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SOCIAL MAPS
Sociologyindex, Sociology Books 2011
The term 'social map' is used primarily as a metaphor (although one
could actually place data or statistics on a geographic map).
Mapping in the first sense means identifying the social characteristics
of victims, offenders or inmates or other groups.
Social map is also a term used for a visualized analysis of a digital identity of
a person, brand or company. The concept of Corporate Social Map is new but also very
meaningful.
A social maps show where a digital identity is created or formed or discussed. Social maps
set each element in context and proportions.
Such social maps created an intense discussion about digital reputation and digital
identities.
Use of social network analysis to map the social relationships of staff and
teachers at school
Penelope Hawe, and Laura Ghali
Understanding the pre-existing social relationships in a setting is vital in health
promotion, not only for understanding important people to get ‘on side’ with an
intervention but also for appreciating how the intervention itself might change social
structures. Social network analysis is a method for capturing the complexity of social
relationships that has not been used widely in health promotion research. We present the
results of an application in a high school. We characterize the school in terms of the
density of relationships and the centrality of particular staff and teachers. We
illustrate how simply being well-known or being nominated by lots of others as a person to
turn to (a concept reflected in a person's degree centrality score) is not always the best
guide for whom to select as an intervention champion. Indeed, for many interventions, a
person's strategic connection to the most marginal people in a community, school or
workplace could be the most important criteria (a concept better reflected by a person's
betweenness centrality score). Given the ease of survey administration and the high yield
in terms of analytic insight, we recommend that social network analysis be used more
routinely in health promotion intervention design and evaluation.
Maps of random walks on complex networks reveal community structure
Martin Rosvall and Carl T. Bergstrom
Abstract: To comprehend the multipartite organization of large-scale biological and social
systems, we introduce an information theoretic approach that reveals community structure
in weighted and directed networks. We use the probability flow of random walks on a
network as a proxy for information flows in the real system and decompose the network into
modules by compressing a description of the probability flow. The result is a map that
both simplifies and highlights the regularities in the structure and their relationships.
We illustrate the method by making a map of scientific communication as captured in the
citation patterns of >6,000 journals. We discover a multicentric organization with
fields that vary dramatically in size and degree of integration into the network of
science. Along the backbone of the network—including physics, chemistry, molecular
biology, and medicine—information flows bidirectionally, but the map reveals a
directional pattern of citation from the applied fields to the basic sciences.
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