The Research On Collaborative Network Of Users In Baidu Encyclopedia Community Based On Network Spectrum

Online Encyclopedia is a typical community of the Peer Production. The characteristics ofcollaborative relations among heterogeneous producters are studied by using the networkspectrum methods in Baidu Encyclopedia. The specific contents as following:The contributors’ heterogeneity and behavioral characteristics are studied by introducingthe basic concepts of Critical Mass Theory. The results show contributors heterogeneity notonly presents in resource, but also in interest. Content production function is more likeaccelerating function. Therefore, Baidu Encyclopedia has the critical conditions that thecollective content are started and become self-sustaining. Besides, both of the contributor’slocal and whole contributions satisfy the collective phenomenon in Critical Mass Theory, i.e.,a small segment of the population that chooses to make big contributions to the articles whilethe majorities do little or nothing. The same phenomenon also exists on the “Rigor” and“Diversity” of these articles.The network analysis method which reflects the diversity of contributors is broughtforward to study the characteristics of collaborative relations among the contributors. Theresults show that collaborative networks are scale-free and disassortative network with highaggregation. There exists a significant correlation between the node characteristics andcontribution in community with relatively strong professional knowledge, but not incommunity with relatively broad professional knowledge. Furthermore, the results oncorrelations in dynamic network analysis show that Connectivity and Betweenness alwayshave s significant positive correlation with user’s contributions while Clustering always havea significant negative correlation with contributions. Particularly, there exists a reversal overtime in correlation between Closeness and contribution.The collective state induced by structure of dynamic collaborative network and thelocalization on dynamic collaborative network are studied by employing the networkspectrum methods. Due to the conctributor heterogeneity, we create the relation betweennetwork spectrum and energy spectrum of corresponding system by introducing Hückelmodel of Molecular Systems with the second quantized approach. This mapping model extends the research method of network spectrum. The research results show that part of thecollective states induced by structure of dynamic collaborative network are collective order,and parts are collective soft chaos. In the tight-binding approximation system, the electronicmotions on sectional network with over time increasingly tend to strongly localization. Also,the collective motion state follows an an approximate cyclical fluctuations to deviate thestep-like function state. At the same time, the results through level spacing sequence ofspectrum show that part of the collective motions of ecectrons on sectional collaborativenetworks are in localized state while some other may in intermediate state.The characteristics of fluctuation sequence and trend sequence are studied by using thetime series analysis method. The results show that the Power Spectrum of fluctuationsequence of network spectrum in every sectional network of dynamic collaborative followsthe Power-law relation, which is in agreement with the universality in quantum energyspectrum fluctuation. Besides, all of the spectrum sequences of dynamic collaborativenetwork section have the multi-fractal structure.To sum up, this thesis studies the characteristics of collaborative relation, and bringsforward the quantum mapping model of weighted network reflecting the diversity ofcontributors to create the relation between the network spectrum and network spectrum.Therefore, this research not only has the value of empirical research, but also the value ofmethodology.