The Semantics of Tagging - Social Semantics: The Search for Meaning on the Web - page 133

robustness

nonlinear

Pajek

chaos

optimization math

mathematics powerlaw

dynamics

art

algorithms complexsystems

simulation physics

computational

systems

complex

alife

visualization

computation

complexity

neural computing

networks

community

ai

emergence

artificial

evolution

information

evolutionary

theory

science economics

markets

research

society

cognition

semantics

organization

behavior

biology

environment

genetics ecology

life

ecosystem

Pajek

Fig. 5.12 Folksonomy graph, considering all relevant inter-tag correlations

The results from the visualization algorithm match relatively well with the
intuitions of an expert in the organization of content in this field. Some nodes
are much larger than others which again shows that taggers prefer to use general,
heavily used tags (e.g. the tag 'art' was used 25 times more than 'chaos'). Tags such
as 'chaos', 'alife', 'evolution', or 'networks' which correspond to topics generally
seen as close to complexity science are close to it. At the other end, the tag 'art' is
a large, distant node from 'complexity.' This is not so much due to the absence of
sites discussing aspects of complexity in art as there are quite a few of such sites,
but instead due to the fact that they represent only a small proportion of the total
sites tagged with 'art,' leading to a large distance measure.
In Fig. 5.12 , the distances to 'complexity' change significantly, due to the
addition of the correlations to all other tags. However, one can observe several
clusters emerging which match reasonably well with intuitions regarding the way
these disciplines should be clustered. Thus, in the upper-left corner one can
find tags such as 'mathematics', 'algorithmics', 'optimization', 'computation',
while immediately below are the disciplines related to AI ('neural' [networks],
'evolutionary' [algorithms] and the like). The bottom left is occupied by tags
with biology-related subjects, such as 'biology', 'life', 'genetics', 'ecology' etc,
while the right-hand side consists of tags with more 'social' disciplines ('markets',
'economics', 'organization', 'society' etc.). Finally, some tags are both large and
central, pertaining to all topics ('research', 'science', 'information').