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Topic-oriented community detection of rating-based social networks

Ali Reihanian, Behrouz Minaei-Bidgoli, Hosein Alizadeh
2016 Journal of King Saud University: Computer and Information Sciences  
In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different objects (like movies) by means  ...  Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis.  ...  proposed a topic-oriented community detection approach based on social objects' clustering and link analysis.  ... 
doi:10.1016/j.jksuci.2015.07.001 fatcat:bhhles57z5a75mbt5fuj3kxjhy

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

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
2014 arXiv   pre-print
These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them.  ...  Social network has gained remarkable attention in the last decade.  ...  Communities on social networks, like any other communities in the real world, are very complex in nature and difficult to detect.  ... 
arXiv:1312.4617v2 fatcat:7zulil64vfhrpeexj5mcs7canq

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  
These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them.  ...  Social network has gained remarkable attention in the last decade.  ...  Communities on social networks, like any other communities in the real world, are very complex in nature and difficult to detect.  ... 
doi:10.23956/ijarcsse/v7i1/0125 fatcat:wdtrh5du7ja3tkby5qoc7gmplm

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

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
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  ...  The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  , event detection, product marketing). • Topic 3 -Community Detection: This category covers works that use social semantics for the detection of communities in OSNs.  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Automatic Detection of Rumor on Social Network [chapter]

Qiao Zhang, Shuiyuan Zhang, Jian Dong, Jinhua Xiong, Xueqi Cheng
2015 Lecture Notes in Computer Science  
The proposed implicit features are effective in rumor detection on social network.  ...  The rumor detection problem on social network has attracted considerable attention in recent years.  ...  We use social influence to measure the impact of one user in the information diffusion process. Social Influence refers to the communicative influence of one user on social network.  ... 
doi:10.1007/978-3-319-25207-0_10 fatcat:c3q4n3adkzhq3idlfvi2r7v6cm

Biosociolink: A Decision Support System for Analyzing Link Properties in Biological and Social Networks

2019 International Journal of Engineering and Advanced Technology  
Some of the predominant network cases include biological and social sciences. There is a growing need to extract knowledge patterns from network orientations.  ...  Network based data representation has received widespread attention over the years. Data is oriented in graph format by aligning information as nodes and edges.  ...  ACKNOWLEDGMENT The authors are grateful to DST-PhD scholarship sponsored by KSTePS, Government of Karnataka and Visveshvaraya Technological University, Jnana Sangama, Belagavi for providing financial assistance  ... 
doi:10.35940/ijeat.a1914.109119 fatcat:dqewkjngpfcohfrlngrmhxjmy4

SocialTrust++: Building community-based trust in Social Information Systems

James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
2010 Proceedings of the 6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing  
Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable  ...  For example, the presence of poor quality users and users intent on manipulating the system can disrupt the quality of socially-powered information and knowledge sharing applications.  ...  ., Web-based social network, enterprise information sharing network, may be reasonable to adjust the model based on domain knowledge.  ... 
doi:10.4108/icst.collaboratecom.2010.40 dblp:conf/colcom/CaverleeCEHKKKKL10 fatcat:t6dytjhuljb65gf43s2dtralze

Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks

Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai
2021 IEEE Transactions on Network Science and Engineering  
In "Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases," Tsitseklis et al. propose an enhancement of a Girvan-Newmanlike community detection approach  ...  In "Multilayer Feature-Rich Satellite Network Analysis: An Application-Oriented and Time-Evolving Approach," Gao and Fang study satellite communication networks based on a multilayer feature-rich model  ... 
doi:10.1109/tnse.2021.3073824 fatcat:vdd4jtbiefa6pee3bhfzonhp4q

LATTE: Application Oriented Social Network Embedding [article]

Lin Meng, Jiyang Bai, Jiawei Zhang
2019 arXiv   pre-print
, e.g., community detection or information diffusion.  ...  In this paper, we propose study the application oriented heterogeneous social network embedding problem.  ...  Experimental Result: Community Detection Oriented Network Embedding In Figure 1 , we show the experimental results of the community detection oriented network embedding task, evaluated by ndbi, silhouette  ... 
arXiv:1711.11466v3 fatcat:udaxmgtl5rg5fpk6w4xmzq3eue

