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Extracting Emergent Semantics from Large-Scale User-Generated Content [chapter]

Ioannis Kompatsiaris, Sotiris Diplaris, Symeon Papadopoulos
2012 Advances in Intelligent and Soft Computing  
The relevant techniques are reviewed and categorised according to their capability for scaling, multi-modal analysis, social networks analysis, semantic representation, real-time and spatio-temporal processing  ...  This paper presents a survey of novel technologies for uncovering implicit knowledge through the analysis of user-contributed content in Web2.0 applications.  ...  They describe how spatio-temporal-thematic data in various social media can be aggregated into "social pixels".  ... 
doi:10.1007/978-3-642-28664-3_3 dblp:conf/ictinnovations/KompatsiarisDP11 fatcat:ehsp5zztzfh4pcciwkvsxhc5au

STEPS - An Approach for Human Mobility Modeling [chapter]

Anh Dung Nguyen, Patrick Sénac, Victor Ramiro, Michel Diaz
2011 Lecture Notes in Computer Science  
Nodes in STEPS have preferential attachment to favorite locations where they spend most of their time.  ...  STEPS makes abstraction of spatio-temporal preferences in human mobility by using a power law to rule the nodes movement.  ...  In this paper we introduce Spatio-TEmporal Parametric Stepping (STEPS) -a new powerful formal model for human mobility or mobility inside social/interaction networks.  ... 
doi:10.1007/978-3-642-20757-0_20 fatcat:2pkmt4riarhhhizcjxyhmxehcq

Qualitative GIS and the visualization of narrative activity space data

Jeremy Mennis, Michael J. Mason, Yinghui Cao
2013 International Journal of Geographical Information Science  
Qualitative activity space data, i.e. qualitative data associated with the routine locations and activities of individuals, are recognized as increasingly useful by researchers in the social and health  ...  The visualization is applied to explore the activity spaces of a sample of urban youth participating in a study on the geographic and social contexts of adolescent substance use.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.  ... 
doi:10.1080/13658816.2012.678362 pmid:26190932 pmcid:PMC4503212 fatcat:rovorsxlsnfyhbcn5h3si7epc4

Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks [article]

Kuntal Dey, Saroj Kaushik, L. Venkata Subramaniam
2017 arXiv   pre-print
The current article presents a survey of representative models that perform topic analysis, capture information diffusion, and explore the properties of social connections in the context of online social  ...  They have investigated the role of content, social connections and communities, familiarity and behavioral similarity in this context.  ...  Analyzes spatio-temporal dynamics of user activity on Twitter.  ... 
arXiv:1706.00921v1 fatcat:doqorr3v2zhq5oiemm5zhlmc3u

Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data

Zeinab Ebrahimpour, Wanggen Wan, José Luis Velázquez García, Ofelia Cervantes, Li Hou
2020 ISPRS International Journal of Geo-Information  
In this paper, Weibo social media data are used toanalyze social‐geographic human mobility in the CBD area of Shanghai to track citizen's behavior.Our main motivation is to test the validity of geo‐located  ...  In addition, our goal is to identify important locations inpeople's lives with the support of location‐based services.  ...  More recently, the explosive use of social media with geo-locations shared by users launched new research fields using location-based social networks (LBSNs) like Twitter, Facebook, Foursquare, or the  ... 
doi:10.3390/ijgi9020125 fatcat:hbinokukfrehvhbeiukyd5pzkq

Urban groups: behavior and dynamics of social groups in urban space

Matteo Zignani, Christian Quadri, Sabrina Gaito, Gian Paolo Rossi
2019 EPJ Data Science  
The findings of this study concern the social group behavior, their structure (size and membership) and their root in the territory (locations and visit patterns).  ...  The tendency of people to form socially cohesive groups that get together in urban spaces is a fundamental process that drives the formation of the social structure of cities.  ...  in a given location. g SnapChat is a self-declared camera-company.  ... 
doi:10.1140/epjds/s13688-019-0187-7 fatcat:wzt3ks277vbgxcrx5frcdtt4lu

Discovering Dynamic Classification Hierarchies in OLAP Dimensions [chapter]

Nafees Ur Rehman, Svetlana Mansmann, Andreas Weiler, Marc H. Scholl
2012 Lecture Notes in Computer Science  
These constraints appear too rigid for many data sets, especially semi-structured ones, such as user-generated content in social networks and other web applications.  ...  We demonstrate the benefits of our approach by building a data warehouse for the public stream of the popular social network and microblogging service Twitter.  ...  Case 1 -Spatio-temporal analysis of tweeting during the Super Bowl 2012 2 . 2012's Super Bowl XLVI has been of much interest to many, not only sports fans but also to the social network analysts, as it  ... 
doi:10.1007/978-3-642-34624-8_48 fatcat:lmynmjnewbev7krdfpeadz4rry

Automatic image semantic interpretation using social action and tagging data

Neela Sawant, Jia Li, James Z. Wang
2010 Multimedia tools and applications  
The plethora of social actions and annotations (tags, comments, ratings) from online media sharing Websites and collaborative games have induced a paradigm shift in the research on image semantic interpretation  ...  In this survey, we review nearly 200 representative papers to identify the current trends, challenges as well as opportunities presented by social inputs for research on image semantics.  ...  Event and Location Semantics The discovery of spatio-temporal patterns and representative tags has attracted a great interest in the research community.  ... 
doi:10.1007/s11042-010-0650-8 fatcat:kqu6kyess5f3re554jsueuuzem

