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Local community detection algorithms usually select seed nodes for community detection.To improve the quality of effectiveness of seed node selection,we propose an overlapping community detection algorithm based on subgraph structure(SUSBOCD).This algorithm proposes a new measure of node importance,which not only considers the number of neighbors,but also considers the degree of density between neighbors.First,SUSBOCD selects the most important node that is not visited and the most similar neighbor node,and merges the two nodes and their common neighbor nodes to form an initial seed subgraph.The process runs iteratively until all nodes have been visited.Second,the similarity is judged according to the neighborhood information of the seed subgraph.If it is similar,it is merged to form the initial community structure.The process runs iteratively until all seed subgraphs are visited.Finally,we optimize the community.If there are nodes without assigned communities,they are added to the most similar community,and then the community structure with high overlap is merged.Experiments on real and artificial networks show that SUSBOCD can improve the quality of overlapping community partition effectively in the three evaluation indexes of ONMI,EQ and Omega.

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Copyright of Computer Engineering & Science / Jisuanji Gongcheng yu Kexue is the property of Computer Engineering & Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To investigate stress distribution of different material restored post-cores in dentine and provide a theoretical guidance for clinical use., Methods: A three-dimensional finite element model of maxillary central incisor restored with post-core and PFM crown was constructed by SCT scan technology. Based on this model, stress distribution in dentine was analyzed before and after post-core restorations with 6 different materials, including cast Ni-Cr alloy, cast titanium alloy, cast gold alloy, glass fiber reinforced composite, polythene fiber reinforced composite, and common composite resin., Results: When the tooth was restored with cast Ni-Cr alloy post and PFM crown, the maximum tensile stress and Von Mises stress in dentin at post apex increased 152% and 162% respectively, compared with a tooth restored only with PFM crown. If polythene fiber reinforced composite was used as post material, the stress distribution did not significantly change. When the other materials were used for the post, the stress distribution changed greatly. The elastic modulus of post-core materials affected the stress distribution pattern in dentine., Conclusion: The materials with elastic modulus similar to that of dentin, such as polythene fiber reinforced composite, may be suitable for post restoration.