Together, social media and crowdsourcing can help entrepreneurs to attract external
finance and early-stage customers. This paper investigates the characteristics and discourse of an
issue-centered public on Twitter organized around the hashtag #crowdfunding through the lens of
social network theory. Using a dataset of 2,732,144 tweets published during a calendar year, we use
exploratory data analysis to generate insights and hypotheses on who the users in the #crowdfunding
network are, what they share, and how they are connected to each other. In order to do so, we adopt
a range of descriptive, content, network analytics techniques. The results suggest that platforms,
crowdfunders, and other actors who derive income from the crowdfunding economy play a key
role in creating the network. Furthermore, latent ties (strangers) play a direct role in disseminating
information, investing, and sending signals to platforms that further raises campaign prominence.
We also introduce a new type of social tie, the “computer as a social actor”, previously unaddressed
in entrepreneurial network literature, which play a role in sending signals to both platforms and
networks. Our results suggest that homophily is a key driver for creating network sub-communities
built around specific platforms, project types, domains, or geography
Item Type:
Article (Published)
Refereed:
Yes
Additional Information:
Article number: 80
Uncontrolled Keywords:
crowdfunding; entrepreneurship; social network analysis; twitter; social media; strangers; computer as a social actor; CASA