  Group centrality is an extension of the classical notion of centrality for
individuals, to make it applicable to sets of them. We perform a SWOT
(strengths, weaknesses, opportunities and threats) analysis of the use of group
centrality in semantic networks, for different centrality notions: degree,
closeness, betweenness, giving prominence to random walks. Among our main
results stand out the relevance and NP-hardness of the problem of finding the
most central set in a semantic network for an specific centrality measure.
