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Idea networking is a qualitative means of undertaking a cluster analysis or concept mapping of any collection of statements. Networking lists of statements acts to reduce them into a handful of clusters or categories. The statements might be source from interviews, text, web sites, focus groups, SWOT analysis or community consultation. Idea networking is inductive as it does not assume any prior classification system to cluster the statements. Rather keywords or issues in the statements are individually linked (paired). These links can then be entered into network software to be displayed as a network with clusters. When named, these clusters provide emergent categories, meta themes, frames or concepts which represent, structure or sense-make the collection of statements.〔 ==Method== An idea network can be constructed in the following way: * 60 to 200 statements are listed and assigned reference numbers. * A table is constructed showing which statements (by reference number) are linked (paired) and why. For example, statement 1 maybe linked to statements 4, 23, 45, 67, 89 and 107 because they all are about the weather (see table). The number of links per statement should be from 1 to 7; many more will result in a congested network diagram. This means choosing why the statements are linked may need grading as strong or weak, or by sub sets. For example, statements linked as being about weather conditions may be further subdivided into those about good weather, wet weather or bad weather etc.…). This linking is sometimes called ’coding’ in thematic analysis which highlights that the statements can be linked for several and different reasons (source, context, time, etc.). There maybe many tens of reasons why statements are linked. The same statements may be linked for different reasons. The number of reasons should not be restricted to low number as so anticipate the resultant clustering. *The reference numbers are inputed to a network diagramming software, usually in the form of a matrix with the reference numbers along the top and side of the matrix. Each cell will then have a 1 or 0 to indicate whether its row and column reference number are linked. *The software is instructed to draw network diagram using maximum node repulsion. This encourages cluster formation. Around 5 clusters are identified in the network diagram, both visually and using the cluster identification algorithms supplied with the software (e.g. Newnan Girvan sub-groups) *A descriptive collective adjective name is determined for each cluster of statements (a meta narrative, classification name or label). *The list of statements is then reported as being clustered into these five or so cluster names (themes, frames, concepts). For example, one might report that your analysis of the statements shows that those at community meeting were using the concepts of exposure, interaction, safety, light and inspiration in their responses.〔Metcalfe, M. (2007). Problem Conceptualisation Using Idea Networks. Systematic Practice and Action Research. pp. 141-150.〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Idea networking」の詳細全文を読む スポンサード リンク
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