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Interaction-driven opinion dynamics in online social networks
2010
Proceedings of the First Workshop on Social Media Analytics - SOMA '10
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We study a model of opinion formation in social networks proposed by De Groot and Lehrer and show how this model can be extended to include interaction frequency. ...
A topic of great interest in social networks research is how to model this information exchange and, in particular, how to model and analyze the effects of interpersonal influence on processes such as ...
ACKNOWLEDGEMENTS This work was funded in part by NSF grant ECCS-0802008. 1st Workshop on Social Media Analytics (SOMA '10), July 25, 2010, Washington, DC, USA. ...
doi:10.1145/1964858.1964872
dblp:conf/kdd/PattersonB10
fatcat:ba6eh6kiivcsvfvrpswmoscxf4
Using social media and learning analytics to understand how children engage in scientific inquiry
2013
Proceedings of the 12th International Conference on Interaction Design and Children - IDC '13
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Children are increasingly using social media tools in their lives. ...
Second, we conducted a case study of SINQ with six children, ages 8-11, and collected log data of their interactions in the app. ...
This early work contributes to research on interaction design and children. We integrate several research streams in social media, children, and learning analytics [3, 8] . ...
doi:10.1145/2485760.2485805
dblp:conf/acmidc/AhnGYBC13
fatcat:sgrvbirm5naufgu32qe6nudk34
An analysis of perspectives in interactive settings
2010
Proceedings of the First Workshop on Social Media Analytics - SOMA '10
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In this paper we investigate the effect of the context of interaction on the extent to which a contributor's perspective bias is displayed through their lexical choice. ...
And, finally, (v) posts are influenced by the displayed bias of previous posts in a thread. ...
ACKNOWLEDGMENTS This paper is based on research funded by NSF grants DRL-0835426 and HCC-0803482. 1st Workshop on Social Media Analytics (SOMA '10), July 25, 2010, Washington, DC, USA. ...
doi:10.1145/1964858.1964865
dblp:conf/kdd/NguyenMR10
fatcat:af3tejhjkngr3pmt3tvlobg7dy
USING DATA MINING FOR ASSESSING STUDENTS INTERACTION WITH SOCIAL MEDIA IN HIGHER EDUCATION: THE CASE OF USING LEARNING ANALYTICS WITHIN THE CURRICULUM
2016
EDULEARN16 Proceedings
unpublished
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The role of social media in higher education has shifted from providing a web 2.0 solution for supporting communication in computer supported learning to more advanced functionalities including virtual ...
This paper discusses how analysis of social media usage can equip tutors with visual probes to identify areas that may need attention. ...
Keywords: Social media, Web 2.0, learning analytics, data mining for e-learning, learning dashboards. ...
doi:10.21125/edulearn.2016.2261
fatcat:b4lbxu5khrfz7j3pqz5a24kzfm
Social Media Analytics
[chapter]
2017
Encyclopedia of Database Systems
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Definition Social media analytics is the science of developing models and algorithms in order to understand users and user-generated content in social media. ...
When interactions between users are studied, it is referred to as structure analytics. The introduction of the time dimension in social media analytics is referred to as temporal analytics. ...
doi:10.1007/978-1-4899-7993-3_80671-2
fatcat:vitd7ylgvbew5nq2g74jiwhbzy
Business value of big data analytics: A systems-theoretic approach and empirical test
2018
Information & Management
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We find that social media diversity and big data analytics have a positive interaction effect on market performance, which is more salient for SMEs than for large firms. ...
Drawing on the systems theory, we explain how and why social media analytics create super-additive value through the synergies in functional complementarity between social media diversity for gathering ...
We also acknowledge the Italian National Institute of Statistics (Istat) for providing the data used in this research. ...
doi:10.1016/j.im.2018.11.001
fatcat:uo7mamwrj5f2dg4eju42qyd5ge
Structured analytics in social media
2015
Proceedings of the VLDB Endowment
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Structured analytics in social media is the process of discovering the structure of the relationships emerging from this social media use. ...
We also emphasize open problems and challenges for future research in the area of structured analytics and social media. ...
and reaction in social media, and structured analytics that discovers the structure of relationships emerging from social media use. ...
doi:10.14778/2824032.2824135
fatcat:lqf3l44fkjajjgzsguk275ngba
Understanding an Urban Park through Big Data
2019
International Journal of Environmental Research and Public Health
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The results from social media analytics found notable things such as positive tweets about how the railway was turned into a park, and negative tweets about diseases that may occur in the park. ...
