Lichao Chen
Fudan University
31 Papers
167 Citations
Lichao Chen is an academic researcher from Fudan University. The author has contributed to research in topics: Average path length & Clustering coefficient. The author has an hindex of 13, co-authored 26 publications. Previous affiliations of Lichao Chen include University of California, Los Angeles.
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Papers
The exact solution of the mean geodesic distance for Vicsek fractals
TL;DR: In this article, the exact formula for the mean geodesic distance of Vicsek fractals is found precisely through the recurrence relations derived from the self-similar structure of the fractals considered.
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Exact solution of mean geodesic distance for Vicsek fractals
TL;DR: In this paper, the exact formula for the mean geodesic distance of Vicsek fractals is found precisely through the recurrence relations derived from the self-similar structure of the fractals considered.
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Mapping Koch curves into scale-free small-world networks
Zhongzhi Zhang,Shuyang Gao,Lichao Chen,Shuigeng Zhou,Hongjuan Zhang,Hongjuan Zhang,Jihong Guan +6 more
TL;DR: In this paper, a mapping technique was proposed to convert Koch fractals into a family of deterministic networks called Koch networks, which have a power-law distribution with exponent in the range between 2 and 3, a high clustering coefficient, a small diameter and average path length and degree correlations.
Mapping Koch curves into scale-free small-world networks
Zhongzhi Zhang,Shuyang Gao,Lichao Chen,Shuigeng Zhou,Hongjuan Zhang,Hongjuan Zhang,Jihong Guan +6 more
TL;DR: This paper proposes a mapping technique converting Koch fractals into a family of deterministic networks called Koch networks, a novel class of networks that incorporates some key properties characterizing a majority of real-life networked systems.
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Evolving small-world scale-free networks consist of cliques
TL;DR: In this paper, a family of scale-free network models consisting of cliques is presented, which is established by a simple recursive algorithm and analyzed both analytically and numerically.
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