To that end, the company recently launched a forum as part of its Stripe Atlas program, and also announced that it acquired knowledge-sharing community Indie Hackers earlier this week.
Unsurprisingly, participants attributed a high level of importance to communication, sharing community knowledge and resources, developing respectful trust-based relationships and negotiating with other stakeholders.
Social network theory is one of the foundations for analyzing knowledge sharing in virtual communities (Saifi et al., 2016).
For example in [2] and [3] number of factors that influence knowledge sharing in online communities have been identified.
Hendriks (2015) defined knowledge sharing in a virtual community as the sharing of community-related information, ideas, suggestions, and expertise among individuals (Yu et al., 2010).
This paper introduces a model of knowledge sharing in an online community of practice that suggests that knowledge contributions will be made by those who possess the relevant knowledge.
With regards to decisions about knowledge sharing in a virtual community to gain advantage, people will choose different "strategies" in knowledge sharing based upon their different positions in the network.
In an inter-person virtual community, thus, knowledge sharing behaviors of members contribute to improving status to gain advantages.
In this paper, we establish a knowledge sharing behavior database of "each community member per day" and use UCINET software to analyze and calculate the data.
By inputting all the knowledge sharing behavior in the CMKT community and its associated data into UCINET software, we coded and analyzed the social network of knowledge sharing in each day of March, and calculated the node centrality of the 10 most active members in a day.
