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Mihai Moldovan

dblp:27/2400 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0003-2512-3499ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 56% Ubiquitous computing and smart environments · 44%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › social computing
online community dynamics
0.112010
An empirical study of critical mass and online community survival · CSCW 2010
Computational social science and digital humanities
social media analysis
0.112010
An empirical study of critical mass and online community survival · CSCW 2010
Ubiquitous computing and smart environments
information overload
0.112008
Empirical evidence of information overload constraining chat channel community interactions · CSCW 2008
Collaborative and social computing
online communities
0.112008
Empirical evidence of information overload constraining chat channel community interactions · CSCW 2008
Collaborative and social computing
social media
0.012008
Empirical evidence of information overload constraining chat channel community interactions · CSCW 2008

Methods — techniques the papers use, named apart from their topics

survival analysis · 0.1
YearPublicationVenuePosition
2010 An empirical study of critical mass and online community survival
abstract
There is general consensus that critical mass at inception ensures the sustained success of online communities. However, no clear understanding of what constitutes such a 'critical mass ' exists and too few quantitative studies have been conducted into the relationship between initial online community interaction and its longer term success to draw any conclusions. In this paper we start to address this gap through a large-scale study of the relationship between IRC chat channel survival and initial chat channel community interactions. A sample 282 chat channel births was used for survival analysis which explored the relationship between the overall user activity in each channel at its inception and the channel's life expectancy. Significant relationships were observed between online community lifespan and critical mass measures: 1) message volume, 2) user population heterogeneity and 3) production functions. The results lend support to the Critical Mass Theory of collective action.
Daphne R. Raban, Mihai Moldovan, Quentin Jones
CSCW2
2008 Empirical evidence of information overload constraining chat channel community interactions
abstract
Prior work has demonstrated that the impact of individual information-processing limits can be observed in dynamics of mass interaction in asynchronous collaborative systems (Usenet newsgroups and email lists). Here we present the first evidence of such impacts on synchronous social interaction environments through the analysis of an Internet Relay Chat network. We highlight how shared public discourse in chat channels appears to be limited to 40 posters in any 20 minute interval, even as the number of channel users increases well into the hundreds. We discuss our findings in terms of understanding the relationship between online community space types and the user interaction dynamics they support.
Quentin Jones, Mihai Moldovan, Daphne R. Raban, Brian S. Butler
CSCW2
2003 An Information Market for Multi-agent Decision Making: Observations from a Human Experiment
Bartel A. Van de Walle, Mihai Moldovan
KES2