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Estimating the similarity of social network users based on behaviors

Thi Hoi Nguyen, Dinh Que Tran, Gia Manh Dam, Manh Hung Nguyen
2018 Vietnam Journal of Computer Science  
This paper presents a model for estimating the similarity between users based on their behavior on social networks.  ...  One of the basic issues in these challenges is the problem of estimating the similarity among users on these social networks based on their profile, interest, and behavior.  ...  However, there are not many works which estimate the similarity among social network users based on their activities on social network.  ... 
doi:10.1007/s40595-018-0112-1 fatcat:a62njozo7bf63c7vsm25zmdzau

A User Similarity Calculation Based on the Location for Social Network Services [chapter]

Min-Joong Lee, Chin-Wan Chung
2011 Lecture Notes in Computer Science  
In the social network, calculating the similarity between users is an important issue.  ...  The online social network services have been growing rapidly over the past few years, and the social network services can easily obtain the locations of users with the recent increasing popularity of the  ...  Therefore, this approach can not used for finding similar users in general. Nisgav et al. [8] proposed a method to find the user similarity in the social network.  ... 
doi:10.1007/978-3-642-20149-3_5 fatcat:vwtsferqbbdchkncw6yr5oyqde

Finding similar users in social networks

Aviv Nisgav, Boaz Patt-Shamir
2009 Proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures - SPAA '09  
We consider a system where users wish to find similar users.  ...  We prove nearly matching lower and upper bounds on that problem.  ...  It is therefore quite useful for social networks to have an automated tool which helps the interested users to classify themselves into groups of similar characteristics.  ... 
doi:10.1145/1583991.1584042 dblp:conf/spaa/NisgavP09 fatcat:dtkzu7co3jck5dwek2w7ldklmi

Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network

Md. Amirul Islam, Linta Islam, Md. Mahmudul Hasan, Partho Ghose, Uzzal Kumar Acharjee, Md. Ashraf Kamal
2021 International Journal of Advanced Computer Science and Applications  
Using network and profile similarity proposed approach can measure the similarity among the users.  ...  Friendship is one of the most important issues in online social networks (OSN). Researchers analyze the OSN to determine how people are connected to a network and how new connections are developed.  ...  In social networks, how users are connected can be known by analyzing social networks.  ... 
doi:10.14569/ijacsa.2021.0120985 fatcat:sjzk5dgh7nev3gymt25lnsbk7e

Personalized and Social Search by Finding User Similarity based on Social Networks
소셜 네트워크 기반 사용자 유사성 발견을 통한 개인화 및 소셜 검색

Gun-Woo Park, Jung-Woon Oh, Sang-Hoon Lee
2009 The KIPS Transactions PartD  
Next, we calculate Similarity among web users using their immanent information according to topics, and then reconstruct Social Network based on varying Similarity according to topics.  ...  Therefore, if we apply the Social Network which consists of web users who have similar immanent information to web search, we can improve efficiency of web search and satisfaction of web user about search  ...  이는 소셜 네트워크 (Social Network)에 존재하는 웹 사용자의 유사성(Similarity) 에 따른 검색의 공통적인 경향을 이용하면 보다 효율적인 검색을 할 수 있다는 생각에서 비롯되었다.  ... 
doi:10.3745/kipstd.2009.16d.5.683 fatcat:gunrx44yn5hezgdsvyhquhsrrq

Estimation of Evocation of Friendship Based on Similarity of Pulse Rate Variability of Users for Event-based Social Networks

Yusuke Kajiwara, Yuki Kubo, Haruhiko Kimura
2018 Sensors and materials  
Keywords: friendship, similarity of pulse rate variability of users, favorability, machine learning In contrast to traditional social network services (SNSs), event-based social networks determine close  ...  From the experimental results, we showed that the similarity of the PRVs in CFs is greater than that in SFs when the favorability rating is high and the users like each other.  ...  In contrast to traditional social network services (SNSs), event-based social networks determine close friendships (CFs) of users who share experiences and emotions with candidate friends in offline events  ... 
doi:10.18494/sam.2018.1777 fatcat:p3hkl3zyorcg7c3fppktw4e2gi

Assigning users to domains of interest based on content and network similarity with champion instances

Mattia Gasparini, Giorgia Ramponi, Marco Brambilla, Stefano Ceri
2019 Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  
The first approach is based on the content shared by the users, while the second one relies on the social network connections (following, followers, and mentions).  ...  In this paper, we propose two approaches to the problem of finding similar users to a set of champions representing domains of interest on social media.  ...  Conclusions In this paper, we compared two different approaches for extracting users similar to domain champions on social media.  ... 
doi:10.1145/3341161.3343687 dblp:conf/asunam/GaspariniR0C19 fatcat:oan6y7g2k5divke57l3a4mr5gq

