Difference between revisions of "Social network analysis"
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==Definition== | ==Definition== | ||
{{PAGENAME}} is {{ {{PAGENAME}} }} | {{PAGENAME}} is {{ {{PAGENAME}} }} | ||
| − | '''Source: ''' [[Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations]] | + | '''Source: ''' [[Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations]] ? |
| + | {{PAGENAME}} is {{ {{PAGENAME}} 2 }} | ||
| + | Source: Martin | ||
== Summary== | == Summary== | ||
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'''Source: ''' [[Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations]] | '''Source: ''' [[Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations]] | ||
| + | |||
| + | ==Description== | ||
| + | Social network analysis can provide useful insights into the internal operation of a social network | ||
| + | ** the size of the network | ||
| + | ** role comoposition (types of members in the network, i.e. employees, external professionals, retirees) | ||
| + | ** the level of interconnectedness among members (i.e. loose groups, close 'cliques') | ||
| + | ** the multiplexity of relationships (degree to which interaction on personal and professional level are tied together) | ||
| + | ** key interconnecting nodes between sub-groups, also called 'brokers' | ||
| + | ** activity of members | ||
| + | Source: Martin | ||
== References == | == References == | ||
Revision as of 07:26, 18 October 2013
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Definition
Social network analysis is Template:Social network analysis Source: Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations ? Social network analysis is a tool to visually represent and mathematically understand the characteristics of social networks, which consist of nodes (i.e. humans, groups, organizations), their mutual relationships (i.e. direction of knowledge flows, personal/professional interactions) and sometimes the frequency of interaction within the relationship. Source: Martin
Summary
Description
Effective knowledge-sharing is a key to success in most organizations. Social network analysis can document how knowledge is currently shared within the organization and help identify simple initiatives that often lead to a dramatic increase in knowledge sharing. Social network analysis can also help managers to understand how knowledge enters and flows within an organization. It can also identify pools of knowledge within the organization and can document how accessible it is to others.
Source: Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations
Description
Social network analysis can provide useful insights into the internal operation of a social network
- the size of the network
- role comoposition (types of members in the network, i.e. employees, external professionals, retirees)
- the level of interconnectedness among members (i.e. loose groups, close 'cliques')
- the multiplexity of relationships (degree to which interaction on personal and professional level are tied together)
- key interconnecting nodes between sub-groups, also called 'brokers'
- activity of members
Source: Martin
