A Geography‐Intimacy‐Based Algorithm for Data Forwarding in Mobile Social Networks

Threat‐Based Declassification and Endorsement for Mobile Computing

“…ω 1 and ω 2 in Eqs. (1) and (2) and the threshold value in Example 3 are open. In the future, we will investigate how to set the parameters for various application scenarios.…”

“…Generally, in mobile computing (e.g., MANET [1] , mobile social networks [2] ), a natural protection against security threats is to enforce data confidentiality and integrity. To achieve this goal, a large number of efforts are spent in both academia and industry, two of which are BLP policy and BiBa policy [3] , where BLP policy guarantees confidentiality, by way of ensuring that information with a lower secrecy level can only flow into the subject/object with the same level or a higher secrecy level.…”

Deep Auto‐encoded Clustering Algorithm for Community Detection in Complex Networks

“…As marked in the dashed lines in Fig.1, an autoencoder can be represented as a combination of an encoder and a decoder. The encoder embeds the original input a (1) into a new dimensional representation a (2) that to the utmost extent maintains the useful information while filtering useless noise. If the subsequent decoder is capable of reconstructing a (1) from a (2) , i.e., if a (3) ≈ a (1) , then we could use a (2) as an approximation of a (1) for further study.…”

“…As a highly attractive research field in the past few decades, complex networks have accelerated development in many scientific branches such as social networks, epidemiology, computer science, transportation, and biology [1,2] . Among the numerous articles pertaining to the diverse properties of complex networks, studies on the community characteristic, i.e., the vertices in networks, are segregated into groups with relatively denser connections inside the communities rather than outside of them, and are gaining particular attention [3,4] .…”