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Social media mining and knowledge discovery

Jinhui Tang, Dacheng Tao, Guo-Jun Qi, Benoit Huet
2014 Multimedia Systems  
and video sharing platforms, forums, newsgroups, blogs, micro-blogs, bookmarking services, and locationbased services.  ...  To be accompanied by, increasingly rich and massive heterogeneous media data have been generated by the users, such as images, videos, audios, tweets, tags, categories, titles, geo-locations, comments,  ...  They evaluate the approaches on a collection of micro-blogs crawled from Twitter over a period of ten months and compare them to standard tf-idf approaches.  ... 
doi:10.1007/s00530-014-0423-8 fatcat:y7wka2gc3nht3bwq6ojubauirq


Younghoon Kim, Jiawei Han, Cangzhou Yuan
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
This enables us to not only browse information based on locations, but also discover patterns in the location-based behaviors of users.  ...  In this paper, we present a latent topic-based clustering algorithm to discover patterns in the trajectories of geo-tagged text messages.  ...  while posting geo-tagged messages in micro-blogging services.  ... 
doi:10.1145/2783258.2783342 pmid:26709365 pmcid:PMC4689145 dblp:conf/kdd/KimHY15 fatcat:m6bc5c7ie5aybchospmayypsdm

Characterizing popularity dynamics of hot topics using micro-blogs spatio-temporal data

Lianren Wu, Jinjie Li, Jiayin Qi
2019 Journal of Big Data  
In addition, most of the Micro-blogging topics are global topic.  ...  Thirdly, we analyzed temporal patterns and spatial patterns of popularity dynamics of topics by statistical methods.  ...  Acknowledgements This work was supported by the project of National Natural Science Foundation of China (No. 71601005).  ... 
doi:10.1186/s40537-019-0266-4 fatcat:l6fg775lo5cppmzx7gfobj2fsa

Survey on social networking services

Rizwana Irfan, Sajjad Ahmad Madani, Khizar Hayat, Hongxiang Li, Samee U. Khan, Rajiv Ranjan, Imran A. Khan, Joanna Kolodziej, Babar Nazir, Dan Chen, Lizhe Wang, Gage Bickler
2013 IET Networks  
The SNP is a Web-based social space, specifically designed for end user-driven applications that facilitate communication, collaboration, and sharing of the knowledge through a variety of SNSs, such as  ...  In the conventional SNPs, such as Facebook, LinkedIn, and MySpace, computers are not capable of acquiring the information based on the common intelligence and human behavior.  ...  Khan's work was partly supported by the Young International Scientist Fellowship of the Chinese Academy of Sciences, (Grant No. 2011Y2GA01).  ... 
doi:10.1049/iet-net.2013.0009 fatcat:gpnxhfeuqfgsxjpzpo7nk7sc5e

Spatiotemporal Analysis of Geoweb Media

Kim Kyoung-Sook
2012 Journal of NICT  
TwitterStand in [18] is a news processing system by clustering geo-tagged tweets as another version of News-Stand for micro-blogging messages.  ...  Finally, we present an application system on the basis of the moving phenomena platform that manages micro-blogging messages like tweets and analyzes spatiotemporal patterns of topic trends on the messages  ... 
doi:10.24812/nictjournal.59.3.4_183 fatcat:uzhi4fcm65dqro4w7hsfggikem

Discover Patterns and Mobility of Twitter Users—A Study of Four US College Cities

Yue Li, Qinghua Li, Jie Shan
2017 ISPRS International Journal of Geo-Information  
Discovery of user behavior patterns from geo-tagged micro-blogs.  ...  Keywords: spatial patterns; temporal patterns; human mobility; human dynamics; Twitter; social media 1. Introduction Twitter is the most popular micro-blogging service in the world.  ... 
doi:10.3390/ijgi6020042 fatcat:ttjdzloukjd7znsdfp2bm4uoli

Discovering and predicting user routines by differential analysis of social network traces

Fabio Pianese, Xueli An, Fahim Kawsar, Hiroki Ishizuka
2013 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)  
We approach the problem of activity pattern discovery from a new perspective which is rapidly gaining attention.  ...  The study of human activity patterns traditionally relies on the continuous tracking of user location.  ...  As a large number of Foursquare users also publish their check-in information on the Twitter micro-blogging service via geo-tagged tweet messages, we crawl Twitter and collect the message history for users  ... 
doi:10.1109/wowmom.2013.6583383 dblp:conf/wowmom/PianeseAKI13 fatcat:767wufx5mjahbh433fm4kgk22m

