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Using Graph Neural Networks for Program Termination [article]

Yoav Alon, Cristina David
2022 arXiv   pre-print
In this paper, we move away from formal methods and embrace the stochastic nature of machine learning models.  ...  Overall, we designed and implemented classifiers for program termination based on Graph Convolutional Networks and Graph Attention Networks, as well as a semantic segmentation Graph Neural Network that  ...  For heterogeneous graphs with additional edge features, Relational Graph Convolution Networks were introduced by Schlichtkrull et. al.  ... 
arXiv:2207.14648v1 fatcat:nqnggy5rhjcqzngggguqwmqfsy

Mining Social Media: A Brief Introduction [chapter]

Pritam Gundecha, Huan Liu
2012 2012 TutORials in Operations Research  
Social media data are vast, noisy, unstructured, and dynamic in nature, and thus novel challenges arise.  ...  The pervasive use of social media has generated unprecedented amounts of social data. Social media provides easily an accessible platform for users to share information.  ...  Some projects described in this brief introductory survey were sponsored by the Office of Naval  ... 
doi:10.1287/educ.1120.0105 fatcat:isni3ylvsrgcxkgnvtgr3v5bcu

Trusting the Social Web: issues and challenges

Surya Nepal, Cécile Paris, Athman Bouguettaya
2013 World wide web (Bussum)  
We offer our special appreciation to Springer, to WWW Editors-in-Chief Prof. Professor Yanchun Zhang and Ms.  ...  Jennylyn Rosiento from the Springer Journal Editorial Office for helping us to bring this special issue out in a short time frame.  ...  ("Trust-aware Media Recommendation in Heterogeneous Social Networks") also presents work to recommend to users information sources that are both relevant to the users' interests and come from reliable  ... 
doi:10.1007/s11280-013-0252-2 fatcat:al4gg7uudbgvrcqhejo4xa2sta

5. Users' privacy at online social networks in Indian context: comprehensive multiaged group survey and discussion [chapter]

Rachana Ashetakr, Parikshit N. Mahalle, Gitanjali R. Shinde, Nilanjan Dey, Gitanjali Shinde, Parikshit Mahalle, Henning Olesen
2019 The Internet of Everything  
However, protecting privacy in online social networks (OSNs) is challenging as OSNs follow the strategy "Take it or Leave it."  ...  Nowadays, social media has become an important part of life. People across the world use social media for random purposes.  ...  Users' privacy at online social networks in Indian context Users' privacy at online social networks in Indian context Users' privacy at online social networks in Indian context Rachana Ashetakr  ... 
doi:10.1515/9783110628517-006 fatcat:fey37hr6g5bplllpvor7sa2d5y

Towards Social Network – Integrated E-Health: Identify User Attitudes

Siraj Maeen, Sergey Zykov
2015 Procedia Computer Science  
The survey findings show that social media users need special recommendation and guidance services-especially those people located in urban centers that have busy schedules.  ...  This paper explains how people responding to our survey, which included users' basic information, social status, experience with social networking and attitude towards social network-integrated e-health  ...  Trust level for recommendation system Fig. 11 .  ... 
doi:10.1016/j.procs.2015.07.091 fatcat:lpbfaevmojchnm6z4cvbxwnvdm

Social media security and trustworthiness: Overview and new direction

Zhiyong Zhang, Brij B. Gupta
2018 Future generations computer systems  
h i g h l i g h t s • The survey investigates the state-of-the-art of social media security and trust. • We propose a new research direction on crowd evaluations of social media platforms. • Several key  ...  open problems and challenges are also presented in the survey. a b s t r a c t The emerging social media with inherent capabilities seems to be gaining edge over comprehensiveness, diversity and wisdom  ...  As a killer application of social media and networking, recommendation systems based on social trust have been widely studied and applied.  ... 
doi:10.1016/j.future.2016.10.007 fatcat:jn7222u73fctncxcdsasi7umbq

An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope

Partibha Ahlawat, Chhavi Rana
2021 Pertanika journal of science & technology  
Recommendation technologies have proven their capabilities of digging the personalised information by proactive filtering in many application domains and can also be a backbone platform in IoT for identifying  ...  The evolution of the Internet of Things (IoT) accelerates the augmentation of data present on the Internet and possibilities for connections to the more dynamic and heterogeneous devices to the Internet  ...  Trust Aware IoT Recommender System Trust is defined as reliance on the ability, integrity and nature of a thing (object), service or user necessary for social transactions in an IoT environment.  ... 
doi:10.47836/pjst.29.4.07 fatcat:dtubrmawxjhw7lu35l3fsqrs64

ANALYSIS OF COLLABORATIVE FILTERING WITH I-SSU RECOMMENDATION SYSTEM

E. Kaviyavarshini
2018 International Journal of Advanced Research in Computer Science  
The users in such social networks will rate some fascinating things and provides comments.  ...  This paper survey a location-based social network (LBSN) doesn't solely mean adding a location to Associate in Nursing existing social network so individuals within the social organization will share location-embedded  ...  Social media allow users to share ideas, pictures, posts, activities, events, and interests of people in their network. Fig 1.1 Social Networks Model A.  ... 
doi:10.26483/ijarcs.v9i3.6019 fatcat:yfh3436ranauxhky4zn3ja275i

