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A picture tells a thousand words—About you! User interest profiling from user generated visual content

Quanzeng You, Sumit Bhatia, Jiebo Luo
2016 Signal Processing  
We posit that images posted by users on online social networks are a reflection of topics they are interested in and propose an approach to infer user attributes from images posted by them.  ...  We employ image-level similarity to propagate the label information between images, as well as utilize the image category information derived from the user created organization structure to further propagate  ...  Related Work User Profiling from Online Social Networks It is discovered that in social network people's relationship follows the rule birds of a feather flock together [9] .  ... 
doi:10.1016/j.sigpro.2015.10.032 fatcat:ij3owg6zxjejzg7ji3owumceaq

A Picture Tells a Thousand Words -- About You! User Interest Profiling from User Generated Visual Content [article]

Quanzeng You, Sumit Bhatia, Jiebo Luo
2015 arXiv   pre-print
We posit that images posted by users on online social networks are a reflection of topics they are interested in and propose an approach to infer user attributes from images posted by them.  ...  A real life social network dataset created from Pinterest is used for evaluation and the experimental results demonstrate the effectiveness of our proposed approach.  ...  User Profiling from Online Social Networks It is discovered that in social network people's relationship follows the rule birds of a feather flock together [McPherson et al., 2001] .  ... 
arXiv:1504.04558v1 fatcat:n7ufgrzb3ncdvbrgttvmwwnmre

Relational large scale multi-label classification method for video categorization

Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko
2012 Multimedia tools and applications  
A new Iterative Multi-label Propagation (IMP) algorithm for relational learning in multi-label data is proposed.  ...  The experiments carried out on 5-million videos dataset revealed the good efficiency of the multi-label classification for videos categorization.  ...  Acknowledgements The method presented in the paper is an extended description of algorithm proposed in [10] Open Access This article is distributed under the terms of the Creative Commons Attribution  ... 
doi:10.1007/s11042-012-1149-2 fatcat:xkxofm4fijbh5b72rznopt6njy

MAP: Microblogging Assisted Profiling of TV Shows [chapter]

Xiahong Lin, Zhi Wang, Lifeng Sun
2015 Lecture Notes in Computer Science  
relationship of its microblogging users and its propagation in the social network; iii) We present some interesting analysis, based on our framework to profile real-world TV shows.  ...  In this paper, we propose a microblogging profiling framework, to provide a social demonstration of TV shows.  ...  A TV show provider gives 3 labels to each TV show to categorize its content. We use such content labels to infer users' preferences of video contents.  ... 
doi:10.1007/978-3-319-14445-0_38 fatcat:rpaq6bvwcjepvbzzfvz3gwvck4

Social Media Identity Deception Detection: A Survey [article]

Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, Ibrahim Khalil
2021 arXiv   pre-print
This survey analyses various identity deception attacks, which can be categorized into fake profile, identity theft and identity cloning.  ...  Social media have been growing rapidly and become essential elements of many people's lives. Meanwhile, social media have also come to be a popular source for identity deception.  ...  The interaction graph was used to label the propagation process. The extracted features are categorized into user profile, content level and interaction network.  ... 
arXiv:2103.04673v1 fatcat:zf6xcn3pafcgfbxmoewc3yhhpi

Identifying Dynamic Topics of Interest across Social Networks

Mohamed Salaheldin Aly, Abeer Al
2018 International Journal of Advanced Computer Science and Applications  
Information propagation plays a significant role in online social networks, mining the latent information produced became crucial to understand how information is disseminated.  ...  It can be used for market prediction, rumor controlling, and opinion monitoring among other things.  ...  in major social networks.  ... 
doi:10.14569/ijacsa.2018.090845 fatcat:utvdw7ss2bcy5e4ki7i4hd2aze

Predicting Attributes of User Profile in Social Networks by Analyzing Communities of their Ego-Network
Предсказание атрибутов профиля пользователя социальной сети путем анализа сообществ графа его ближайшего окружения

В.О. Чесноков
2017 Herald of the Bauman Moscow State Technical University Series Instrument Engineering  
User attributes, such as occupation, education, and location, are important for many applications. In this paper, we study the problem of profiling user attributes in social network.  ...  It iteratively profiles attributes by propagation via certain types of connections, and profiles types of connections based on attributes and the network structure.  ...  method [13] recently proposed for user profiling in a full social network as our third baseline.  ... 
doi:10.18698/0236-3933-2017-2-66-76 fatcat:ple7yvg7bbetzktzc2ccgrosua

Dynamic Label Propagation in Social Networks [chapter]