Topic time series analysis of microblogs

Eric L. Lai, Daniel Moyer, Baichuan Yuan, Eric Fox, Blake Hunter, Andrea L. Bertozzi, P. Jeffrey Brantingham
2016 IMA Journal of Applied Mathematics  
In this work we describe two methods for mining interesting spatio-temporal dynamics and relations among topics, one that compares the topic distributions as histograms in space and time and another that  ...  models topics over time as temporal or spatio-temporal Hawkes process with exponential trigger functions.  ...  The authors would like to thank Cristina Lopez, Xiyang Luo, Zhaoyi Meng, and Alexandre Robicquet for all their work alongside the authors during the 2014 Summer REU California Research Training Program in  ... 
doi:10.1093/imamat/hxw025 fatcat:osxuxlbfcrgipgnkskoiccgg6e

Cognitive Amplifier for Internet of Things [article]

Bing Huang, Athman Bouguettaya, Azadeh Ghari Neiat
2020 arXiv   pre-print
The knowledge discovery component focuses on finding natural activity patterns considering their regularity, variations, and transitions in real life setting.  ...  Specifically, the Cognitive Amplifier consists of knowledge discovery and prediction components.  ...  The knowledge discovery component focuses on mining periodic probabilistic composition patterns and temporal relationships among composition patterns.  ... 
arXiv:2005.06914v1 fatcat:j2u3z4ultnfxrf2e22n7pbmlhi

Discovering Context for Real-World Events

Arjun Satish, Ramesh Jain, Amarnath Gupta
2018 Modélisation et utilisation du contexte  
We present Context Discovery Algorithm, a technique to progressively discover the most relevant search space from a dynamic set of context sources.  ...  Our results show that the availability of event context, and its dynamic discovery, can produce 97.5% smaller search spaces with at least 93% correct tags. RÉSUMÉ.  ...  Any new literal properties, spatio-temporal attributes and participant information in events which exist in the primary networks are copied using the mergeInformation function (which simply copies attributes  ... 
doi:10.21494/iste.op.2018.0212 fatcat:yxiwj72v6jgatph4rvi2w6g5l4

CARS-AD Project: Context-Aware Recommender System for Authentication Decision in Pervasive and Mobile Environments [chapter]

Joao Carlos Damasceno Lima, Cristiano Cortez da Rocha, Iara Augustin, Mario Antonio Ribeiro Dantas
2012 Advances and Applications in Mobile Computing  
However, usual password discovery methods (phishing, keyloggers, and social engineering) has been successfully applied in breaking many passwords.  ...  Among the models used to predict events in a spatio-temporal context, we propose the use of spatio-temporal permutation, which allows the incorporation of covariate information found in other contexts  ...  Also, recent mobile network technologies such as algorithms, decreasing energy consumption in mobile network, and fault tolerance in distributed mobile computing are the main concern of the first section  ... 
doi:10.5772/37125 fatcat:fwwl5fimh5h75l4laivp466n3y

Group Types in Social Media [chapter]

Luca Maria Aiello
2015 Human–Computer Interaction Series  
Besides the characterization of online communities along their spatio-temporal and activity features, the recent advancements in the emerging field of computational sociology have provided a new lens to  ...  Dynamics of social systems are the result of the complex superposition of interactions taking place at different scales, ranging from the pairwise communications between individuals to the macroscopic  ...  Grabowicz, David Martin-Borregón, Rossano Schifanella, Bogdan State, Alejandro Jaimes, and Ricardo Baeza-Yates for the research work they have conducted jointly with the author and that is summarized in  ... 
doi:10.1007/978-3-319-23835-7_5 fatcat:7hsgmrlxbrg2zd7tyeyvkhdnue

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)  
In this paper, we present automated techniques for filtering, aggregating, and processing combined social networking traces with the goal of extracting descriptions of regularly-occurring user activities  ...  Instead of actively sampling increasing volumes of sensor data, we explore the participatory sensing potential of multiple mobile social networks, on which users often disclose information about their  ...  Their elegant probabilistic topic-model analysis uncovers patterns that highlight hidden urban dynamics and recurrent spatio-temporal crowd phenomena in a urban scenario. Joseph et al.  ... 
doi:10.1109/wowmom.2013.6583383 dblp:conf/wowmom/PianeseAKI13 fatcat:767wufx5mjahbh433fm4kgk22m

CoMiTe: Context Aware Middleware Architecture for Time-Dependent Systems: A Case Study on Vehicular Safety

Ra. K. Saravanaguru, Arunkumar Thangavelu
2014 The Arabian Journal for Science and Engineering  
Models and Approaches for Vehicular Safety: The various issues of vehicular middleware [38] can be summarized as follows: tight coupling with raw data, complexity in reasoning, dynamic sharing of data,  ...  In this section, some of the vehicular safety middleware approaches and their applications are discussed.  ...  In intelligent opportunistic mobile social networks.  ... 
doi:10.1007/s13369-014-0955-4 fatcat:xwufx4e5nrayzamrwwb7tk6bni
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