scholarly journals Ординація та сітьовий аналіз угруповань павуків

2010 ◽  
Vol 1 (1) ◽  
pp. 71-77
Author(s):  
O. M. Kunakh
Keyword(s):  
Community Structure ◽  
Community Analysis ◽  
Community Formation ◽  
Network Approach ◽  
Network Representation ◽  
Structure Description ◽  
Animal Community ◽  
Network Approaches

The network approach is proposed to study the animal community with herpetobiont spiders of Dnipropetrovsk region as an example. The network representation is an alternative of an ordination paradigm in community structure description. The advantages of the network approaches in animal community analysis are shown. The possible directions of the herpetobiont spiders community formation of the steepe zone ofUkraine have been found. The effect of the forests on the steepe animals community is shown.

scholarly journals Shrub density effects on the community structure and composition of a desert animal community

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Mario Zuliani ◽  
Nargol Ghazian ◽  
Christopher J. Lortie
Keyword(s):  
Community Structure ◽  
Density Effects ◽  
Animal Community

scholarly journals Visualizations of personal social networks on Facebook and community structure: an exploratory study

2017 ◽  
Author(s):  
Christina Gkini ◽  
Alexios Brailas
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Single Point ◽  
Community Formation ◽  
Structure Pattern ◽  
Diffusion Of Information ◽  
Qualitative Interpretation ◽  
Network Topologies ◽  
Personal Social Networks ◽  
And Diffusion

We studied the community structure pattern in the visualizations of ten personal social networks on Facebook at a single point in time. It seems to be a strong tendency towards community formation in online personal, social networks: somebody’s friends are usually also friends between them, forming subgroups of more densely connected nodes. Research on community structure in social networks usually focuses on the networks’ statistical properties. There is a need for qualitative studies bridging the gap between network topologies and their sociological implications. To this direction, visual representations of personal networks in social media could be a valuable source of empirical data for qualitative interpretation. Most of the personal social networks’ visualizations in the present study are very highly clustered with densely-knit overlapping subgroups of friends and interconnected between them through wide bridges. This network topology pattern seems to be quite efficient, allowing for a fast spread and diffusion of information across the whole social network.

scholarly journals Comparing Discourse and Policy Network Approaches: Evidence from Water Policy on Micropollutants

2020 ◽  
Vol 8 (2) ◽  
pp. 184-199 ◽  
Author(s):  
Simon Schaub ◽  
Florence Metz
Keyword(s):  
Survey Data ◽  
Water Policy ◽  
Policy Networks ◽  
Data Sources ◽  
Policy Preferences ◽  
Policy Network ◽  
Network Approach ◽  
Coalition Structures ◽  
Network Approaches ◽  
Policy Proposals

To understand how actors make collective policy decisions, scholars use policy and discourse network approaches to analyze interdependencies among actors. While policy networks often build on survey data, discourse networks typically use media data to capture the beliefs or policy preferences shared by actors. One of the reasons for the variety of data sources is that discourse data can be more accessible to researchers than survey data (or vice versa). In order to make an informed decision on valid data sources, researchers need to understand how differences in data sources may affect results. As this remains largely unexplored, we analyze the differences and similarities between policy and discourse networks. We systematically compare policy networks with discourse networks in respect of the types of actors participating in them, the policy proposals actors advocate and their coalition structures. For the policy field of micropollutants in surface waters in Germany, we observe only small differences between the results obtained using the policy and discourse network approaches. We find that the discourse network approach particularly emphasizes certain actor types, i.e., expanders who seek to change the policy status quo. The policy network approach particularly reflects electoral interests, since preferences for policies targeting voters are less visible. Finally, different observation periods reveal some smaller differences in the coalition structures within the discourse network. Beyond these small differences, both approaches come to largely congruent results with regards to actor types, policy preferences and coalition structures. In our case, the use of discourse and policy network approaches lead to similar conclusions regarding the study of policy processes.

scholarly journals Network Approaches to Representing and Understanding Personality Dynamics

2019 ◽  
Author(s):  
Emorie D Beck ◽  
Joshua James Jackson
Keyword(s):  
Dynamic Systems ◽  
Future Research ◽  
Personality Structure ◽  
Dynamic Systems Theory ◽  
Network Approach ◽  
Structure And Dynamics ◽  
Idiographic Approach ◽  
History Of ◽  
Nomothetic Approach ◽  
Network Approaches

From its emergence at the beginning of the 20th century, personality scientists pursued two goals – a nomothetic approach that investigated the structure of individual differences between people in a population and an idiographic approach that explored variation within a person relative to him or herself. Implicit in both was an assumption that dynamic processes underlay the emergence of personality within and across people, but available methods at the time precluded testing dynamic questions. In this chapter, we first track the how the history of both nomothetic idiographic perspectives impacted the study of personality structure and dynamics. Next, we review findings and unanswered contemporary questions regarding nomothetic and idiographic structure, processes, and dynamics. Finally, we conclude by arguing for an idiographic network approach to understanding personality based in dynamic systems theory. We provide both theoretical questions for future research, some of which were proposed by early personality theorists but progressed slowly due to a lack of adequate methods, as well as cutting-edge techniques for actually testing them. We believe these methods capable of moving the study of personality dynamics – and personality more broadly -- forward.

