive review of neural network interpretability.  ... 
arXiv:2012.14261v3 fatcat:hrsunbookrhjhbxlmv6pcw44w4

Credibility in Online Social Networks: A Survey

Majed Alrubaian, Muhammad Al-Qurishi, Atif Alamri, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Giancarlo Fortino
2019 IEEE Access  
In addition, information science dealing with online social networks has grown in complexity, attracting interest from researchers in information science, psychology, human-computer interaction, communication  ...  INDEX TERMS Online social networks, credibility assessment, Twitter.  ...  PREVIOUS SURVEYS In this survey, a large body of research is discussed and studied in terms of credibility in online social networks.  ... 
doi:10.1109/access.2018.2886314 fatcat:7oeqakb26jfbtijvzirxr6qlva

Social networks and statistical relational learning: a survey

Floriana Esposito, Stefano Ferilli, Teresa M.A. Basile, Nicola Di Mauro
2012 International Journal of Social Network Mining  
Statistical relational learning (SRL) is a very promising approach to SNM, since it combines expressive representation formalisms, able to model complex relational networks, with statistical methods able  ...  This paper is a survey of some SRL formalisms and techniques adopted to solve some SNM tasks.  ...  In this paper, we survey some SRL formalisms and techniques for social network modelling and analysis.  ... 
doi:10.1504/ijsnm.2012.051057 fatcat:6i7n2zrrj5geho3eh6nicay5nm

Big Data: A Survey

Min Chen, Shiwen Mao, Yunhao Liu
2014 Journal on spesial topics in mobile networks and applications  
In [71] , a probability model was developed to cope with data loss in mobile environments.  ...  Social influence refers to the case when individuals change their behavior under the influence of others.  ... 
doi:10.1007/s11036-013-0489-0 fatcat:lvnmkesqbngc3lgccms3hmm7jq
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