Social Network theory
Social Networks
The Social Networks category of Ross Mayfield's Weblog
Social Network theory, deeply rooted in sociology, has recently found a home in the business world by applying Social Network Analysis to understand informal networks. New visualization tools are just being developed. There is also a dearth of data from organizational settings [my mapping project with Valdis makes a small contribution]. And most importantly, we are just beginning to understand and model the patterns of complex and dynamic social interaction. See the work by Valdis, Karen Stephenson and Albert-László Barabási.
Joel Slayton offers a computer science-centric view of Social Software...
Software need not be tied exclusively to components alone. It would appear that software is, to some degree, shaped by the sub-cultures of data relations from which they are composed...
Software drift is the continuous structural change evidenced as software seeks to both sustain and re-define an appropriate ontogeny. It is an ontogeny that is simultaneously context and environment, application and human interface. Associative rules appear to guide software drift in the form of integrative or dissociative processes of feedback and constraint. And perhaps, just perhaps, the social fabric of software, the ontogeny we observe, is merely a combinatoric of these drifting strata of identity. Three conceptual frameworks need be addressed: Scaled States, Interiority/Exteriority and Cross-Domain Referencing...
Scaling occurs across three parallel trajectories: technical, semantic and behavioral...
To speak of Interiority/Exteriority is to proclaim the autonomy of a unity....
Inferencing is a social action. There are two primary types. One is based on knowledge models and the other on analogy, or cross-domain inferencing.
The Social Networks category of Ross Mayfield's Weblog
Social Network theory, deeply rooted in sociology, has recently found a home in the business world by applying Social Network Analysis to understand informal networks. New visualization tools are just being developed. There is also a dearth of data from organizational settings [my mapping project with Valdis makes a small contribution]. And most importantly, we are just beginning to understand and model the patterns of complex and dynamic social interaction. See the work by Valdis, Karen Stephenson and Albert-László Barabási.
Joel Slayton offers a computer science-centric view of Social Software...
Software need not be tied exclusively to components alone. It would appear that software is, to some degree, shaped by the sub-cultures of data relations from which they are composed...
Software drift is the continuous structural change evidenced as software seeks to both sustain and re-define an appropriate ontogeny. It is an ontogeny that is simultaneously context and environment, application and human interface. Associative rules appear to guide software drift in the form of integrative or dissociative processes of feedback and constraint. And perhaps, just perhaps, the social fabric of software, the ontogeny we observe, is merely a combinatoric of these drifting strata of identity. Three conceptual frameworks need be addressed: Scaled States, Interiority/Exteriority and Cross-Domain Referencing...
Scaling occurs across three parallel trajectories: technical, semantic and behavioral...
To speak of Interiority/Exteriority is to proclaim the autonomy of a unity....
Inferencing is a social action. There are two primary types. One is based on knowledge models and the other on analogy, or cross-domain inferencing.
posted by Liliana at
10:03 am
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