A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Leveraging Social Context for Modeling Topic Evolution
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
Preserved Fulltext
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
2014
International Conference on Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2009
Interactive Learning Environments
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2022
International Journal of Entrepreneurial Behaviour & Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2020
Creativity and Innovation Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2109.00475v1 fatcat:5q6chhvlw5gefmrhk7uc6k6zbm
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
2011
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2020
Joint Conference of the Information Retrieval Communities in Europe
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2015
2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
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
2018
User modeling and user-adapted interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1712.07691v4 fatcat:h5maawbr6jattiakkint74hceiOther Versions
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
2009
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2017
Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2019
Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 45,060 results