Analysis of online activity characteristics of hidden populations based on public data

Analysis of online activity characteristics of hidden populations based on public data

Blog Article

Data from 36 Baidu Tieba was collected.The sub-groups of users from three dimensions of time (temporal),content (text) and interaction (network) were analyzed,and patterns of their online activity were tried to extract and characteristics of LIQUID BLEACH different populations was inferred.The result indicates that the temporal pattern of posting behavior is more regular for HIV-related users.

Communities followed by these users are also HIV-related,revealing a significant clustering pattern.On the other hand,MSM groups are more active during midnight,and their motivation of online activities in the community is for entertainment and for meeting partners.There is also a strong preference of following the Insurance same type of Tiebas for MSM groups.

In general,HIV-related users are very concerned about their health status.On the contrary,MSM-related users are lack of awareness for protection and prevention of AIDS.