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Geo-Social Media Analytics

Cheng-Te Li, Hsun-Ping Hsieh
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
While users in geo-social media are interweaved within both online and offline social networks, one may think are there any characteristics of offline social networks that differ online, how to connect  ...  In geo-social media, users are allowed to specify their social connections in their friend lists, which can be regarded as a kind of online social network.  ... 
doi:10.1145/2740908.2741985 dblp:conf/www/LiH15 fatcat:wejwlyedfng5fhlx3qfppfvrvy

Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media

Abeer Aldayel, Walid Magdy
2019 Proceedings of the ACM on Human-Computer Interaction  
However, the stance in social media can be inferred from a mixture of signals that might reflect user's beliefs including posts and online interactions.  ...  We compare multiple set of features, including on-topic content, network interactions, user's preferences, and online network connections.  ...  Network Features to Detect Unexpressed View Another stream of research on social media analysis has shown the large split in the networks of online social media [24, 25] .  ... 
doi:10.1145/3359307 fatcat:iktdw23mk5cedio6aymtuhojga


Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han
2011 Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11  
We introduce a heterogeneous network model for social media with 'likes', and propose 'like' mining algorithms to estimate representativeness and influence of objects.  ...  In this demo, we propose a system called LikeMiner to mine the power of 'like' in social media networks.  ...  The major contributions are: (a) we introduce a heterogeneous like network model for social media; (b) we propose to construct both visual and textual topic space for social media objects; (c) we propose  ... 
doi:10.1145/2020408.2020528 dblp:conf/kdd/JinWLYH11 fatcat:zltfm3ofdngcrjpyp7goyqrr5i

Kernel Optimized Regression Model for Product Recommendation Connecting Social media to E-Commerce

Lija John
2018 International Journal for Research in Applied Science and Engineering Technology  
To establish a link between social media application and e -commerce portal and recommend the product to the users in cold start situation. B. LDA is used to obtain the topics.  ...  Today, many e-commerce sites are accessible through the use of user social network accounts like Facebook, Weibo, etc. Users of social media can post their recently purchased products.  ...  In response to this challenge, it recommends users on social media application and e-commerce portal as a bridge, mapping the user's social networking capabilities to the potential features of product  ... 
doi:10.22214/ijraset.2018.5087 fatcat:mrwksmen6jfqpo7q5ibqvrnyg4

Survey on Matching Of Users in Social Networks Using Friend Book

Ms. D.Saral Jeeva Jothi, Ms.R. Ramyadevi
2017 International Journal Of Engineering And Computer Science  
A methodology called MOdeling Behaviour for Identifying Users across Sites (MOBIUS) is used for finding a mapping among identities of individuals in social media sites.  ...  In this survey paper we aims to address the identical user identification problem and recommending friends based on lifestyle of the users in social networking sites (SNS).  ...  By connecting users with similar interests, online social networks open up a new platform for information sharing and social networking.  ... 
doi:10.18535/ijecs/v6i2.10 fatcat:jc4dxf5bvfewzaaxcd5d7wvfm4

An Insight on Social Media Stream Mining

Rojina Deuja, Krishna Bikram Shah
2019 SCITECH Nepal  
The streams are dynamic and ever-shifting and need to be analysed online as they are obtained. Social media is one of the notable sources of such data streams.  ...  It is indeed a challenge to mine such dynamic data from social networks in an uninterrupted and competent way.  ...  According to the classical approach for link prediction, the social network is fi t into a model and then the model is used for link prediction.  ... 
doi:10.3126/scitech.v14i1.25532 fatcat:i2focs3ijjamxbhu6zyfgupl7i

Online popularity and topical interests through the lens of instagram

Emilio Ferrara, Roberto Interdonato, Andrea Tagarelli
2014 Proceedings of the 25th ACM conference on Hypertext and social media - HT '14  
Instagram exhibits a mixture of features including social structure, social tagging and media sharing.  ...  The network of social interactions among users models various dynamics including follower/followee relations and users' communication by means of posts/comments.  ...  Instagram represents an unprecedented environment of study, in that it mixes features of various social media and online social networks (including the ability of creating user-generated content in the  ... 
doi:10.1145/2631775.2631808 dblp:conf/ht/FerraraIT14 fatcat:2cmmougkanfxjklxhhtvzhbqaq

Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review

Massimo Stella
2021 Topics in Cognitive Science  
Since social media data come from users' minds, worthy candidates for this challenge are cognitive networks, models of cognition giving structure to mental conceptual associations.  ...  Social media are digitalizing massive amounts of users' cognitions in terms of timelines and emotional content.  ...  Daniele Marinazzo for stimulating feedback.  ... 
doi:10.1111/tops.12551 pmid:34118113 fatcat:6x3o3kk6azbtxhwfbwg67dp22q

Social Media Analysis on Evaluating Organisational Performance a Railway Service Management Context

Jie Yang, Ahm Mehbub Anwar
2016 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)  
Topic modelling and sentiment analysis techniques are employed to analyse collected tweets for evaluating the organisational performance.  ...  Topic modelling and sentiment analysis techniques are employed to analyse collected tweets for evaluating the organisational performance.  ...  Social media has been regarded as an efficient tool for boosting cooperation and benefits in inter and intra businesses networks.  ... 
doi:10.1109/dasc-picom-datacom-cyberscitec.2016.143 dblp:conf/dasc/YangA16 fatcat:i7iibl72pnf3zhjxhq74oimcvq

Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic [article]

Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning, Sajal K Das, Chris Nugent, Devin Burns, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White
2021 arXiv   pre-print
Online social media provides a channel for monitoring people's social behaviors and their mental distress.  ...  Consequently, there is a significant amount of diverse user-generated social media content.  ...  In the context of topic modeling for psychological distress detection, the generated topics are considered the linguistic features of the user.  ... 
arXiv:2105.08165v1 fatcat:s6kfnft73zbkvoqbtfqmg7xtlu

Cognitive network science for understanding online social cognitions: A brief review [article]

Massimo Stella
2021 arXiv   pre-print
Since social media data come from users' minds, worthy candidates for this challenge are cognitive networks, models of cognition giving structure to mental conceptual associations.  ...  Social media are digitalising massive amounts of users' cognitions in terms of timelines and emotional content.  ...  A quantitative model for studying perception through social media data should be related to understanding how social media users perceive events through their online discussions.  ... 
arXiv:2102.12799v1 fatcat:rcfb7juxwvhttm4ql5ehr2bx4u

Discriminative Topic Mining for Social Spam Detection

Long Song, Raymond Y. K. Lau, Chunxiao Yin
2014 Pacific Asia Conference on Information Systems  
However, increasingly more misleading and deceptive user comments found at online social media have also been a great concern for consumers and merchants, and social spam have been brought to the attention  ...  In the era of Social Web, there has been an explosive growth of user-contributed comments posted to various online social media.  ...  online social networks like YouTube.  ... 
dblp:conf/pacis/SongLY14 fatcat:6o33iy5rhrbrjc3m26rkfyuxwe

The Homophily Principle in Social Network Analysis [article]

Kazi Zainab Khanam, Gautam Srivastava, Vijay Mago
2020 arXiv   pre-print
In recent years, social media has become a ubiquitous and integral part of social networking.  ...  in multiple types of social networks and we conclude with a critical discussion of open challenges and directions for future research.  ...  ACKNOWLEDGMENTS We would like to thank the reviewers for their helpful comments on our work. This work is supported by Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
arXiv:2008.10383v1 fatcat:3bdyhujsyjfmbjd7galcgccx3y

Advances in Social Media Research: Past, Present and Future

Kawaljeet Kaur Kapoor, Kuttimani Tamilmani, Nripendra P. Rana, Pushp Patil, Yogesh K. Dwivedi, Sridhar Nerur
2017 Information Systems Frontiers  
detecting Real-time event and topic detection on Twitter spam accounts osns detection malicious osn twitter spammers user feature detect bots networks attacks online fake large account urls detecting  ...  residency programs user content behaviour patterns social activity activities online types interaction analysis network feature profile share identify networks characteristics user generated active  ... 
doi:10.1007/s10796-017-9810-y fatcat:nw5w2cxkynfztfbzzcnm6nfgy4

Characterizing the role of bots' in polarized stance on social media

Abeer Aldayel, Walid Magdy
2022 Social Network Analysis and Mining  
This study fills in the gap by analyzing if these bots are part of the signals that formulated social media users' stances towards controversial topics.  ...  Current studies on assessing the overall effect of bots on social media users mainly focus on evaluating the diffusion of discussions on social networks by bots.  ...  H1 The presence of bots is an influential feature for predicting stance in an online social network. H2 For some topics, bots might have a presence in a certain stance over the other.  ... 
doi:10.1007/s13278-022-00858-z pmid:35136453 pmcid:PMC8814794 fatcat:7j2udqdpkvapjp7buapc2lgbsq
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