Jäschke, R.; Krause, B.; Hotho, A. & Stumme, G.: Logsonomy - A Search Engine Folksonomy. Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008). AAAI Press, 2008
[Volltext]
In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us.

Jäschke, R.; Krause, B.; Hotho, A. & Stumme, G.: Logsonomy - A Search Engine Folksonomy. Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008). AAAI Press, 2008
[Volltext]
In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us.

Jäschke, R.; Krause, B.; Hotho, A. & Stumme, G.: Logsonomy - A Search Engine Folksonomy. Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008). AAAI Press, 2008
[Volltext]
In social bookmarking systems users describe bookmarks
keywords called tags. The structure behind
ese social systems, called folksonomies, can be
ewed as a tripartite hypergraph of user, tag and resource
des. This underlying network shows specific
ructural properties that explain its growth and the possibility
serendipitous exploration.
arch engines filter the vast information of the web.
eries describe a user’s information need. In response
the displayed results of the search engine, users click
the links of the result page as they expect the answer
be of relevance. The clickdata can be represented as a
lksonomy in which queries are descriptions of clicked
Ls. This poster analyzes the topological characteristics
the resulting tripartite hypergraph of queries,
ers and bookmarks of two query logs and compares it
o a snapshot of the folksonomy del.icio.us.

Krause, B.; Jäschke, R.; Hotho, A. & Stumme, G.: Logsonomy - Social Information Retrieval with Logdata. HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia. New York, NY, USA: ACM, 2008, S. 157-166
[Volltext]
Social bookmarking systems constitute an established
rt of the Web 2.0. In such systems
ers describe bookmarks by keywords
lled tags. The structure behind these social
stems, called folksonomies, can be viewed
a tripartite hypergraph of user, tag and resource
des. This underlying network shows
ecific structural properties that explain its
owth and the possibility of serendipitous
ploration.
day’s search engines represent the gateway
retrieve information from the World Wide
b. Short queries typically consisting of
o to three words describe a user’s information
ed. In response to the displayed
sults of the search engine, users click on
e links of the result page as they expect
e answer to be of relevance.
is clickdata can be represented as a folksonomy
which queries are descriptions of
icked URLs. The resulting network structure,
ich we will term logsonomy is very
milar to the one of folksonomies. In order
find out about its properties, we analyze
e topological characteristics of the tripartite
pergraph of queries, users and bookmarks
a large snapshot of del.icio.us and
query logs of two large search engines.
l of the three datasets show small world
operties. The tagging behavior of users,
ich is explained by preferential attachment
the tags in social bookmark systems, is
flected in the distribution of single query
rds in search engines. We can conclude
at the clicking behaviour of search engine
ers based on the displayed search results
d the tagging behaviour of social bookmarking
ers is driven by similar dynamics.

Krause, B.; Jäschke, R.; Hotho, A. & Stumme, G.: Logsonomy - Social Information Retrieval with Logdata. HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia. New York, NY, USA: ACM, 2008, S. 157-166
[Volltext]
Social bookmarking systems constitute an established
rt of the Web 2.0. In such systems
ers describe bookmarks by keywords
lled tags. The structure behind these social
stems, called folksonomies, can be viewed
a tripartite hypergraph of user, tag and resource
des. This underlying network shows
ecific structural properties that explain its
owth and the possibility of serendipitous
ploration.
day’s search engines represent the gateway
retrieve information from the World Wide
b. Short queries typically consisting of
o to three words describe a user’s information
ed. In response to the displayed
sults of the search engine, users click on
e links of the result page as they expect
e answer to be of relevance.
is clickdata can be represented as a folksonomy
which queries are descriptions of
icked URLs. The resulting network structure,
ich we will term logsonomy is very
milar to the one of folksonomies. In order
find out about its properties, we analyze
e topological characteristics of the tripartite
pergraph of queries, users and bookmarks
a large snapshot of del.icio.us and
query logs of two large search engines.
l of the three datasets show small world
operties. The tagging behavior of users,
ich is explained by preferential attachment
the tags in social bookmark systems, is
flected in the distribution of single query
rds in search engines. We can conclude
at the clicking behaviour of search engine
ers based on the displayed search results
d the tagging behaviour of social bookmarking
ers is driven by similar dynamics.