Predicting the Scale of Trending Topic Diffusion Among Online Communities

2016 ◽  
pp. 153-165
Author(s):  
Dohyeong Kim ◽  
Soyeon Caren Han ◽  
Sungyoung Lee ◽  
Byeong Ho Kang
Keyword(s):  
Online Communities

Nurturing Online Communities: An Empirical Investigation

MIS Quarterly ◽  
2019 ◽  
Vol 43 (2) ◽  
pp. 425-452 ◽  
Author(s):  
Sofia Bapna ◽  
◽  
Mary J. Benner ◽  
Liangfei Qiu ◽  
◽  
...  
Keyword(s):  
Online Communities ◽  
Empirical Investigation

Engaging Voluntary Contributions in Online Communities: A Hidden Markov Model

MIS Quarterly ◽  
2018 ◽  
Vol 42 (1) ◽  
pp. 83-100 ◽  
Author(s):  
Wei Chen ◽  
◽  
Xiahua Wei ◽  
Kevin Xiaoguo Zhu ◽  
◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Online Communities ◽  
Hidden Markov ◽  
Voluntary Contributions

The Internet is a Semicommons

2018 ◽  
Author(s):  
James Grimmelmann
Keyword(s):  
Open Field ◽  
Online Communities ◽  
Strategic Behavior ◽  
Private Property ◽  
The Internet ◽  
Field System ◽  
Technical Features ◽  
Dynamic Interplay ◽  
Enormous Success

78 Fordham Law Review 2799 (2010)The Internet is a semicommons. Private property in servers and network links coexists with a shared communications platform. This distinctive combination both explains the Internet's enormous success and illustrates some of its recurring problems.Building on Henry Smith's theory of the semicommons in the medieval open-field system, this essay explains how the dynamic interplay between private and common uses on the Internet enables it to facilitate worldwide sharing and collaboration without collapsing under the strain of misuse. It shows that key technical features of the Internet, such as its layering of protocols and the Web's division into distinct "sites," respond to the characteristic threats of strategic behavior in a semicommons. An extended case study of the Usenet distributed messaging system shows that not all semicommons on the Internet succeed; the continued success of the Internet depends on our ability to create strong online communities that can manage and defend the infrastructure on which they rely. Private and common both have essential roles to play in that task, a lesson recognized in David Post's and Jonathan Zittrain's recent books on the Internet.

Online Communities and Social Network Structure

2019 ◽  
Author(s):  
Yanhao Wei ◽  
Wensi Zhang ◽  
Sha Yang ◽  
Xi Chen
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Online Communities ◽  
Social Network Structure

Studying Populations of Online Communities

2019 ◽  
pp. 173-193
Author(s):  
Benjamin Mako Hill ◽  
Aaron Shaw
Keyword(s):  
Online Communities ◽  
Information Diffusion ◽  
Diffusion Processes ◽  
Empirical Studies ◽  
Population Level ◽  
Study Groups ◽  
Population Based ◽  
Large Majority ◽  
Community Processes ◽  
Published Research

While the large majority of published research on online communities consists of analyses conducted entirely within individual communities, this chapter argues for a population-based approach, in which researchers study groups of similar communities. For example, although there have been thousands of papers published about Wikipedia, a population-based approach might compare all wikis on a particular topic. Using examples from published empirical studies, the chapter describes five key benefits of this approach. First, it argues that population-level research increases the generalizability of findings. Next, it describes four processes and dynamics that are only possible to study using populations: community-level variables, information diffusion processes across communities, ecological dynamics, and multilevel community processes. The chapter concludes with a discussion of a series of limitations and challenges.

Entering the Clubhouse

2010 ◽  
Vol 22 (2) ◽  
pp. 21-35 ◽  
Author(s):  
Yasmin B. Kafai ◽  
Deborah A Fields ◽  
William Q. Burke
Keyword(s):  
Online Communities ◽  
File Sharing ◽  
Cultural Factors ◽  
Ethnographic Study ◽  
After School ◽  
End User ◽  
Programming Software ◽  
Social And Cultural Factors ◽  
Learning Programming ◽  
School Club

Previous efforts in end-user development have focused on facilitating the mechanics of learning programming, leaving aside social and cultural factors equally important in getting youth engaged in programming. As part of a 4-month long ethnographic study, we followed two 12-year-old participants as they learned the programming software Scratch and its associated file-sharing site, scratch.mit.edu, in an after-school club and class. In our discussion, we focus on the role that agency, membership, and status played in their joining and participating in local and online communities of programmers.

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