Study on Discovery Method of Cooperative Research Team Based on Improved Louvain Algorithm

Liu, Dianting; Huang, Kangzheng; Zhang, Chenguang; Wu, Danling; Wu, Shan

doi:10.1155/2021/3234280

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…Immunity Algorithm (IA) is an algorithm based on the principles of biological immunity for solving complex optimisation problems and can be a good solution for TSP. [3] Immunity Algorithm usually consists of three main parts: antibody generation, antibody evolution, and antibody update. [4] In finding the shortest path for police action, the immune algorithm is based on the following steps [5 : First, the algorithm generates an initial set of antibodies representing different routes.…”

Section: Immunisation Algorithmmentioning

confidence: 99%

Prediction of Electric Load Neural Network Prediction Model for Big Data

Tu,

Ji,

Chen

2023

HSET

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The problem of traffic enforcement scheduling has become one of the key concerns of the government in recent years. How to carry out scientific and efficient speed measurement activities to ensure the safety of road traffic has therefore become the direction of the article's research. The paper selects accident-prone and speeding-prone locations as checkpoints, dividing them into three zones. The optimal speeding check time period is determined to be 18:00-23:00. To increase officers' efficiency, the problem is transformed into a TSP and solved using the Immunity Algorithm. The article defines the degree of safety, based on prior speeding violations, and evaluates the effectiveness of the inspection routes. The persistent effect of the dispatch scheme on local road safety is analyzed, taking an average of 3.67 days for a road to reach a higher risk state. Monte Carlo simulations are used to model vehicle speeding events and officer enforcement, with a final speeding violation detection probability of 0.871.

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Section: Immunisation Algorithmmentioning

confidence: 99%

Prediction of Electric Load Neural Network Prediction Model for Big Data

Tu,

Ji,

Chen

2023

HSET

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“…Louvain algorithm [13] is a modularity-based community detection algorithm that can achieve fast clustering of network nodes, especially for networks with lots of nodes but fewer links. And there are lots of community detection methods [14,15] based on Louvain algorithm. But all the above algorithms could only realize the clusters on graph with its structure, leading to rough aggregation of nodes.…”

Section: Clusters and Communitiesmentioning

confidence: 99%

Understanding User-Level IP Blocks on the Internet

Ren

et al. 2022

Security and Communication Networks

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Generally, the devices on the Internet are identified by IP addresses. The users of IPs are those who use IPs on the Internet and are always different from their registers and operators. Since IPs are used as unique identifiers of devices, knowing users of IPs according to their multisource data is critical for experts to protect the security of the network. At present, there are only few methods to mine the users of IPs from their public data. To make matters worse, the existing methods do not make effective use of a large amount and multisource data, such as certificates, protocol banner, rDNS, location, topology, etc. As a result, the performances of existing methods are largely limited. To tackle this issue, we proposed ULIB, short for “Understanding User-Level IP Blocks on the Internet.” ULIB is based on improved community detection to mine the users for as many blocks of IPs as possible. By analysing comprehensive attributes of IPs, ULIB is able to recognize users effectively. Meanwhile, we evaluated our methodology in the real world and the experiments demonstrated that the accuracy of ULIB is 74.20% and the coverage is 28.90% in a city of China, which outperforms other existing methods.

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