Title :
Collective Dynamics of Crowdfunding Networks
Author :
Posegga, Oliver ; Zylka, Matthaus P. ; Fischbach, Kai
Author_Institution :
Univ. of Bamberg, Bamberg, Germany
Abstract :
The crowd funding phenomenon has garnered a considerable amount of attention in recent years. Several online crowd funding platforms have risen to prominence, they can be characterized as two-sided marketplaces. Recent research reveals initial insights into the dynamics and characteristics of crowd funding networks arising from such marketplaces. This research, though, is restricted primarily to analyses of static network snapshots and at the dyadic level. In this study, we use a large longitudinal dataset to analyze the behavior of actors on both sides of the market who promote their own and fund others´ projects. We investigate the influence of endogenous and exogenous effects on the dynamics of crowd funding networks. Our results provide evidence for mechanisms promoting a hierarchical network organization and the absence of homophily-related mechanisms regarding gender or geographic distance. Moreover, we establish that experienced and popular project creators fund fewer projects.
Keywords :
Internet; financial data processing; gender issues; collective dynamics; dyadic level; endogenous effect; exogenous effect; gender; geographic distance; hierarchical network organization; longitudinal dataset; online crowd funding platforms; static network snapshots; Context; Data models; Geography; Investment; Media; Organizations; SIENA; crowdfunding; network dynamics; social network analysis; stochastic actor-based model;
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.2015.394