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Autor:
John Piorkowski
Publikováno v:
Data Analytics and AI ISBN: 9781003019855
Data Analytics and AI
Data Analytics and AI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ffde800edff107afe10d6f4e9150c4b
https://doi.org/10.1201/9781003019855-1
https://doi.org/10.1201/9781003019855-1
Publikováno v:
ASONAM
This paper examines quantity and quality superposter value creation within Coursera Massive Open Online Courses (MOOC) forums using a social network analysis (SNA) approach. The value of quantity superposters (i.e. students who post significantly mor
Publikováno v:
ASONAM
ISIS and similar extremist communities are increasingly using forums in the darknet to connect with each other and spread news and propaganda. In this paper, we attempt to understand their network in an online forum by using descriptive statistics, a
Publikováno v:
ASONAM
Customer satisfaction surveys, which have been the most common way of gauging customer feedback, involve high costs, require customer active participation, and typically involve low response rates. The tremendous growth of social media platforms such
Publikováno v:
ASONAM
Basketball is an inherently social sport, which implies that social dynamics within a team may influence the team's performance on the court. As NBA players use social media, it may be possible to study the social structure of a team by examining the
Publikováno v:
ASONAM
The United States is becoming increasingly politically divided. In addition to polarization between the two-major political parties, there is also divisiveness in intra-party dynamics. In this paper, we attempt to understand these intraparty division
Autor:
Lina Zhou, John Piorkowski
Publikováno v:
ASONAM
As criminals and terrorist employ social media platforms for planning and executing nefarious activities, understanding the degree of trustworthiness in interactions among actors becomes crucial for detecting their activities. Measuring trust in thes