scholarly journals Local community extraction in directed networks

2016 ◽  
Vol 452 ◽  
pp. 258-265 ◽  
Author(s):  
Xuemei Ning ◽  
Zhaoqi Liu ◽  
Shihua Zhang
Author(s):  
Xianchao Zhang ◽  
Liang Wang ◽  
Yueting Li ◽  
Wenxin Liang

To identify global community structures in networks is a great challenge that requires complete information of graphs, which is infeasible for some large networks, e.g. large social networks. Recently, local algorithms have been proposed to extract communities for social networks in nearly linear time, which only require a small part of the graphs. In local community extraction, the community extracting assignments are only done for a certain subset of vertices, i.e., identifying one community at a time. Typically, local community detecting techniques randomly start from a vertex and gradually merge neighboring vertices one-at-a-time by optimizing a measure metric. In this chapter, plenty of popular methods are presented that are designed to obtain a local community for a given graph.


Author(s):  
Selly Veronica ◽  
Nurlisa Ginting ◽  
AmyMarisa

Night tourism development comes up as an innovative strategy for tourism development in this current intense competition. There are four main elements in night tourism, namely economic, social, environmental, and night atmosphere. Berastagi is the most popular tourist destination in Karo Regency, Sumatera Utara, Indonesia, which already have night tourism destination but unfortunately undeveloped yet. Night tourism development in Berastagi must be with the local wisdom approach to maximize its benefit. Karonese as the majority ethnic of the local community in this area potential to be developed on its night tourism. This paper only analyzes the environmental and night atmosphere aspects in Berastagi’s night tourism, which based on local wisdom. Qualitative primary data from field observation and depth interview results have been analyzed by using the descriptive method. The study shows that involving local wisdom in developing the environment and night atmosphere can give the typical identity for the night tourism in Berastagi.Night Tourism


2021 ◽  
Vol 657 ◽  
pp. 59-71
Author(s):  
BA Beckley ◽  
MS Edwards

The forest-forming giant kelp Macrocystis pyrifera and the communities it supports have been decreasing across their native ranges in many parts of the world. The sudden removal of giant kelp canopies by storms increases space and light for the colonization by understory macroalgae, such as Desmarestia herbacea, which can inhibit M. pyrifera recovery and alter local community composition. Understanding the mechanisms by which algae such as D. herbacea interact with M. pyrifera can provide insight into patterns of kelp forest recovery following these disturbances and can aid in predicting future community structure. This study experimentally tested the independent and combined effects of two likely competitive mechanisms by which D. herbacea might inhibit recovery of M. pyrifera in the Point Loma kelp forest in San Diego, California (USA). Specifically, we conducted field experiments to study the individual and combined effects of shade and scour by D. herbacea on the survival of M. pyrifera microscopic life stages, and the recruitment, survival, and growth of its young sporophytes. Our results show that scour had the strongest negative effect on the survival of M. pyrifera microscopic life stages and recruitment, but shade and scour both adversely affected survival and growth of these sporophytes as they grew larger. Canopy-removing storms are increasing in frequency and intensity, and this change could facilitate the rise of understory species, like D. herbacea, which might alter community succession and recovery of kelp forests.


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