Analysis on Influential Functions in the Weighted Software Network
By a News Reporter-Staff News Editor at Computer Weekly News -- Data detailed on Networks - Security and Communication Networks have been presented. According to news reporting out of Beijing, People’s Republic of China, by VerticalNews editors, research stated, “Identifying influential nodes is important for software in terms of understanding the design patterns and controlling the development and the maintenance process. However, there are no efficient methods to discover them so far.”
Funders for this research include National Key R&D Program of China, National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Advanced Program of Postdoctoral Scientific Research.
Our news journalists obtained a quote from the research from the Beijing Institute of Technology, “Based on the invoking dependency relationships between the nodes, this paper proposes a novel approach to define the node importance for mining the influential software nodes. First, according to the multiple execution information, we construct a weighted software network (WSN) to denote the software execution dependency structure. Second, considering the invoking times and outdegree about software nodes, we improve the method PageRank and put forward the targeted algorithm FunctionRank to evaluate the node importance (NI) in weighted software network. It has higher influence when the node has lager value of NI. Finally, comparing the NI of nodes, we can obtain the most influential nodes in the software network.”
According to the news editors, the research concluded: “In addition, the experimental results show that the proposed approach has good performance in identifying the influential nodes.”
For more information on this research see: Analysis on Influential Functions in the Weighted Software Network. Security and Communication Networks , 2018;():1-10. Security and Communication Networks can be contacted at: Wiley-Hindawi, Adam House, 3RD Fl, 1 Fitzroy Sq, London, Wit 5HE, England. (Wiley-Blackwell - http://www.wiley.com/; Security and Communication Networks - http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0122)
Our news journalists report that additional information may be obtained by contacting C. Shan, Beijing Inst Technol, Beijing Key Lab Software Secur Engn Technical, Beijing 100081, People’s Republic of China. Additional authors for this research include H.T. He, X.M. Tian, Y.L. Wei and G.Y. Huang.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1155/2018/1525186. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-05-09), Findings from Beijing Institute of Technology Provide New Insights into Security and Communication Networks (Analysis on Influential Functions in the Weighted Software Network), Computer Weekly News, 299, ISSN: 1944-1606, BUTTER® ID: 015632046
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