  Information spread plays crucial role in risk management in case of
environmental danger. The structure of local society may be well described by
social network analysis. We have investigated the role of hubs within that
concept. In case of danger, there are two different strategies of information
management: 1) information spread that leads to awareness of the whole society
2) keeping the whole information in secret under control that leads to a
partial social awareness, available to a small number of people only. In our
model, the probability of information spread between two nodes is inverse
proportional to connectivity of the next node because people who have a lot of
connections are more immune. We have applied agent-based modelling on Barabasi
Albert networks to explore various scenarios of information spread. We have
considered recent arsenic environmental danger in G{\l}og\'ow and Legnica
(Copper Basin) according to the official available data (2015 - 2016) from
social network analysis point of view. We have considered various levels of
environmental danger. Despite blocking of information by hubs, the successful
information spread is possible when levels of danger are high enough. The
perception and impression of information spread by society is also.
