英和和英

出典:『Wikipedia』 (2011/06/17 18:29 UTC 版)

英語による解説

引用

Social network analysis software (SNA software) facilitates quantitative or qualitative analysis of social networks, by describing features of a network, either through numerical or visual representation. Networks can consist of anything from families, project teams, classrooms, soccer teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweeness and centrality, or individual attributes such as age, sex, or income (see this e-book for further detail). SNA software generates these features from raw network data formatted in an edgelist, adjacency list, or adjacency matrix (also called sociomatrix), often combined with (individual/node-level) attribute data (See Hanneman's chapter on network data for further detail). Though the vast majority of network analysis software uses a plain text ASCII data format, some software packages contain the capability to utilize relational databases to import and/or store network features.