Papers

Die BlogosphereMap ist ein Konzept zur Darstellung von Informationsflüssen zwischen Weblogs. Sie gestattet die zeitliche Abfolge von Postings in einer “Neigbourhood” grafisch darzustellen - eine sinnlich erfassbare Übersetzung der Nachrichtenverbreitung innerhalb der Blogosphäre. Gleichzeitig werden verwandte Tools vorgestellt: Blogdex, BlogStreet und Daypop.

The BlogosphereMap is a concept for visualizing information flow between weblogs. It allows to track the dissemination of news within a given “neighbourhood”. Similar tools are introduced: Blogdex, BlogStreet und Daypop.

Dieses Paper ist eine Weiterentwicklung des theoretischen Hintergrunds zur BlogosphereMap und stellt besonders auf den Einsatz in selbstorganisierenden Lernumgebungen ab. Es wird von der These ausgegangen, dass elektronische Darstellungswerkzeuge - wie die BlogosphereMap - eine ähnliche Funktion haben wie Montessori-Lernmaterialen, nämlich sich neue Verhaltenskompetenzen anzueignen. Sie gestatten uns, Wissensflüsse in der Blogosphäre wahrzunehmen und mit ihnen zu interagieren.

This paper is an enhancement of our theoretical work on mapping information diffusion. It focuses on self-organising learning environments. The central hypothesis is that tools for visualizing the blogosphere are similar in objective to Maria Montessoris “learning materials”. They allow to build up competence and to perceive and interact with information flows in the blogosphere.

Visualising information flows in self organising knowledge networks. The paper describes basic mechanisms of cooperations in the Living Web (Web 2.0) and discusses new approaches that enable actors to explore their neighbourhood with the help of network analysis. The paper was published in the book: Learning Communities: Das Internet als neuer Lern- und Wissensraum. Christina Schachtner, A. H., Ed. Campus Verlag: Frankfurt am Main, 2008.

In this paper we evaluate tools for exploring social networks in the web and present our own technical approach behind the mememapper. The paper was published in the book: Andreas Blumauer, Tassilo Pellegrini. Social Semantic Web, Berlin, Heidelber: Springer 2008

Community Core Detection in Twitter - a “Bottom Up” Heuristic

In this paper we present a very lightweight heuristic for detecting cores of expert communities within twitter. The heuristic combines simple text search methods with social network analysis. One big advantage of this heuristic is that it needs not to be run over the whole network. As a “bottom up” approach it explores the network around seed accounts and detects communities with simple measures.

in our recently published tool twitter list explorer (tlx) beta we don’t used that heuristic as we simply read in twitter lists, which may be seen as manually extracted community cores (which turns out not to be true in many cases, because there are several reasons for collecting twitter accounts in a list).
Anyhow it is the plan to integrate such a heuristic in one of the next versions.

The paper will be presented at the next sunbelt conference 2010 in Italy.