Local overlapping community detection is a hot problem in the field of studying complex networks. It is the process of finding dense clusters based on local network information. This paper proposes a method called local greedy extended dynamic overlapping community detection (GLOD) to address the challenges of detecting high-quality overlapping communities in complex networks. The goal is to improve the accuracy of community detection by considering the dynamic nature of community boundaries and leveraging local network information. The GLOD method consists of several steps. First, a coupling seed is constructed by selecting nodes from blank communities (i.e., nodes not assigned to any community) and their similar neighboring nodes. This seed serves as the starting point for community detection. Next, the seed boundaries are extended by applying multiple community fitness functions. These fitness functions determine the likelihood of nodes belonging to a specific community based on various local network properties. By iteratively expanding the seed boundaries, communities with higher density and better internal structure are formed. Finally, the overlapping communities are merged using an improved version of the Jaccard coefficient, which is a measure of similarity between sets. This step ensures that overlapping nodes between communities are properly identified and accounted for in the final community structure. The proposed method is evaluated using real networks and three sets of LFR (Lancichinetti–Fortunato–Radicchi) networks, which are synthetic benchmark networks widely used in community detection research. The experimental results demonstrate that GLOD outperforms existing algorithms and achieves a 2.1% improvement in the F-score, a community quality evaluation metric, compared to the LOCD framework. It outperforms the best existing LOCD algorithm on the real provenance network. In summary, the GLOD method aims to overcome the limitations of existing community detection algorithms by incorporating local network information, considering overlapping communities, and dynamically adjusting community boundaries. The experimental results suggest that GLOD is effective in improving the quality of community detection in complex networks.

Fluid office documents, as semi-structured data often represented by Extensible Markup Language (XML) are important parts of Big Data. These office documents have different formats, and their matching Application Programming Interfaces (APIs) depend on developing platform and versions, which causes difficulty in custom development and information retrieval from them. To solve this problem, we have been developing an office document query (ODQ) language which provides a uniform method to retrieve content from documents with different formats and versions. ODQ builds common document model ontology to conceal the format details of documents and provides a uniform operation interface to handle office documents with different formats. The results show that ODQ has advantages in format independence, and can facilitate users in developing documents processing systems with good interoperability.

The heterogeneous access control information scattered around different organizations or units is difficult to be gathered and audited, however, easy to be maliciously tampered. Aiming at the problems, this paper presents a blockchain-based storage scheme to store access control information, which can protect information privacy and facilitate the audit work. This is achieved by exploiting consortium blockchain, cryptography technology. Based on the scheme, we define the format of Access Control Record (ACR), design upload and download protocols, and realize the signature and encryption process for ACRs in a simulation environment. Theoretical analyses demonstrate that the proposed storage scheme needs lower storage cost and has higher efficiency compared with existing schemes, and can resist typical malicious attacks effectively.

Nowadays,netdisks have played an important role in our life. The main problem of those netdisks is that they generally provide functions of file storage and retrieve, but fail to support document collaborative editing. In this paper, we analyse architectures of the general netdisks and propose a method to expand the function of document collaborative editing for netdisks. Based on the extended method, we further design, implement a document collaborative editing system named DAVOffice, and combine it to a netdisks interface. Extensive experiments are conducted and the results verify that the proposed method is reasonable, easy to combine netdisks and extend collaborative editing functions for netdisks. Specifically, the proposed method can effectively expand applications of netdisks and this connection has achieved lower communication traffic compared with several similar well-known products.

Aiming at the common problems of intelligent document platform-dependency, this paper proposes an MVC-based (Model View Controller-based) intelligent document model using UIML (User Interface Markup Language). The model is made on the basis of the previous work of our team, and the difference is that the new model separates user interface and interaction descriptions from the view component to make the intelligent document model much more independent of platform and programming language. To verify the intelligent document model, we implemented a prototype, which can support intelligent operations. The test result shows that our approach is correct. The model not only follows MVC framework, but also provides good flexibility and independence.

Net disks are playing an increasingly important role in our daily works. Currently, net disks have given us an ideal ecosystem to store and share files; however, they generally cannot support collaborative document editing. To overcome the shortage, after analyzing the model of cloud storage and net disks, this paper proposes a solution to extend net disks' collaborative editing functionality via API. Based on the proposed method, a net disk system coupled with collaborative document editing functionality is built. The experiment result shows that the extending approach is feasible and effective. This approach can not only make net disks support document collaborative editing, but also be easy to be implemented.