The Structure and First-Passage Properties of Generalized Weighted Koch Networks
Characterizing the topology and random walk of a random network is difficult because the connections in the network are uncertain. We propose a class of the generalized weighted Koch network by replacing the triangles in the traditional Koch network with
Jing Su, Mingjun Zhang, Bing Yao
doaj +1 more source
Geographic Gossip: Efficient Averaging for Sensor Networks [PDF]
Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments.
D. Sarwate +4 more
core +3 more sources
Contactless medical equipment AI big data risk control and quasi thinking iterative planning
Research Background, the intelligent polymorphic system of heavy core clustering fitting iterative programming is constructed by using the edge lens of dual core heavy core.
Zhu Rongrong
doaj +1 more source
Overlapping community discovery based on graph embedding and label propagation algorithm [PDF]
Traditional label propagation algorithms (LPA) exhibit instability and poor accuracy in community discovery, primarily due to random node selection, uncertain label update sequences, and neglect of node importance variations.
Miaomiao Liu +4 more
doaj +2 more sources
Limitations and tradeoffs in synchronization of large-scale networks with uncertain links [PDF]
We study synchronization in scalar nonlinear systems connected over a linear network with stochastic uncertainty in their interactions. We provide a sufficient condition for the synchronization of such network systems expressed in terms of the parameters
Diwadkar, Amit +2 more
core +4 more sources
Online Influence Maximization (Extended Version) [PDF]
Social networks are commonly used for marketing purposes. For example, free samples of a product can be given to a few influential social network users (or "seed nodes"), with the hope that they will convince their friends to buy it. One way to formalize
Cheng, Reynold +4 more
core +1 more source
The Advantage of Evidential Attributes in Social Networks [PDF]
Nowadays, there are many approaches designed for the task of detecting communities in social networks. Among them, some methods only consider the topological graph structure, while others take use of both the graph structure and the node attributes.
adar +7 more
core +3 more sources
Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards
Constructing a knowledge graph of geological hazards literature can facilitate the reuse of geological hazards literature and provide a reference for geological hazard governance.
Runyu Fan +5 more
doaj +1 more source
A probabilistic paradigm for handling uncertain objects in GIS by randomized graph algebra *
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shi, Wenzhong, Wu, Huayi
openaire +1 more source
Integrating and Ranking Uncertain Scientific Data [PDF]
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly lead to spurious connections and incorrect results.
Detwiler, Landon T +4 more
core +6 more sources

