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Leveraging Social Context for Modeling Topic Evolution

Janani Kalyanam, Amin Mantrach, Diego Saez-Trumper, Hossein Vahabi, Gert Lanckriet
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
We wish to harness this social context that comes along with the textual content for TDE.  ...  Topic discovery and evolution (TDE) has been a problem which has gained long standing interest in the research community.  ...  To the best of our knowledge, we are the first to propose an approach that exploits simultaneously both the content and the social context in a unified framework for modeling topic evolution.  ... 
doi:10.1145/2783258.2783319 dblp:conf/kdd/KalyanamMSVL15 fatcat:glm3r7lwdneplfqs46ykpxnv2a

How Superbowl Commercials Affect My Social Network: An Empirical Study on the Evolution of Social Ties through Revealed Preferences

Tianhui Tan, Tuan Phan
2014 International Conference on Information Systems  
Marketers use online social networks for target and promotion. Identifying influentials that disproportionately affect others is challenging due to network dynamics and social interactions.  ...  Our study contributes to dynamic social network research by specifically targeting at shifting tie strength and provides novel insights on social media marketing.  ...  Introduction Marketers leverage social networks for targeting and promotions.  ... 
dblp:conf/icis/TanP14 fatcat:yuowcxhukrfkhiqmu2vnne7w2a

The Social Semantic Web in Intelligent Learning Environments: state of the art and future challenges

Jelena Jovanović, Dragan Gašević, Carlo Torniai, Scott Bateman, Marek Hatala
2009 Interactive Learning Environments  
In this article, we investigate how the Social Semantic Web can be leveraged for enabling and easing this process.  ...  In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments (ILEs) in particular, is related to the ability of leveraging these new paradigms for creating  ...  Acknowledgments Marek Hatala is an Associate Professor at the School of Interactive Arts and Technology at Simon Fraser University and a director of the Laboratory for Ontological Research.  ... 
doi:10.1080/10494820903195140 fatcat:awoozywunbbnteyso62lmywnqe

Data Science for Social Good — 2014 KDD Highlights

Wei Wang
2015 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
for big data, topic modeling, recommender systems, data streams, scalable methods, Web mining, clustering, feature selection, applications to health care and medicine, public safety, advertising, social  ...  The breadth of topics covered in the 2014 research program is truly comprehensive and nicely balanced among social and information networks, data mining for social good, graph mining, statistical techniques  ...  Topic modeling, especially in the context of discovery of topics and monitoring topic evolution in social media, is a popular topic.  ... 
doi:10.1609/aaai.v29i1.9351 fatcat:x2cz6jsfkjfurcfxnxdn54rnpq

Guest editorial: New technologies and entrepreneurship: exploring entrepreneurial behavior in the digital transformation era

Ciro Troise, Cyrine Ben-Hafaïedh, Mario Tani, Sergey A. Yablonsky
2022 International Journal of Entrepreneurial Behaviour & Research  
The authors would like to thank all the authors for the work they have done on writing up the articles for this SI and, particularly, on modifying them based on the reviewers' comments.  ...  The authors are also very grateful to the Editor-in-Chief, Professor Paul Jones, for his support, and the whole Editorial Staff for their insightful and practical advice.  ...  This model is one of the first in this field and represents a potential point of reference for many scholars who may leverage it for future studies and apply it in other contexts or types of technologies  ... 
doi:10.1108/ijebr-08-2022-999 fatcat:33mp2wwpq5anrmkhbd5l6ohzfm

Growing with others: A longitudinal study of an evolving multi‐sided disruptive platform

Alexander Lennart Schmidt, Neele Petzold, Norman Lahme‐Hütig, Florian Tiemann
2020 Creativity and Innovation Management  
Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.  ...  You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public  ...  We perform topic modeling combined with a qualitative content analysis of secondary data and show how AY leveraged relationships with its platform sides to drive the evolution of the platform during the  ... 
doi:10.1111/caim.12401 fatcat:zvb6ubwsunbk7cmv5v5yqdxila

Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu
2019 IEEE Access  
This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing.  ...  Intelligent app rendering is thus leveraged for optimizing device operation. Shin et al. [72] use smartphone traces to build models for predicting the apps used based on the current context.  ...  PERSONALIZED AND CONTEXT-AWARE APP ADAPTATION Large-scale app usage data has been leveraged for understanding app usage patterns.  ... 
doi:10.1109/access.2019.2918325 fatcat:de763kc4qbdy5ijo55jxyhzgt4

Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions [article]

Rabab Alkhalifa, Arkaitz Zubiaga
2021 arXiv   pre-print
Social media platforms provide a goldmine for mining public opinion on issues of wide societal interest and impact.  ...  In this survey paper, we investigate the intersection between computational linguistics and the temporal evolution of human communication in digital media.  ...  Due to the rapidly evolving nature of social media content, as well as the rapid evolution of people's opinions, a model trained on an old dataset may no longer be as accurate for new data.  ... 
arXiv:2109.00475v2 fatcat:delkpiwdlrgmlljboyjm6v6gpu

