| Nashwa El-Bendary|
(Alternative names for this author)
|Co-authors||Hameed Al-Qaheri, Somnath Banerjee, Soumya Banerjee|
|Authorship||Publications (2), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
|DBLP · Google Scholar|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of authors|
Nashwa El-Bendary is an author.
Only those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Exploring wiki: Measuring the quality of social media using ant colony metaphor||Ant colony optimization
|Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES'11||English||2011||This paper proposes a novel bio-inspired model that quantifies the quality aspect of Wiki content. Unlike the statistical measures, the proposed system automates the quality dispersion mechanism using ant colony's pheromone artifacts over Wiki content. The inclusion of artificial ant agents is relevant to the heuristic behavior of Wiki content management and reputation paradigm of Wiki. The proposed model generates substantial empirical and graphical evidences, which could be timely boosted to enhance Wiki culture and editing process of Wiki in order to be theoretically trusted and validated across the users. Observed results present evidences that despite of users' attribution, registered or anonymous, the proposed agent based model provides quantifying editing in content of Wiki and accordingly both commercial viability, in terms of quality, and vandalism can be ensured. Copyright||0||0|
|Exploring wiki: measuring the quality of social media using ant colony metaphor||Wikipedia
Ant colony optimization