We consider communication situations games being the combination of a TU-game and a communication graph. We study the average tree (AT) solutions introduced by Herings et al. (Games Econ Behav 62:77–92, 2008; Games Econ Behav 68:626–633, 2010). The AT solutions are defined with respect to a set, say $${\fancyscript{T}}$$ , of rooted spanning trees of the communication graph. We prove the following results. Firstly, the AT solution with respect to $${\fancyscript{T}}$$ is a Harsanyi solution if and only if $${\fancyscript{T}}$$ is a subset of the set of trees introduced in Herings et al. (2010). Secondly, the latter set is constructed by the classical DFS algorithm and the associated AT solution coincides with the Shapley value when the communication graph is complete. Thirdly, the AT solution with respect to trees constructed by the other classical algorithm BFS yields the equal surplus division when the communication graph is complete.