https://segmentfault.com/a/1190000004155021
http://blog.sina.com.cn/s/blog_4cde15140100gi2u.html
http://blog.csdn.net/v_JULY_v/article/details/6132775
http://arxiv.org/pdf/cond-mat/0501368.pdf
https://www.researchgate.net/profile/Clara_Pizzuti/publication/220739952_Community_detection_in_social_networks_with_genetic_algorithms/links/542ea6a50cf277d58e8ed068.pdf
https://arxiv.org/pdf/cond-mat/0604419.pdf
https://www.researchgate.net/profile/Clara_Pizzuti/publication/221417662_A_Multi-objective_Genetic_Algorithm_for_Community_Detection_in_Networks/links/542ea6a10cf29bbc126f39d9.pdf
http://see.xidian.edu.cn/iiip/mggong/down/PHYSA2012Gong.pdf
http://arxiv.org/pdf/cond-mat/0501368.pdf
https://pdfs.semanticscholar.org/c342/c914dff35d6630c5963a54e3a07adf84f44f.pdf
..........
http://arxiv.org/pdf/cond-mat/0308217.pdf
network modularity
During initial population creation, each node is
assigned a random community identifier. However we need
a mechanism to give a bias for initial placement of nodes
into communities. If two nodes are to be in the same
community, they should have connectivity with each other;
in the simplest case they might be neighbors. From this
assumption, after assigning random community IDs to
nodes, we randomly select some nodes and assign their
community IDs to all of their neighbors. This bias in the
initial population creation improves the convergence of the
algorithm and eliminates unnecessary iterations.
Monday, May 16, 2016
Classic machine learning algorithm
PCA
LDA
LSA
matrix factorization
EM
SVM
Random forest
其他：
KMP算法
Hash表算法
LDA
LSA
matrix factorization
EM
SVM
Random forest
其他：
KMP算法
Hash表算法
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