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Peyman Nasirifard

dblp:42/2876 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2011
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
social media		 0.112011
A real-time tweet diffusion advisor for #Twitter · CSCW 2011
Collaborative and social computing › social media
twitter		 0.112011
A real-time tweet diffusion advisor for #Twitter · CSCW 2011
Collaborative and social computing
online communities		 0.012011
A real-time tweet diffusion advisor for #Twitter · CSCW 2011
YearPublicationVenuePosition
2011 A real-time tweet diffusion advisor for #Twitter
abstract
In this paper we describe our novel Twitter assistant called Tadvise. Tadvise helps users to know their Twitter communities better and also assists them to identify community hubs for propagating their community-related tweets. Tadvise video describes different parts of Tadvise and how it is used for propagating tweets in Twittersphere.
Peyman Nasirifard, Conor Hayes
 CSCW1
2010 Social People-Tagging vs. Social Bookmark-Tagging
Peyman Nasirifard, Sheila Kinsella, Krystian Samp, Stefan Decker
 EKAW1
2009 Extracting and Utilizing Social Networks from Log Files of Shared Workspaces
Peyman Nasirifard, Vassilios Peristeras, Conor Hayes, Stefan Decker
 PRO-VE1