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基于改進BA模型的作者合作加權(quán)網(wǎng)絡(luò)動態(tài)演化研究

發(fā)布時間:2018-04-22 16:09

  本文選題:加權(quán)網(wǎng)絡(luò) + 作者合作。 參考:《情報學報》2017年01期


【摘要】:在考慮科研貢獻度及BA模型網(wǎng)絡(luò)特征的基礎(chǔ)上,引入混合度擇優(yōu)連接規(guī)則、反擇優(yōu)衰退規(guī)則、分段隨機概率連接規(guī)則,構(gòu)建了解析網(wǎng)絡(luò)演化機理的作者合作加權(quán)網(wǎng)絡(luò)演化模型,利用平均場理論和連續(xù)介質(zhì)理論對該網(wǎng)絡(luò)演化模型的度分布和冪律指數(shù)等網(wǎng)絡(luò)特征進行推導,并運用Matlab對不同初始條件下的網(wǎng)絡(luò)演化過程進行仿真,結(jié)果表明作者合作加權(quán)網(wǎng)絡(luò)的度分布具有"均勻與冪律雙重混合分布"和"分段均勻分布"的特點,網(wǎng)絡(luò)演化過程存在"路徑依賴",但是"不敏感依賴于網(wǎng)絡(luò)初始形態(tài)"。同時以CNKI所收錄的2009-2014年情報學領(lǐng)域CSSCI來源期刊的合作發(fā)文情況對作者合作加權(quán)網(wǎng)絡(luò)演化過程中的網(wǎng)絡(luò)度分布進行了驗證,證實作者合作加權(quán)網(wǎng)絡(luò)動態(tài)演化模型具有普適性和合理性。
[Abstract]:On the basis of the contribution degree of scientific research and the network characteristics of BA model, the author introduces a cooperative weighted network evolution model for the analytic network evolution mechanism by introducing the mixed degree selection rule, the anti preferential decline rule and the piecewise random probability connection rule, and using the mean field theory and the continuous medium theory to the degree distribution of the network evolution model. The network features, such as power law index and other network features are derived, and the network evolution process under different initial conditions is simulated with Matlab. The results show that the degree distribution of the author's cooperative weighted network has the characteristics of "uniform and power law dual distribution" and "piecewise uniform distribution". The network evolution process has "path dependence", but "insensitive dependence" At the same time, the network degree distribution in the evolutionary process of the author's cooperative weighted network is verified by the cooperation and dispatch of the CSSCI source journal in the field of 2009-2014 years of information science included in CNKI. It is proved that the author's cooperative weighted network dynamic evolution model is universal and reasonable.

【作者單位】: 華中師范大學計算機學院;武漢大學中國科學評價研究中心;
【基金】:國家社科基金重大項目“基于語義的館藏資源深度聚合與可視化展示研究”(11&ZD152)
【分類號】:G353.1
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本文編號:1787944

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