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2019 Journal of Grid Computing  
We highlight the limitations of existing techniques and accordingly propose solutions to address the shortcomings.  ...  We classify techniques and methodologies according to event types, orientation of content, event detection tasks, their evaluation, and common practices.  ...  Data is collected from tweets generated by 313K randomly selected users from Twitter and 116K users participating in hot events recommended by the Sina Weibo micro-blogging service.  ... 
doi:10.1007/s10723-019-09482-2 fatcat:lypwnpnmonb3laa3koftllchby

Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Courtney Corley, Diane Cook, Armin Mikler, Karan Singh
2010 International Journal of Environmental Research and Public Health  
We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.  ...  wide dissemination of pertinent information.  ...  Department of Energy under contract DE-AC05-76RL01830. The contents of this publication are the responsibility of the authors and do not necessarily represent the official views of the NSF.  ... 
doi:10.3390/ijerph7020596 pmid:20616993 pmcid:PMC2872292 fatcat:qsqq3g2htfdifizd4b7evmjdye

A Novel Popular Tourist Attraction Discovering Approach Based on Geo-Tagged Social Media Big Data

Xia Peng, Zhou Huang
2017 ISPRS International Journal of Geo-Information  
We carry out tourist attraction discovery experiments based on the Flickr geotagged images within the urban area of Beijing from 2005 to 2016.  ...  These kinds of spatiotemporal data provide a new perspective for us to observe the human movement behavior.  ...  Vu and Chen performed the analysis of travel behaviors and movement patterns after finding attractions from geo-tagged photos [23, 24] .  ... 
doi:10.3390/ijgi6070216 fatcat:emfzp3c7rrc7tn23tyculotxpi

Geotagging in multimedia and computer vision—a survey

Jiebo Luo, Dhiraj Joshi, Jie Yu, Andrew Gallagher
2010 Multimedia tools and applications  
Geo-tagging is a fast-emerging trend in digital photography and community photo sharing.  ...  In this paper, we survey geo-tagging related research within the context of multimedia and along three dimensions: 1) Modalities in which geographical information can be extracted, 2) Applications that  ...  As an example, the micro-blogging service Twitter now provides a way to geo-tag one's tweets by choice.  ... 
doi:10.1007/s11042-010-0623-y fatcat:esd7subpbjhntpes6quvngtwti

From Interest to Function: Location Estimation in Social Media

Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua
Different from the previous literature, we find that user's location is strongly related to user interest. Based on this, we first build a detection model to mine user interest from short text.  ...  The high-dimension content generated by these users provides an unique opportunity to understand their behavior deeply.  ...  This work was supported by the National Natural Science Foundation of China (60973105, 90718017, 61170189, and 61202239)  ... 
doi:10.1609/aaai.v27i1.8587 fatcat:cmdulhr625f6bjoovh67tmzjim

Towards Automatic and Accurate Lead User Identification

Sanjin Pajo, Paul-Armand Verhaegen, Dennis Vandevenne, Joost R. Duflou
2015 Procedia Engineering  
data mining methods and algorithms on rich social networking sites like the micro blogging site Twitter, is proposed.  ...  Social sites provide easy access to rich data for extraction and analysis of extended user information and behavior, enabling assessment and classification of lead users with dissimilar expertise as an  ...  FLUID Data mining facilitates extraction of models and patterns from data to better systematically determine user characteristics, behaviors and needs.  ... 
doi:10.1016/j.proeng.2015.12.445 fatcat:2w34wf3xqnag5gj6nnoaaica4q

Analyzing Flickr metadata to extract location-based information and semantically organize its photo content

Evaggelos Spyrou, Phivos Mylonas
2016 Neurocomputing  
Within these geo-clusters, we further identify semantically meaningful "places" of user interest, by analyzing any additional textual metadata available, i.e., user selected tags that characterize each  ...  Trying to study the problem from the user perspective, we analyze user-generated photos uploaded to famous Flickr social network, in order to extract meaningful semantic trends covering specific research  ...  In addition to this, there is also little research in the field of identifying and mining such trends from Flickr, where in opposition to social micro-blogging platforms like Twitter, the temporal aspect  ... 
doi:10.1016/j.neucom.2014.12.104 fatcat:w6kq7ckywfhpbgxeek7f5sqlmy

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey [article]

Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, Liang Zhao
2018 arXiv   pre-print
Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents.  ...  There are various methods for topic modeling, which Latent Dirichlet allocation (LDA) is one of the most popular methods in this field.  ...  Acknowledgements This article has been awarded by the National Natural Science Foundation of China (61170035, 61272420, 81674099, 61502233), the Fundamental Research Fund for the Central Universities (  ... 
arXiv:1711.04305v2 fatcat:jzsx6owjyjfo3gkbohrc2ggkzq
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