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Wednesday, 10th March 2010

Life and Death of Online Communities: New Research from Israel and New Jersey

From a University of Haifa Announcement:

The more heterogeneous the community of an online chat channel, the more chances the channel has to survive over time. This has been concluded in a new joint study carried out by researchers of the University of Haifa and the New Jersey Institute of Technology. “This study has shown that an essentially social characteristic significantly influences the survival chances of an online community,” says Dr. Daphne Raban of the University of Haifa who took part in the study.

[Snip]

The study, headed by Dr. Quentin Jones of the New Jersey Institute of Technology with Dr. Mihai Moldovan of NJIT and Dr. Raban, aimed to examine what factors could best predict the chances of an online community to survive over time.

[Snip]

The current study included an analysis of social characteristics, such as the group’s homogeneity and heterogeneity. A group is considered homogeneous when its member turnover is small - namely, when the members who established the group are still the main members after some time. A group is considered heterogeneous when it has turnover and new members are continuously joining it.

A sample 282 chat channels all “born” on the same month was used for survival analysis which explored the relationship between the overall user activity in each channel at its inception and the channel’s life expectancy. The researchers carried out the survival analysis over the course of six months after “birth”. A chat channel was considered “born” when at least three members had exchanged at least four messages in 20 minutes. It was considered “dead” when it had zero activity for four weeks.

[Snip]

According to the current study, another reliable predictor is the number of messages that are posted between members of an online community. This number does not have much significance over the first two hours of the group’s existence, but the higher the number of messages between members over the following three time phases, the higher the chances of the community’s survival over time.

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Source: University of Haifa


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