[PDF] Top 20 Research on Multi label Propagation Algorithm for Community Detection Based on Weibo

... The research of community structure includes both overlapping and non-overlapping community detection, in which the latter one is more ...GN algorithm in 2002. Later, based on ... See full document

... modularity-specialized algorithm (LPAm) to constrain the label propagation process ...Their algorithm is near-linear time, but it may get stuck in poor local maxima in the modularity ... See full document

... accurate community partition for each graph, SLPA was run with a varying iterations parameter from five to ...for label propagation based on their ranking from the selected centrality function ... See full document

... localized community detection algorithm [5] based on label ...unique label and at every iteration step of the algorithm each node adopts a label that a maximum ... See full document

... contain community structures and community mining has seen long-term growth in recent ...Nowadays, community mining has been applied to many fields of research, such as the microblogging ... See full document

... Based on this, Steve proposed an algorithm for finding overlapping community structure in very large networks, named COPRA[18] Community Overlap Propagation Algorithm.. In addition, this[r] ... See full document

... agent based community detection algorithms, and can also be viewed as a simple opinion spreading model but with many competing opinions ...single label can quickly become dominant in a densely ... See full document

... its community, future versions will yield improved ...pragmatic label system with the existing index in a one-time ...of research will be better blunder detection methods for retrieving ... See full document

... etc, based on their interest, likes ...the community structure is an essential task in social network ...Walk Label Pr opagation algorithm and PageRank algorithm to define d best ... See full document

... Speaker-Lister Label Propagation Algorithm (SLPA) (Xie et ...is based on an information dynamic rule: for each node, its neighbors select one label from their memory according to a ... See full document

... edge detection techniques-Sobel edge detection and Fuzzy logic based edge detection has been ...Genetic Algorithm has been applied to optimize the ellipse characteristics of the eye ... See full document

... Involvement multi-agent increases the complexity of the system and the time consumption for each event is increased due to multiple agents in the ...cyberbullying detection in which the predator’s message ... See full document

... under multi-mode GNSS systems, if the traditional PPP fusion algorithm is used, all the GNSS observations are unified to form the observation equation for unified solution, and the com- putational load is ... See full document

... utilized two cascade classifiers depends on quantifiable and Haar highlights to decrease the complexity of the system and to create strides the disclosure rate of the system. In any case, this methodology will take much ... See full document

... A demonstration of TLBO and ITLBO algorithms on Rastrigin function was given by Rao and Patel (2014) as Appendix A in their paper. Readers can make use of the demonstration to develop their own code suiting to their ... See full document

... model- based approaches to geolocation, based on the as- sumption that words are generated from hidden topics and geographical ...kernel- based methods to smooth linguistic features over very small ... See full document

... Engines are essential to the aircraft, and the rotor system is the key component of the engine. The rotor system usually works in difficult environments with multiple coupling fields, which include high temperatures, ... See full document

... model based on TensorFlow depth learning framework and regularized logical regression algorithm to detect Sina Weibo water army ...army detection model is obtained by the method introduced in ... See full document

... Support Vector Machine (SVM) is one of the most widely used classification methods in WSN. It has pecu- liar advantages in small sample, high dimension pattern recognition and nonlinear problems [2]. But the tradi- ... See full document

... We divide the nodes in the network with community structure into the central node of the community and the peripheral node around the central node of the community. Thus, our problem is which nodes ... See full document