scholarly journals The transition towards a bio-based economy: A comparative study based on social network analysis

2019 ◽  
Vol 230 ◽  
pp. 255-265 ◽  
Author(s):  
Enrica Imbert ◽  
Luana Ladu ◽  
Almona Tani ◽  
Piergiuseppe Morone
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Comparative Study

scholarly journals Social network analysis and the implications for Pontocaspian biodiversity conservation in Romania and Ukraine: A comparative study

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0221833
Author(s):  
Aleksandre Gogaladze ◽  
Niels Raes ◽  
Jacobus C. Biesmeijer ◽  
Camelia Ionescu ◽  
Ana-Bianca Pavel ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Comparative Study ◽  
Biodiversity Conservation

EXPLORATORY ANALYSIS ON THE DIFFERENT MODELS AND APPROACHES FOR SOCIAL NETWORK ANALYSIS

2021 ◽  
Vol 12 (1) ◽  
pp. 706-711
Author(s):  
Mansi Singh ◽  
Chandni Deb ◽  
Ashna Prasad ◽  
Naveen Renji
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Comparative Study ◽  
Exploratory Analysis ◽  
General Activity ◽  
The Comparative Study

The following paper consists of an overall comparative study of Social Network Analysis. The comparative study provides detailed information and is carried out based on the different models approached for Social Network Analysis. Social network analysis is a method capable of monitoring the interactions in an online environment.SNA can be used to reveal important information about the sentiments of different actors, such as the general activity and the active groups.

Graph Tools for Social Network Analysis

2018 ◽  
pp. 18-33 ◽  
Author(s):  
Nadeem Akhtar ◽  
Mohd Vasim Ahamad
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Comparative Study ◽  
General Graph ◽  
Network Mining ◽  
Social Network Mining ◽  
Time Graph ◽  
The Social

A social network can be defined as a complex graph, which is a collection of nodes connected via edges. Nodes represent individual actors or people in the network, whereas edges define relationships among those actors. Most popular social networks are Facebook, Twitter, and Google+. To analyze these social networks, one needs specialized tools for analysis. This chapter presents a comparative study of such tools based on the general graph aspects as well as the social network mining aspects. While considering the general graph aspects, this chapter presents a comparative study of four social network analysis tools—NetworkX, Gephi, Pajek, and IGraph—based on the platform, execution time, graph types, algorithm complexity, input file format, and graph features. On the basis of the social network mining aspects, the chapter provides a comparative study on five specialized tools—Weka, NetMiner 4, RapidMiner, KNIME, and R—with respect to the supported mining tasks, main functionality, acceptable input formats, output formats, and platform used.

Graph Tools for Social Network Analysis

2021 ◽  
pp. 485-500
Author(s):  
Nadeem Akhtar ◽  
Mohd Vasim Ahamad
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Comparative Study ◽  
General Graph ◽  
Network Mining ◽  
Social Network Mining ◽  
Time Graph ◽  
The Social

A social network can be defined as a complex graph, which is a collection of nodes connected via edges. Nodes represent individual actors or people in the network, whereas edges define relationships among those actors. Most popular social networks are Facebook, Twitter, and Google+. To analyze these social networks, one needs specialized tools for analysis. This chapter presents a comparative study of such tools based on the general graph aspects as well as the social network mining aspects. While considering the general graph aspects, this chapter presents a comparative study of four social network analysis tools—NetworkX, Gephi, Pajek, and IGraph—based on the platform, execution time, graph types, algorithm complexity, input file format, and graph features. On the basis of the social network mining aspects, the chapter provides a comparative study on five specialized tools—Weka, NetMiner 4, RapidMiner, KNIME, and R—with respect to the supported mining tasks, main functionality, acceptable input formats, output formats, and platform used.

Ikenet: Social network analysis of e-mail traffic in the Eisenhower Leadership Development Program

2007 ◽  
Author(s):  
Ian McCulloh ◽  
Grace Garcia ◽  
Kelsey Tardieu ◽  
Jennifer MacGibbon ◽  
Heather Dye ◽  
...  
Keyword(s):  
Social Network ◽  
Leadership Development ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Development Program ◽  
Leadership Development Program ◽  
E Mail
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