Therefore, a survey as traditional data and social media analytics as big data can be complementary methods for the design and planning process. ...
These insights from social media analytics could not be found in the survey results. ...
doi:10.3390/ijerph16203816
pmid:31658690
pmcid:PMC6843459
fatcat:xjwpq7s3obaznha63h3q2ndhmy
Introduction to Digital and Social Media Track
2014
2014 47th Hawaii International Conference on System Sciences
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Data Analytics and Data Mining for Social Media. This minitrack displays research that brings together social media (or social networks) and data analytics and data mining. ...
Papers in this minitrack study the use of social media in organizations, along with the opportunities, and work and workplace-related concerns and challenges. Text Analytics. ...
doi:10.1109/hicss.2014.178
dblp:conf/hicss/CrowstonN14
fatcat:sy2v35qog5ghdfechw6bxteo3m
Exploring Media Influences on Individual Learning: Implications for Organizational Learning
2001
International Conference on Information Systems
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Results suggest that asynchronous media allow time to pause and reflect during learning, playing an important role in determining an individual's perceptions of media and learning outcomes. ...
This study presents an important contribution to studies of media, technology mediated learning, and individual learning in organizations. ...
Moreover, what is most influential to learning is the amount of social and analytical interactions in which individuals engage, regardless of media. ...
dblp:conf/icis/HaggertySC01
fatcat:vpmkbz3glvfdnipdgor7427fdi
What would Wittgenstein say about social media?
2017
Qualitative Research
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This reflects the everyday use of language as an evolving toolkit for undertaking social interaction, pointing towards an alternative conception of social media analytics. ...
We explore how mainstream social media analytics research (1) overinflates the importance of sociological theories, concepts and methodologies (which do not typically feature in the accounts of social ...
Social media platforms are embedded in our cultural lives and are integral to how we think about social interaction. ...
doi:10.1177/1468794117713058
fatcat:illqgy65pjb3danm3wvtqrnuvq
Real social analytics: A contribution towards a phenomenology of a digital world
2016
British Journal of Sociology
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which 2 developed the social analytics approach in detail. ...
The article proposes 'social analytics' as a new topic for sociology: the sociological study of social actors' uses of analytics not for the sake of measurement itself (or to make profit from measurement ...
Social analytics tracks in everyday settings how basic analytical tools are used by social actors to fulfil their social ends. ...
doi:10.1111/1468-4446.12183
pmid:26891120
fatcat:efsk3w2abnhwbaf3gbav5raq64
The Effects of Social Media Marketing on Business Performance of Supermarkets inTanzania
2021
Türk Turizm Araştırmaları Dergisi
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The results show that a unit increases in social media analytics will lead to 0.6202 increases in the scores of business performance. ...
The study reveals the effect of social media performance, social media analytics and active presence on the business performance of the supermarkets. ...
Social Media Analytics According to Klietz et al., (2020) social media analytics involves systematic activities of gathering, investigating and understanding the behavior of the customers in the social ...
doi:10.26677/tr1010.2021.906
fatcat:vbqcg64bdjfc5m4oi55amtxcly
Geovisual Analytics and Interactive Machine Learning for Situational Awareness
[article]
2019
arXiv
pre-print
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In this article, we provide an overview of the design process and features of the Social Media Analytics Reporting Toolkit (SMART), a visual analytics platform developed at Purdue University for providing ...
The ubiquity of social media platforms created an opportunity for near real-time sensing of the situation (e.g. unfolding weather events or crises) through volunteered geographic information. ...
Social Media Analytics and Reporting Toolkit Social Media Analytics Reporting Toolkit (SMART) is an interactive, web-based visual analytics system targeted for first responders who may not have computational ...
arXiv:1910.05441v1
fatcat:iba7hodddjchzjejllznoydmt4
Building Holistic Evidence for Social Media Impact
2017
PAR. Public Administration Review
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Zavattaro ' s question about what works in social media measurement, this article discusses how public administration researchers and practitioners are using social media data that they can easily collect ...
Social media measurement is important for understanding an organization ' s reach and engagement with its audiences. In response to Warren Kagarise and Staci M. ...
In this case, social media analytics of depth and breadth, as suggested by Kagarise and Zavattaro, would have shown that NYPD ' s social media efforts worked to increase the number of interactions but ...
doi:10.1111/puar.12780
fatcat:eerx7yxo65dqbdyps5owantds4
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