發(fā)布時(shí)間：2018-03-14 05:15

  本文選題：科研合作　切入點(diǎn)：超網(wǎng)絡(luò)　出處：《情報(bào)學(xué)報(bào)》2017年03期 　論文類型：期刊論文

【摘要】：為探究科研合作網(wǎng)絡(luò)中知識(shí)擴(kuò)散的演化規(guī)律和動(dòng)力機(jī)制,引入復(fù)雜網(wǎng)絡(luò)和超圖數(shù)學(xué)理論構(gòu)建一種基于科研合作超網(wǎng)絡(luò)的知識(shí)擴(kuò)散演化模型。通過(guò)再現(xiàn)真實(shí)的網(wǎng)絡(luò)組織知識(shí)傳播行為,揭示科研合作網(wǎng)絡(luò)中不同網(wǎng)絡(luò)結(jié)構(gòu)特征、結(jié)點(diǎn)偏好性選擇、知識(shí)增長(zhǎng)老化以及知識(shí)擴(kuò)散途徑與知識(shí)傳播擴(kuò)散過(guò)程的動(dòng)態(tài)關(guān)系�？紤]不同個(gè)體知識(shí)自我增長(zhǎng)以及知識(shí)吸收能力,采用網(wǎng)絡(luò)平均知識(shí)水平、知識(shí)擴(kuò)散速率、知識(shí)均衡程度作為衡量知識(shí)擴(kuò)散效果的評(píng)價(jià)指標(biāo)。仿真結(jié)果表明:具有無(wú)標(biāo)度特征的科研合作網(wǎng)絡(luò)能最大限度地提高網(wǎng)絡(luò)平均知識(shí)水平和知識(shí)擴(kuò)散速率;結(jié)點(diǎn)知識(shí)存量偏好性選擇比結(jié)點(diǎn)度擇優(yōu)連接更能促進(jìn)知識(shí)的有效擴(kuò)散,其影響效果差異并不顯著;集散結(jié)點(diǎn)的退化,極大降低網(wǎng)絡(luò)的平均知識(shí)水平和知識(shí)擴(kuò)散速率,新結(jié)點(diǎn)的知識(shí)增長(zhǎng)與老結(jié)點(diǎn)的退化對(duì)整個(gè)網(wǎng)絡(luò)知識(shí)水平的影響在某時(shí)刻能達(dá)到均衡;個(gè)體實(shí)現(xiàn)自我知識(shí)的增長(zhǎng)—遺傳繼承和突發(fā)變異,在無(wú)標(biāo)度網(wǎng)絡(luò)擴(kuò)散模型的基礎(chǔ)上同樣對(duì)知識(shí)擴(kuò)散產(chǎn)生不同的震蕩作用。研究影響知識(shí)擴(kuò)散的要素以及要素的作用機(jī)理,對(duì)科研結(jié)構(gòu)和科研工作者之間的合作交流和績(jī)效的提高具有重要意義。
[Abstract]:In order to explore the evolution law and dynamic mechanism of knowledge diffusion in scientific research cooperation network, This paper introduces the theory of complex network and hypergraph to construct an evolutionary model of knowledge diffusion based on scientific research cooperation supernetwork. By reproducing the real network organization knowledge transmission behavior, the different network structure characteristics in scientific research cooperative network are revealed. Node preference selection, knowledge growth and aging, and the dynamic relationship between knowledge diffusion path and knowledge diffusion process. Considering different individuals' knowledge self-growth and knowledge absorption ability, the network average knowledge level and knowledge diffusion rate are adopted. The simulation results show that the scale-free scientific research cooperative network can improve the average knowledge level and the knowledge diffusion rate to the maximum extent. The preference choice of node knowledge stock can promote the effective diffusion of knowledge more than the preferred connection of node degree, and the effect is not significant. The degradation of distributed nodes greatly reduces the average knowledge level and the rate of knowledge diffusion. The influence of the knowledge growth of new node and the degradation of old node on the knowledge level of the whole network can be balanced at some time, and the individual realizes the growth of self-knowledge-genetic inheritance and sudden variation. On the basis of scale-free network diffusion model, it also produces different oscillatory effects on knowledge diffusion. It is of great significance to the structure of scientific research and the cooperation and communication between scientific research workers and the improvement of their performance.
【作者單位】： 武漢大學(xué)信息資源研究中心;
【基金】：國(guó)家自然科學(xué)基金“科研團(tuán)隊(duì)動(dòng)態(tài)演化規(guī)律研究”(71273196)
【分類號(hào)】：G353.1;O157.5

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