Improved Stance Prediction in a User Similarity Feature Space

Kareem Darwish, Walid Magdy, Tahar Zanouda
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances.  ...  We build on prior work by making use of users' interaction elements, such as retweeted accounts and mentioned hashtags, to compute the similarities between users and to classify new users in a user similarity  ...  This is motivated by homophily, where users tend to form subgroups on social networks with common latent beliefs, and the similarity between users can help capture such beliefs.  ... 
doi:10.1145/3110025.3110112 dblp:conf/asunam/DarwishMZ17 fatcat:ri2bajuvcncixil3aw7npanqhu

Mining user similarity from semantic trajectories

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng
2010 Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks - LBSN '10  
In this paper, we propose a novel approach for recommending potential friends based on users' semantic trajectories for location-based social networks.  ...  Accordingly, we propose a user similarity measurement based on MSTP-Similarity of user trajectories and use it as the basis for recommending potential friends to a user.  ...  In recent years, a new breed of social networking services, called location-based social networks (LBSNs), have emerged.  ... 
doi:10.1145/1867699.1867703 dblp:conf/gis/YingLLWT10 fatcat:z5iq4l52fjar7nouzzh33phl4q

Computing Similarity between Users on Location-Based Social Networks

Soha Mohamed, Alia Abdelmoty
2016 International Journal on Advances in Intelligent Systems   unpublished
In this paper, we study how such place-oriented profiles can be used to represent similarity between users of Location-Based Social Networks (LBSN).  ...  The main contribution of this work is the demonstration of how the different data dimensions captured on location-based social networks can be combined to represent useful views of user profiles and to  ...  CONCLUSIONS This paper considers the problem of user profiling on location-based social networks.  ... 
fatcat:57ooa4v66bdcrdfnme4efnbl74

A Differentially Private Matching Scheme for Pairing Similar Users of Proximity Based Social Networking applications

Michael Sommer, Lipyeow Lim, Depeng Li
2018 Proceedings of the 51st Hawaii International Conference on System Sciences   unpublished
Specifically, we match users in a proximity-based social network setting adapted from a framework of differential privacy.  ...  The pervasiveness of smartphones has made connecting with users through proximity based mobile social networks commonplace in today's culture.  ...  Social networking applications often utilize LBSs in Proximity Based Social Networking (PBSN), which is commonly used to match users based on similarities in interests in things like music, sports, movies  ... 
doi:10.24251/hicss.2018.231 fatcat:4ho6rq23obfcnekoso53nbzrny

Two-Stage User Identification Based on User Topology Dynamic Community Clustering

Jiajing Zhang, Zhenhua Yuan, Neng Xu, Jinlan Chen, Juxiang Wang, M. Irfan Uddin
2021 Complexity  
Firstly, we perform community clustering on different social networks, calculate the similarity between different network communities, and screen out community pairs with greater similarity.  ...  In order to solve the problem of node information loss during user matching in the existing user identification method of fixed community across the social network based on user topological relationship  ...  Social networks connect users on the Internet, allowing users to communicate and interact, forming a virtual social behavior similar to reality.  ... 
doi:10.1155/2021/5567351 fatcat:6ei7satub5c7dd5rahfkdv6yly

Personalizing of Content Dissemination in Online Social Networks

Abeer ElKorany, Khaled ElBahnasy
2013 International Journal of Advanced Computer Science and Applications  
Similarity between users within OSN is calculated based on users' social activity which is an integration of content published as well as social pattern Application of this framework to a representative  ...  Users of social networks connect with each other and forming their own communities.  ...  While content published by a user is used as an indicator of user interest, social pattern parameters tend to group people based on their similar networking behaviour.  ... 
doi:10.14569/ijacsa.2013.041201 fatcat:ym42pi32wndxvbbezukmekvmdi

Similarity Metrics on Social Networks [chapter]

Cuneyt Gurcan Akcora, Elena Ferrari
2016 Encyclopedia of Social Network Analysis and Mining  
Profile data User-uploaded text-based personal information on social networks. Undirected network Network where relationships are created by mutual consent of the two involved users.  ...  At the basis of most of these computations, there is the need of computing similarity between social network users.  ...  Depending on the type of user data, similarity metrics differ in how they model a social network user.  ... 
doi:10.1007/978-1-4614-7163-9_252-1 fatcat:b3gpylvvnveobeo5qsjeb2u5g4

Multi-attribute identity resolution for online social network

Shalini Yadav, Adwitiya Sinha, Pawan Kumar
2019 SN Applied Sciences  
The similar profiles are linked to eradicating their distinctive impact from the originally constructed social network.  ...  Our research is focused on developing a novel identity resolution framework for detecting redundant user profiles on Twitter social media constructed with nodes, ranging from small-scale to massive-scale  ...  The lifeblood of SNS is User-Generated Content • Searching This involves processing the list of user identities on the social network, which is similar to an existing profile [1] .  ... 
doi:10.1007/s42452-019-1701-z fatcat:ftjqtwiczzgxfgtbfa6tyoc5pu
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