By Qin Wu, Eddie Fuller, Cun-Quan Zhang (auth.), I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho (eds.)
This e-book will concentration upon Mining and examining social community. a few chapters during this publication are prolonged from the papers that pre-sented in MSNDS2009 (the First foreign Workshop on Mining Social Networks for selection help) and SNMABA2009 ((The foreign Workshop on Social Networks Mining and research for enterprise Applications)). furthermore, we additionally despatched invites to researchers which are recognized during this examine quarter to give a contribution for this book.
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Mining and Analyzing Social Networks - download pdf or read online
This publication will concentration upon Mining and reading social community. a few chapters during this ebook are prolonged from the papers that pre-sented in MSNDS2009 (the First overseas Workshop on Mining Social Networks for determination aid) and SNMABA2009 ((The overseas Workshop on Social Networks Mining and research for enterprise Applications)).
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Extra resources for Mining and Analyzing Social Networks
Sample text
SHAWN: Structure Helps a Wiki Navigate. MsC Thesis. : Annotation and Navigation in Semantic Wikis. In: Proc. : Kaukolu – Hub of the semantic corporate intranet. : Semantic Wekipedia. In: Proceedings of the 15th International Conference on WWW. : Towards a Semantic Wiki experience – Desktop integration and interactivity in WikSAR. : OntoWiki: Community-driven Ontology Engineering and Ontology Usage based on Wikis. : SweetWiki: Semantic web enabled technologies in Wiki. : Modern Information Retrieval.
Figure 3 shows that the eight ego networks selected for our study have different degree distributions: some follow power law and some do not. The plot on the left in Figure 4 illustrates the estimated degree distributions by the two methods and the true distribution using one of the eight ego networks with a sample size of 5% of the total network. We can see that even though the sampled edges are only about 5% of the total, the degree distribution estimations are not bad for small degrees (< 50).
For the considered approach, the ontology is not a mechanism for communication and understanding of different agents but an adaptive information mechanism for a specific enterprise. Even though, a common ontology could be used as fine as a personal one. The intended ontology represents the specific perspective of an organization, on the domain where the wiki subject belongs regarding its interests. The kind of adaptive behavior that is intended is also named personalization, when a determine user is considered during her interactivity with the system.
