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Estimating the similarity of social network users based on behaviors
2018
Vietnam Journal of Computer Science
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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]
2011
Lecture Notes in Computer Science
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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
2009
Proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures - SPAA '09
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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
2021
International Journal of Advanced Computer Science and Applications
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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
2009
The KIPS Transactions PartD
소셜 네트워크 기반 사용자 유사성 발견을 통한 개인화 및 소셜 검색
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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
2018
Sensors and materials
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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
2019
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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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
2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17
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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
2010
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks - LBSN '10
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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
2016
International Journal on Advances in Intelligent Systems
unpublished
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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
2018
Proceedings of the 51st Hawaii International Conference on System Sciences
unpublished
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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
2021
Complexity
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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
2013
International Journal of Advanced Computer Science and Applications
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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]
2016
Encyclopedia of Social Network Analysis and Mining
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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
2019
SN Applied Sciences
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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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