Fog　computing　is　an　emerging　technology　that　aims　at　reducing　the　load　on　cloud　data　centers　by　migrating　some　computation　and　storage　toward　end-users.　It　leverages　the　intermediate　servers　for　local　processing　and　storage　while　making　it　possible　to　offload　part　of　the　computation　and　storage　to　the　cloud.　Inspired　by　the　benefits　of　fog　computing,　we　present　a　novel　paradigm　that　considers　the　context　of　social　phenomena.　Online　and　off-line　human　interactions　and　the　mobile　social　network＇s　relentless　growth　allowed　real-world　data　and　created　users＇　traces.　We　categorize　social　phenomena　into　two　main　groups　to　integrate　with　fog　computing　from　social　interactions＇　continuous　development.　In　this　regard,　the　first　contribution　addresses　the　social　relationship　between　the　end-users　and　fog　nodes　based　on　personal　benefits.　The　social　relationship　considers　trust,　reciprocity,　incentives,　and　selfishness　mechanisms.　The　second　contribution　describes　the　group-based　social　behavior,　i.e.,　centrality,　community,　and　colocation　in　fog　computing　networks　(FCNs).　We　also　discuss　the　impact　of　social　phenomena　on　FCNs　in　network　performance,　resource　allocations,　security,　and　privacy.　We　present　open　challenges　and　highlight　future　directions　on　social　perception　to　encourage　follow-up　work.