Public Engagement with, and Trust in, Online News Media in French-Speaking Belgium

Omar Rosas
2013 Recherches en communication  
This paper analyzes the French-speaking Belgian public's reception of, and trust in, online news media.  ...  , and the recommendation heuristic.  ...  , but also on media recommendations provided by trustworthy members of their social networks.  ... 
doi:10.14428/rec.v40i40.49363 fatcat:vgshlxtr3va3tbke3zhf6ftpjy

Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

Areej Bin Suhaim, Jawad Berri
2021 IEEE Access  
Context-aware recommender systems dedicated to online social networks experienced noticeable growth in the last few years.  ...  In this research, we present a comprehensive review of context-aware recommender systems developed for social networks.  ...  social network media systems on smartphones.  ... 
doi:10.1109/access.2021.3072165 fatcat:i3igbxd44jhrzcyvynevpidcwq

Graph Neural Networks for Social Recommendation [article]

Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
2019 arXiv   pre-print
To address the three aforementioned challenges simultaneously, in this paper, we present a novel graph neural network framework (GraphRec) for social recommendations.  ...  These advantages of GNNs provide great potential to advance social recommendation since data in social recommender systems can be represented as user-user social graph and user-item graph; and learning  ...  ACKNOWLEDGMENTS The work described in this paper has been supported, in part, by a general research fund from the Hong Kong Research Grants Council  ... 
arXiv:1902.07243v2 fatcat:demjqw6ptvhcrkbkks7xlkg2wy

The Influence of Internet and Social Media on Purchasing Decisions in Kuwait

Khalid Abdulkareem Al-Enezi, Imad Fakhri Taha Al Shaikhli, Sufyan Salim Mahmood AlDabbagh
2018 Indonesian Journal of Electrical Engineering and Computer Science  
In light of these findings, the study made a series of recommendations; the most important are; The executives and sales representatives need to understand the benefits offered by social networks, and  ...  <span>This research aims to measure the role of social networks in influencing purchasing decisions among consumers in Kuwait; the research used the quantitative methods, and analytical the technique to  ...  Product ratings are now common in many social media sites. k. Around 23% of respondents do not trust information posted on social media, and 77% trust the information to certain extends. l.  ... 
doi:10.11591/ijeecs.v10.i2.pp792-797 fatcat:ez3i5sbccnfofntiapfduc3ck4

Graph Neural Networks for Social Recommendation

Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
2019 The World Wide Web Conference on - WWW '19  
To address the three aforementioned challenges simultaneously, in this paper, we present a novel graph neural network framework (GraphRec) for social recommendations.  ...  These advantages of GNNs provide great potential to advance social recommendation since data in social recommender systems can be represented as user-user social graph and user-item graph; and learning  ...  ACKNOWLEDGMENTS The work described in this paper has been supported, in part, by a general research fund from the Hong Kong Research Grants Council  ... 
doi:10.1145/3308558.3313488 dblp:conf/www/Fan0LHZTY19 fatcat:t56gqjjtnnbvdgno5eu5eh4yka

The Influence of Internet and Social Media on Purchasing Decisions in Egypt and a Comparison between Egypt and Kuwait

Khalid Abdulkareem, Imad Fakhri, Sufyan Salim, Khaled Alhatem
2017 International Journal of Computer Applications  
In light of these findings, the study made a series of recommendations; the most important are the executives and sales representatives, need to understand the benefits offered by social networks, and  ...  This research aims to investigate the role of social networks in influencing purchasing decisions among consumers in Egypt; moreover, compare results from this research, and the one obtained in the previous  ...  . • Trusting information posted on social networking in Egypt came, as expected, people are not 100% trusting information posted on social networking, 36% trust the information, 48% sometimes, and 16%  ... 
doi:10.5120/ijca2017915826 fatcat:ufbh7hisrbgvxamnjssb7si65y

SocialSensor

Sotiris Diplaris, Symeon Papadopoulos, Ioannis Kompatsiaris, Ayse Goker, Andrew Macfarlane, Jochen Spangenberg, Hakim Hacid, Linas Maknavicius, Matthias Klusch
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
Through the proposed DySCOs-centered media search, SocialSensor will integrate social content mining, search and intelligent presentation in a personalized, context and network-aware way, based on aggregation  ...  For example, SocialSensor will analyse the dynamic and massive user contributions in order to extract unbiased trending topics and events and will use social connections for improved recommendations.  ...  Social Networks have more and more become an integral part of the communication mix for all kinds of aims, for example (political) campaigning, awareness-raising and the like.  ... 
doi:10.1145/2187980.2188020 dblp:conf/www/DiplarisPKGMSHMK12 fatcat:4s3gsna5qzaulat2o52kab3pca
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