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Zengru Di
Beijing Normal University
125Publications
20H-index
1,379Citations
Publications 125
Newest
#1Ke Gu (BNU: Beijing Normal University)H-Index: 1
#2Ying Fan (BNU: Beijing Normal University)H-Index: 16
Last.Zengru Di (BNU: Beijing Normal University)H-Index: 20
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Abstract It is obviously that many user-object online rating systems usually contain the information of the users’ attitudes: like or dislike the objects, these systems can be represented by signed bipartite networks. The common recommendation systems work on unsigned networks. Even if some consider the negative edges, they are all concerned with the objects that the recommended user likes. However, the objects that the user does not like are more personalized. Based on Network-Based Inference (...
#1An ZengH-Index: 17
#2Zhesi ShenH-Index: 6
Last.Shlomo HavlinH-Index: 99
view all 8 authors...
We analyze the publication records of individual scientists, aiming to quantify the topic switching dynamics of scientists and its influence. For each scientist, the relations among her publications are characterized via shared references. We find that the co-citing network of the papers of a scientist exhibits a clear community structure where each major community represents a research topic. Our analysis suggests that scientists tend to have a narrow distribution of the number of topics. Howev...
#1Yanmeng Xing (BNU: Beijing Normal University)
#2An Zeng (BNU: Beijing Normal University)H-Index: 17
Last.Zengru Di (BNU: Beijing Normal University)H-Index: 20
view all 4 authors...
Survivability is one of the features for success in contemporary science ecosystem. In this paper, we analyze the publication records of physicists in American Physical Society journals, aiming to identify the career length of each researcher and accordingly investigate the dropout phenomenon in science by the example of physicists. We find that scientific career is a complex nonlinear evolution process and can be generally divided into four stages regarding the dropout rate. In the early career...
#2An ZengH-Index: 17
Last.Zengru DiH-Index: 20
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Ranking the significance of scientific publications has been a challenging topic for a long time. So far, many ranking methods have been proposed, one of which is the well-known PageRank algorithm. In this paper, we introduce aging characteristics to the PageRank algorithm via considering only the first 10 year citations when aggregating resource from different nodes. The validation of our new method is performed on the data of American Physical Society journals. The results indicate that taking...
#1Lingbo Li (BNU: Beijing Normal University)H-Index: 1
#2Ying Fan (BNU: Beijing Normal University)H-Index: 16
Last.Zengru Di (BNU: Beijing Normal University)H-Index: 20
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Abstract The evolution dynamics of public opinion is a hot issue in complex networks research. And the Ising model is the earliest classic dynamic model of public opinion. Although signed networks can describe amicable and antagonistic relationship in complex real-world systems accurately, and the research on dynamic process of public opinion evolution on signed networks is valuable, few people have paid attention to that. Previous methods for opinion diffusion cannot be applied to signed networ...
#2Ying FanH-Index: 16
Last.Zengru DiH-Index: 20
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Collaboration among researchers plays an important role in scientific discoveries, especially in multidisciplinary research. How to allocate credit reasonably to coauthors of a paper is a long-standing problem in the science of sciences. The collective credit allocation method (CCA method) proposed by Shen, H. W. and Barabasi, A. L. provides a novel view to solve this problem, which measures the coauthors’ contribution to a paper based on the citation process by the scientific community. Neverth...
#1Zhesi Shen (CAS: Chinese Academy of Sciences)H-Index: 6
#2Zhesi Shen (CAS: Chinese Academy of Sciences)H-Index: 2
Last.Jinshan Wu (BNU: Beijing Normal University)H-Index: 11
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Often we need to compare two sets of data, say X and Y, and often via comparing their means \(\mu _{X}\) and \(\mu _{Y}\). However, when two sets are highly overlapped (say for example \(\sqrt{\sigma ^{2}_{X}+\sigma ^{2}_{Y}}\gg \left| \mu _{X}-\mu _{Y}\right|\)), ranking the two sets according to their means might not be reliable. Based on the observation that replacing the one-by-one comparison, where we take one sample from each set at a time and compare the two samples, with the \(K_{X}\)-by...
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