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【正文】 v 網(wǎng)絡(luò)通緝特性與個(gè)性化推薦效果之間的關(guān)聯(lián)關(guān)系研究? 度量二部分網(wǎng)絡(luò)的統(tǒng)計(jì)指標(biāo)，找到這些指標(biāo)，尤其是推薦多樣性之間的關(guān)系。 v Int. J. Syst. Sci. and Syst. Engi. 16, 107 (2023)。 23, 2327 (2023)。 18, 294 (2023). v Chin. Phys. Lett. 25, 773 (2023)。v Int. J. Mod. Phys. C 18 1087 (2023)。 371, 861 (2023)。 4復(fù)雜網(wǎng)絡(luò)論文作者合作網(wǎng) (19992023)5復(fù)雜網(wǎng)絡(luò)研究小組狀況 (19992023)6復(fù)雜網(wǎng)絡(luò)各個(gè)國(guó)家研究狀況 (19992023)7利用引文分析觀察當(dāng)前的研究熱點(diǎn)(19992023)8Top cited authors(19992023)9各研究領(lǐng)域之間的關(guān)系 (19992023)10個(gè)性化推薦的知識(shí)圖譜11Top cited authors12目前的研究熱點(diǎn)13Outline1. Background introduction2. Network evolution models3. Dynamical properties on scalefree works4. Personalized remendation14 Network Evolution Models1. Multistage random growing smallworld works with powerlaw degree distribution2. Growing scalefree work model with tunable assortative coefficient3. Selflearning mutual selection model for weighted works4. Random evolving works under the diameter and dverage connectivity constraint15 random growing smallWorld works with powerlaw degree distributionLiu JianGuo, Dang YanZhong and Wang ZhongTuo, Chinese Physics Letters 23(3) 746749 (2023)?One node is added in each time step；?Select the node u according to the preferential mechanism；?Select a neighbor node of node u；16171. One node is added in each time step；2. Select the node u according to the preferential mechanism；3. Select a neighbor node of node u according to ps；. Growing scalefree work model with tunable assortative coefficientQiang Guo, Tao Zhou, JianGuo Liu et al., Physica A 371 814822 (2023)1819Two parameters: attractive factor p, the number of candidates m Selflearning mutual selection model for weighted worksJianGuo Liu et al., DCDIS B Supplement, Complex Networks, 14 (S7) 3336, (2023). 123 4123 45m=2123 452021 Random Evolving Networks Under the Diameter and Average Connectivity Constraint The growth of random works under the constraint that the diameter, defined as the average shortest path length between all nodes, and the average connectivity remains approximately constant is studied. We showed that, if the work maintains the form of its degree distribution and the maximal degree is a Ndependent cutoff function, then the degree distribution would be appr
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