Titlebook: Geo-Spatial Knowledge and Intelligence; 4th International Co Hanning Yuan,Jing Geng,Fuling Bian Conference proceedings 2017 Springer Nature

gustation

A Novel Framework for Analyzing Overlapping Community Evolution in Dynamic Social Networksworld the dynamic networks are in the majority. Therefore lots of researchers turn to study dynamic social networks. One specific area of increased interest in dynamic social networks is that of identifying the critical events. However these proposed algorithms more or less exist some problems. Here

伸展

Developing Mobile Software for Extenics Innovationre to simulate flexibility innovation intelligence, and help people to develop creative ideas, to inspire innovation will become key issues to promote crowd innovation progress. According to Extenics innovation methods, new personal innovation mobile software is developed. A case shows that the Exte

冰河期

Variable Weight Based Clustering Approach for Load Balancing in Wireless Sensor Networksuting, such as residual energy of a sensor, distance between different nodes, and so on, are invariable all the time. In fact, with the running of the network, the relative importance of all factors makes the change. A variable weight based clustering approach (VWCA) is composed in this paper for en

Meditative

MDPRP: Markov Decision Process Based Routing Protocol for Mobile WSNsf best next hop to forward the messages. In this scheme, we mainly integrate trust, congestion and distance as the main judgment criterion of the next hop decision. We evaluate the protocol by simulations and the performance results are encouraging.

無表情

捕鯨魚叉

A Genetic-Algorithm-Based Optimized AODV Routing Protocolue to the mobility of MANET, the performance of routing protocols in many scenarios is not ideal. Based on the consideration of the performance of intermediate nodes, this paper uses genetic algorithm to optimize the routing to find a more suitable route to improve the network performance. The simul

Pandemic

resilience

Link Prediction Based on Precision Optimizationbeen proposed to detect potential or future links in temporal social networks. To evaluate the performance of link prediction methods, precision are usually used to measure the accuracy of the predicting results. This paper proposes an algorithm based on the precision optimization. In the method, pr

restrain

BRAVE

Stock Price Manipulation Detection Based on Machine Learning Technology: Evidence in Chinaing methods to detect the stock price manipulation in China to increase the market fairness and transparency. Based on the information given by China Securities Regulatory Commission, we took the difference of stocks between manipulated time and normal time based on their daily return, trading volum