Amanote Research

Amanote Research

    RegisterSign In

Web Science 2.0: Identifying Trends Through Semantic Social Network Analysis

SSRN Electronic Journal
doi 10.2139/ssrn.1299869
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2008

Authors
Peter A GloorJonas S. KraussStefan NannKai FischbachDetlef Schoder
Publisher

Elsevier BV


Related search

GroupMe! - Where Semantic Web Meets Web 2.0

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2007English

Analysis of a Real Online Social Network Using Semantic Web Frameworks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Metcalfe's Law Applies to Web 2.0 and the Semantic Web

SSRN Electronic Journal
2008English

User Intention of Sharing Video Clips on Web 2.0 Social Network Websites

Advances in Marketing, Customer Relationship Management, and E-Services
English

Identifying Semantic in High-Dimensional Web Data Using Latent Semantic Manifold

Journal of Data Analysis and Information Processing
2015English

Model Knowledge Management System Pada Lembaga Riset Berbasis Semantic Web Dan Web 2.0

Jurnal Sistem Informasi
2012English

Web 2.0 Tools for Network Management and Patent Analysis for Health Public

Revista de Gestão em Sistemas de Saúde
2013English

Towards an Accessible Web Through Semantic Web Standards

SSRN Electronic Journal
2005English

Social Science Data Archives: A Historical Social Network Analysis

IASSIST Quarterly
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy