Research On Structure And Behavior And Its Characteristics Of The Open Source Community

With the development and popularization of network technology and globalizationspeeding up, the community, collaboration and spontaneous organizations emerge as thetimes require, these organizations is not based on hierarchy and control. Some scholars havepointed out that this kind of organization eventually will replace the traditional organizationand become the main motive force of national wealth creation. The open source community isa typical representative of the new organization. Crowston (2012) pointed out that theresearch on the open source community is still in the initial stage, the first hand data, it isdifficult to obtain, most of the scholars is the use of secondary data, which may causedeviations; secondly, researchers need to draw on theoretical foundations that have beenutilized in prior research on social interaction, software development, as well as othertheoretical bases that are relevant to FLOSS phenomenon, to develop a more theoreticallygrounded understanding of FLOSS development from multiple angle with a new model andnew theory.In this paper, the open source community as the research object, focused on the researchcommunity structure and behavior and its characteristics, and try to answer the followingquestions: How to characterize the participants in the open source community partnershipsand communicative relationship structural features? The evolution of these relationships overtime and how is? What is the behavioral characteristics of the different players? Simpleindividual or collective power of amateur individuals sometimes in the open sourcecommunity than the professional company, reflects the collective intelligence. What depthfeatures from the collective intelligence perspective in open source community structure andbehavior? The collective intelligence how to evaluate? What institutional features of thecollective intelligence? These features give the knowledge-based enterprise management whatare the implications?Follow the above problems, Microsoft CodePlex open source community representativefor the object. First of all, the use of data mining technology, access to the community in asmall c#community in June2006-2012year in June a total of6years of all productionrecord, communication records as well as the bug discussion records a total of nearly400000,to get the first hand data. Then, the comprehensive utilization of complex network and its nullmodel and human behavior dynamics method to the open source community structure andbehavior characteristics for analysis; the DEA method and correlation analysis to evaluate the collective wisdom of the open source community; From the perspective of the collectivewisdom of the open source community structure and behavior depth features to analyze;Finally, Inductive method to explore the institutional features of the collective wisdom of theopen source community; Analogy analysis to make recommendations to the management ofknowledge-based enterprises.Conclusion of the study: Firstly, based on the establishment of the project-theproduction of binary weighted network model, producer cooperation weighting networkmodel, project production time series model, communication network time series model, bugdiscussed weighted network model and the time series model, weighted complex networkmodel to better reflect the cooperative relations of production, communication relationshipstructure and evolution characteristics; coexistence of the open source communitydevelopment model the cave and network type, this mode of coexistence essentiallyunchanged over time; The participant communication structure for the network type;communication area having a communication function, but also has the characteristic of "Stimergy", first increased and then stabilized over time, Forum formula communicate networkscale, however, a question-and-answer communication network size indeed graduallyincreased; Secondly, based on the dynamics of human behavior and found activity, timedistribution, burst and Long-Term Correlation reveals good time behavior of the participants;participants duration was extensive or power-law distribution, that is, most of the participantsonly browse, but a small number of participants very long duration; human behavior in theopen source community is not only no "standard class", and the time interval distribution ofdiversity, some of the exponential distribution, some power-law distribution, these results onthe open source community management and simulation research of great significance.Thirdly, the DEA performance evaluation, Brooks’s Law and the open source communitygovernance mechanisms discussed the open source community reflects the collective wisdom;project participants, the more people, the greater the performance, the less number of bugs;From the perspective of the collective intelligence, the role of a participant in the open sourcecommunity, background, structure, behavior, view there is diversity, diversity is a source ofcollective wisdom of the play; various roles of the open source community has differentrights,these roles among individuals according to the capabilities and contributions amount toconvert each other, but between the role of information in an open, decentralized system andinformation disclosure principles of the independence of the decision-making system; opensource community project based bug votes collective decision-making, project performanceand the number of developers weakly correlated, while the strong positive correlation with the number of votes. Fourthly, open source community rules, property rights system,Spontaneous governance, project internal governance system to protect the collective wisdomof the open source community. Based on similar characteristics of the open source communityand knowledge-based enterprises, the knowledge-based enterprise management is proposed.