How a network approach has advanced the field of plant invasion ecology.

2020 ◽  
pp. 324-339
Author(s):  
Carine Emer ◽  
◽  
Sérgio Timóteo ◽  
◽  
Keyword(s):  
Species Interactions ◽  
Plant Invasion ◽  
Native Species ◽  
Invasion Biology ◽  
Plant Invasions ◽  
Network Approach ◽  
Native Plant Species ◽  
Functional Roles ◽  
Network Approaches ◽  
Plant Herbivore

Every organism on Earth, whether in natural or anthropogenic environments, is connected to a complex web of life, the famous 'entangled bank' coined by Darwin in 1859. Non-native species can integrate into local 'banks' by establishing novel associations with the resident species. In that context, network ecology has been an important tool to study the interactions of non-native species and the effects on recipient communities due to its ability to simultaneously investigate the assembly and disassembly of species interactions as well as their functional roles. Its visually appealing tools and relatively simple metrics gained momentum among scientists and are increasingly applied in different areas of ecology, from the more theoretical grounds to applied research on restoration and conservation. A network approach helps us to understand how plant invasions may or may not form novel species associations, how they change the structure of invaded communities, the outcomes for ecosystem functionality and, ultimately, the implications for the conservation of ecological interactions. Networks have been widely used on pollination studies, especially from temperate zones, unveiling their nested patterns and the mechanisms by which non-native plants integrate into local communities. Yet, very few papers have used network approaches to assess plant invasion effects in other systems such as plant-herbivore, plant-pathogen or seed-dispersal processes. Here we describe how joining network ecology with plant invasion biology started and how it has developed over the last few decades. We show the extent of its contribution, despite contradictory results and biases, to a better understanding of the role of non-native plant species in shaping community structure. Finally, we explore how it can be further improved to answer emerging questions.

scholarly journals Network Representation Learning Guided by Partial Community Structure

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 46665-46681
Author(s):  
Hanlin Sun ◽  
Wei Jie ◽  
Zhongmin Wang ◽  
Hai Wang ◽  
Sugang Ma
Keyword(s):  
Community Structure ◽  
Representation Learning ◽  
Network Representation

Study on the relationship between animal community structure and cave environment factors in the Da and Xia caves of the Songtao manganese mine, Guizhou

2018 ◽  
Vol 38 (10) ◽  
Author(s):  
温清 WEN Qing ◽  
杨卫诚 YANG Weicheng ◽  
陶红梅 TAO Hongmei ◽  
周旭林 ZHOU Xulin ◽  
余源婵 YU Yuanchan
Keyword(s):  
Community Structure ◽  
Environment Factors ◽  
Cave Environment ◽  
Animal Community ◽  
The Relationship

Interspecific information transfer influences animal community structure

2010 ◽  
Vol 25 (6) ◽  
pp. 354-361 ◽  
Author(s):  
Eben Goodale ◽  
Guy Beauchamp ◽  
Robert D. Magrath ◽  
James C. Nieh ◽  
Graeme D. Ruxton
Keyword(s):  
Community Structure ◽  
Information Transfer ◽  
Animal Community

scholarly journals Community Structure of Subsurface Biofilms in the Thermal Sulfidic Caves of Acquasanta Terme, Italy

2010 ◽  
Vol 76 (17) ◽  
pp. 5902-5910 ◽  
Author(s):  
D. S. Jones ◽  
D. J. Tobler ◽  
I. Schaperdoth ◽  
M. Mainiero ◽  
J. L. Macalady
Keyword(s):  
Community Structure ◽  
16S Rrna ◽  
Specific Conductivity ◽  
Ground Surface ◽  
Community Analysis ◽  
Microbial Community Analysis ◽  
Rrna Gene ◽  
Sulfate Reducing ◽  
Ecological Success ◽  
Cave Waters

ABSTRACT We performed a microbial community analysis of biofilms inhabiting thermal (35 to 50°C) waters more than 60 m below the ground surface near Acquasanta Terme, Italy. The groundwater hosting the biofilms has 400 to 830 μM sulfide, <10 μM O2, pH of 6.3 to 6.7, and specific conductivity of 8,500 to 10,500 μS/cm. Based on the results of 16S rRNA gene cloning and fluorescent in situ hybridization (FISH), the biofilms have low species richness, and lithoautotrophic (or possibly mixotrophic) Gamma- and Epsilonproteobacteria are the principle biofilm architects. Deltaproteobacteria sequences retrieved from the biofilms have <90% 16S rRNA similarity to their closest relatives in public databases and may represent novel sulfate-reducing bacteria. The Acquasanta biofilms share few species in common with Frasassi cave biofilms (13°C, 80 km distant) but have a similar community structure, with representatives in the same major clades. The ecological success of Sulfurovumales-group Epsilonproteobacteria in the Acquasanta biofilms is consistent with previous observations of their dominance in sulfidic cave waters with turbulent water flow and high dissolved sulfide/oxygen ratios.

Sign in / Sign up

Export Citation Format

Share Document