Juan Du, Feida Zhu, Ee-Peng Lim
2013 Lecture Notes in Computer Science  
In social networks, building complete user profiles like interests and affiliations contributes to the systems like link prediction, personalized feeding, etc.  ...  propagating the whole network with at least one label.  ...  Related Work To our knowledge, there is no work on dynamic label propagation in social network.  ... 
doi:10.1007/978-3-642-37450-0_14 fatcat:m5qd2gzojnhfrhictopo5sptwy

User Identity Linkage across Online Social Networks

Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu
2017 SIGKDD Explorations  
Each user may create a user identity, which can includes profile, content, or network information, to represent his or her unique public figure in every social network.  ...  User identity linkage across online social networks is an emerging task in social media and has attracted increasing attention in recent years.  ...  by a local expansion propagation algorithm. • User-Matching [32] : This paper proposes an efficient propagation algorithm for online social networks, which uses neighborhood-based network features. •  ... 
doi:10.1145/3068777.3068781 fatcat:zuh6dpjzarcf3ftbdx7k7o6wqy

Pairwise structural role mining for user categorization in information cascades

Sarvenaz Choobdar, Pedro Ribeiro, Fernando Silva
2015 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15  
The experimental results suggest that our method can improve the quality of roles membership of users and can better represent the profile of users in the network, hence it is a better predictor for social  ...  We compare the predictability of discovered roles by our method against some baseline methods for predicting social classes of users in different information cascades in two social networks, Flickr and  ...  Social roles in information cascades Information propagation in social networks has been widely studied for a number of years from different aspects.  ... 
doi:10.1145/2808797.2808909 dblp:conf/asunam/ChoobdarRS15 fatcat:q2rptkeahvdmtfrfgxvpt6xq6m

A Reference Dataset for Network Traffic Activity Based Intrusion Detection System

Raman Singh, Harish Kumar, R.K. Singla
2015 International Journal of Computers Communications & Control  
For the activities based IDSs, proper network traffic activity labeled dataset is the first requirement, however non-availability of such datasets is bottlenecked in the field of IDS research.  ...  University of New Brunswick Network Security Laboratory -Knowledge Disscovery in Databases (NSL-KDD) is a benchmark dataset for anomaly detection but it does not contain activity based labeling.  ...  Phase II (TEQIP -II) in the form of research assistantship.  ... 
doi:10.15837/ijccc.2015.3.1924 fatcat:bjcor4zsrrf5hmo45p6nihn4ie

User-Generated Content (UGC) Credibility on Social Media Using Sentiment Classification

Esraa Afify, Ahmed Sharaf Eldin, Ayman E. Khedr, Fahad Kamal Alsheref
2019 النشرة المعلوماتیة فی الحاسبات والمعلومات  
Because online users face difficulty in finding which piece of information is credible or not, the researchers found that assessing User-Generated Content (UGC) of social media is very important in resolving  ...  approach for measuring posts credibility.  ...  Network-based: Users compose various networks on social media in terms of interests, topics, and relations.  ... 
doi:10.21608/fcihib.2019.107506 fatcat:w4vazjtyl5h6zdz2kol2vn5hsy

Integration of scientific and social networks

Mahmood Neshati, Djoerd Hiemstra, Ehsaneddin Asgari, Hamid Beigy
2013 World wide web (Bussum)  
matching profiles among some candidate profiles for matching.  ...  The first problem concerns finding those profiles in one network, which presumably have a corresponding profile in the other network and the second problem concerns the name disambiguation to find true  ...  -Multiple reference: Although the majority of people have only one profile in the social and scientific networks, in some cases, more than one profile may exist for an individual in a network.  ... 
doi:10.1007/s11280-013-0229-1 fatcat:4mfkceeaxnbnnja6nfwgoo7eti

Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi
2021 IEEE Access  
Figure 5 presents ECDF plots for our user-based profile features, and figure 6 shows ECDF plots for network-based features for both True and False news labels.  ...  Therefore poster's social network context and their propagation network/community are also exploited in our investigations.  ...  Figure 13 shows a single fake news article's propagators community and figure 14 is for the true news. The difference between both community's structure is com-  ... 
doi:10.1109/access.2021.3119404 fatcat:x6bfbpq2cjbdhg3fx7uiw55jgm

Applying link-based classification to label blogs

Smriti Bhagat, Irina Rozenbaum, Graham Cormode
2007 Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis - WebKDD/SNA-KDD '07  
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects.  ...  We study the problem of inferring the classification of all the objects from a labeled subset, using only the link-based information amongst the objects.  ...  [19, 10] introduced Relational Markov Networks (RMN), a discriminative model based on Markov networks. Generalized Belief Propagation [21] is used for propagation of labels in the network.  ... 
doi:10.1145/1348549.1348560 fatcat:jmep7twdmfbibeeewd47b7zsb4
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