Leveraging Social Network Analysis with Topic Models and the Semantic Web

Sebasti´n A. Rios, Felipe Aguilera, Francisco Bustos, Tope Omitola, Nigel Shadbolt
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
Social Network Analysis (SNA) and Web Mining (WM) techniques are being applied to study the structures of social networks in order to manage their dynamics and predict their evolution.  ...  We extended SIOC, taking advantage of topic-based text mining and developed data mining algorithms that used our SIOC extensions to provide a better understanding of the social dynamics of the members  ...  [10] proposed a community based topic-Model integrated social network analysis technique (Community-Author-Recipient-Topic model or CART) to extract communities from an emails' corpus based on the topics  ... 
doi:10.1109/wi-iat.2011.127 dblp:conf/iat/RiosABOS11 fatcat:3kqax3bt2jd3ppzmegyj53esue

Event Detection and Time Series Alignment to Improve Stock Market Forecasting

Elliot Maitre, Zakaria Chemli, Max Chevalier, Bernard Dousset, Jean-Philippe Gitto, Olivier Teste
2020 Joint Conference of the Information Retrieval Communities in Europe  
In this paper, we will first introduce our context, then explain the scope of our work and our goals.  ...  Buying commodities is a critical issue for multiple industries because the variations of stock prices are induced not only by multiple economic parameters but also by external events.  ...  Pros and cons This methods brings more information than a regular topic modeling approach, leveraging the representation power of neural based approach.  ... 
dblp:conf/circle/MaitreCCDGT20 fatcat:clkbsbzrprfzrnys524hyldjzm

SODA: the stack overflow dataset almanac

Nicolas Latorre, Roberto Minelli, Andrea Mocci, Luca Ponzanelli, Michele Lanza
2015 2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)  
SODA provides an effective visualization to support the analysis of topics in different time intervals and frames, leveraging single or co-occurrent tags.  ...  Stack Overflow has become a fundamental resource for developers, becoming the de facto Question and Answer (Q&A) website, and one of the standard unstructured data sources for software engineering research  ...  ACKNOWLEDGMENTS We gratefully acknowledge the financial support of the Swiss National Science foundation for the project "HI-SEA" (SNF Project No. 146734).  ... 
doi:10.1109/mud.2015.7327961 dblp:conf/icsm/LatorreMMPL15 fatcat:m3c22zqkgrbw5lzvn4t5ygq4oe

Inferring user interests in microblogging social networks: a survey

Guangyuan Piao, John G. Breslin
2018 User modeling and user-adapted interaction  
Through this survey, we aim to provide an overview of state-of-the-art user modeling strategies for inferring user interest profiles on microblogging social networks with respect to the four dimensions  ...  For each dimension, we review and summarize previous studies based on specified criteria. Finally, we discuss some challenges and opportunities for future work in this research domain.  ...  Thanks for the anonymous reviewers and the editor for their constructive feedback to improve this work.  ... 
doi:10.1007/s11257-018-9207-8 fatcat:yyvertb3jfdhzc4oaxsgnimznu

MetaFac

Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi Konuru, Hari Sundaram, Aisling Kelliher
2009 Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09  
Our work has three key contributions: (1) metagraph, a novel relational hypergraph representation for modeling multirelational and multi-dimensional social data; (2) an efficient factorization method for  ...  (a) In social media, the context of user actions is constantly changing and co-evolving; hence the social context contains time-evolving multi-dimensional relations.  ...  social contexts.  ... 
doi:10.1145/1557019.1557080 dblp:conf/kdd/LinSCKSK09 fatcat:lscm4tepubh37ptkyo72epc3ba

Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring

Aastha Nigam, Henry K. Dambanemuya, Madhav Joshi, Nitesh V. Chawla
2017 Big Data  
Social media yields tremendous power as a tool for dialogue, debate, organization, and mobilization, thereby adding more complexity to the peace process.  ...  We demonstrate that had proaccord stakeholders leveraged public opinion from social media, the outcome of the Colombian referendum could have been different.  ...  Army Research Lab for providing feedback on the article.  ... 
doi:10.1089/big.2017.0055 pmid:29235916 pmcid:PMC5734239 fatcat:636mmnbmebd2ro7k4jwi3q6doe

A Social Inspired Broker for M2M Protocols

Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2019 Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk  
A Social Inspired Broker for M2M Protocols.  ...  In this paper we introduce a multi broker solution where the network of brokers is inspired by social relationships.  ...  SOCIAL INSPIRATION IN IoT The influence that social-based paradigma can have in the IoT context is manifold, depending on the vision we consider.  ... 
doi:10.5220/0007765101010105 dblp:conf/complexis/CarchioloLMM19 fatcat:fw3h2gh7lzhohc232xeoeiktx4
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