Attribute Driven Temporal Active Online Community Search

Badhan Chandra Das, Md. Musfique Anwar, Md. Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, Mohammad Ali Moni
2021 IEEE Access  
A fair amount of topic-oriented methodologies have been proposed that consider the attributes of the users jointly with social connections to discover general communities based on the whole social graph  ...  Gu et al. proposed a social community detection scheme for mobile social networks based on social-aware, including social attribute similarity, node interest similarity and node mobility in mobile social  ... 
doi:10.1109/access.2021.3093368 fatcat:n5v2sdryufayhhvhbee3jsovri

An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification [chapter]

Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang
2014 Lecture Notes in Computer Science  
Our model achieved an accuracy of 70.1% for user party detection task.  ...  Discovering user demographic attributes from social media is a problem of considerable interest. The problem setting can be generalized to include three components -users, topics and behaviors.  ...  Topic-independent social behavior is an important component used in several studies for prediction, recommendation and community detection tasks.  ... 
doi:10.1007/978-3-319-06608-0_36 fatcat:o6xkausj3fg5ngwq2mkimbjpna

Recommending Users and Communities in Social Media

Lei Li, Wei Peng, Saurabh Kataria, Tong Sun, Tao Li
2015 ACM Transactions on Knowledge Discovery from Data  
We present a generative topic model to discover user-oriented and community-oriented topics simultaneously, which enables us to capture the exact topical interests of users, as well as the focuses of communities  ...  In this article, we propose a unified framework of recommending users and communities that utilizes the information in social media.  ...  ; -if we only consider community-oriented topics, the detected topic structure might be very loose.  ... 
doi:10.1145/2757282 fatcat:bm3lzlk7dres3kd5qxxgx22hhy

Leveraging Textual Sentiment Analysis with Social Network Modelling: Sentiment Analysis of Political Blogs in the 2008 U.S. Presidential Election [chapter]

Wojciech Gryc, Karo Moilanen
2014 Discourse Approaches to Politics, Society and Culture  
Automatic computational analysis and categorisation of political texts with respect to the rich array of personal sentiments, opinions, stances, and political orientations expressed in polarised political  ...  The task does however pose major challenges for state-of-the-art  ...  Such a inter-document network can help elucidate clusters and communities based on topics -not wholly unlike how we use community detection algorithms as part of the social network analysis to locate groups  ... 
doi:10.1075/dapsac.55.03gry fatcat:xrxqrm6zajarne4uuyfcquxmay

Personal Social Screen--A Dynamic Privacy Assignment System for Social Sharing in Complex Social Object Networks

Lei Li, Tong Sun, Tao Li
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
Online social networks allow millions of individuals to create online profiles and share information with vast networks of friends, and often, unknown strangers.  ...  Our proposed system, Personal Social Screen (PerCial), first automatically detects a two-level topicsensitive community hierarchy using the available resources, and then assigns privacy preference for  ...  To this end, we first detect atomic communities based on multiple relations of users, and then perform a hierarchical agglomerative clustering on small communities of the network under the constraint of  ... 
doi:10.1109/passat/socialcom.2011.147 dblp:conf/socialcom/LiSL11 fatcat:5z4fey2ktvbini4ltkr7bk74vu

The effect of political polarization on social distance stances in the Brazilian COVID-19 scenario

Régis Ebeling, Carlos Abel Córdova Sáenz, Jeferson Nobre, Karin Becker
2021 Journal of Information and Data Management  
, c) network analysis and community detection to characterize their behavior as a social network group and d) analysis of linguistic characteristics to identify psychological aspects.  ...  As a group, the network of Cloroquiners is more closed and connected, and Quarenteners have a more diverse political engagement with a community of users polarized only with left-wing politicians and his  ...  Community detection is a technique frequently used to analyze social networks [Bazzan 2020; Bedi and Sharma 2016; Conover et al. 2011 ].  ... 
doi:10.5753/jidm.2021.1889 fatcat:2bs72eafx5glhmx5bdrabuya7y
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