  We consider a network consisting of $n$ nodes that aim to track a continually
updating process or event. To disseminate updates about the event to the
network, two sources are available, such that information obtained from one
source is considered more reliable than the other source. The nodes wish to
have access to information about the event that is not only latest but also
more reliable, and prefer a reliable packet over an unreliable packet even when
the former is a bit outdated with respect to the latter. We study how such
preference affects the fraction of users with reliable information in the
network and their version age of information. We derive the analytical
equations to characterize the two quantities, long-term expected fraction of
nodes with reliable packets and their long-term expected version age using
stochastic hybrid systems (SHS) modelling and study their properties. We also
compare these results with the case where nodes give more preference to
freshness of information than its reliability. Finally we show simulation
results to verify the theoretical results and shed further light on behavior of
above quantities with respect to dependent variables.
