A comparison of six major social network analysis software
A comparison of six major social network analysis software
UCINET profile
UCINET for menu-driven Windows program is probably the most well-known and most frequently used social network data comprehensive analysis and other similar data to the program. UCINET bundled together with Panel, Mage and Net Draw three software. UCINET can process raw data in a matrix format, provided extensive data management and conversion tools. The program itself does not include a network of Visual graphics programs, but you can export data and processing results to the Net Draw, Panel, Mage, and Crackpot and another software mapping. UCINET contains subgroups including detection of condensation (cliques and clans, plexus) and regional (components and cores), Center of analysis (centrality), network analysis, network analysis and structural analysis programs. UCINET also contains a large number of process-based analysis program, such as cluster analysis, multidimensional scaling, scale-II model (correspondence analysis and factor analysis and singular value decomposition) analysis, role, and status (structure, roles, and canonical equivalence) and fitting the Center-periphery model. In addition, UCINET provides simple statistics to fit the P1 model, including a variety of statistical procedures.
Panel profile
The panel is a specially designed for handling large datasets of network analysis and visualization program. The panel can handle multiple networks, the network can also handle two-mode networks and time events (time event consists of a network of the passage of time and the network development or evolution). The panel provides longitudinal network analysis tools. Data files can contain instructions in a time marker to the network location of the observation time, and can generate a series of cross-network, these networks can be analyzed and examined the evolution of the network. But the analysis is statistical in nature; if you want the statistical analysis of network evolution, you need to use Stoned SIENA module. The panel can analyze the very large network of more than 1 million nodes. The panel offers a variety of data input, for example, you can file from the network (NET extension) in the network data into ASCII format. Network file contains a list of nodes and arcs/edge (arcs/edges) list, simply specify the links, so as to efficiently enter the large network data. Graphics capabilities are Panel strengths, you can easily resize graphics, and specify the graphic means. Due to the large networks are difficult to display in a view, Panel network structures are also different to be visualized. Each data type has its own method of describing in Panel. The panel provides process-based analysis method includes detecting structure and aggregation (cluster ability), hierarchical decomposition and mass model (structure, canonical equivalence). The panel contains only a small number of basic statistical procedures.
Net Miner profile
Net Miner is a social network analysis and software tools for Visual exploration technologies together. It allows users to probe your network data visualization and interactive way, to identify potential patterns and structures of the network. Net Miner, we proposed an analysis and visualization are combined together and optimize the Internet data types, including three types of variables: adjacency matrix (called), the associated variable and attribute data. Similar to Panel and Net Draw, Net Miner also has advanced graphics features, especially almost all of the results are based on text and graphics presented in two ways. Net Miner network description and analysis method based on the process is also abundant and supports some of the standard statistical procedures in statistics: descriptive statistics, NOVA, correlation, and regression.
Introduction to STRUCTURE
STRUCTURE is a command-driven DOS program needs input file contains commands for data management and analysis. STRUCTURE supports five types of network analysis in a network model: independence (structural analysis), cohesion (identifying the faction), diffusion, and reciprocity (equivalence analysis of structure or role model and analysis) and power (network-eccentric and homogeneous analysis). STRUCTURE most of the analysis provided is unique and not found in other software.
Introduction to Multi-unit
The multi-unit is a large and sparse network data analysis program. Because of Multi-unit is designed specifically for the analysis of large networks, such as Panel, data input using the list of nodes and links, instead of the adjacency matrix. Almost all output produced for analytical procedures results can be graphically shown. The multi-unit can calculate the degree and between sets, closeness and components statistic, as well as the frequency distribution of the statistic. By Multi-unit, Eugen-space can be used in several (Eugen space) method to analyze the structure of the network. Multi-unit contains four statistical techniques: cross tab and Chi-square, NOVA, correlation and p* exponential random graph model.
Introduction to Stoned
Stoned is a system of open software in the WINDOWS environment, suitable for advanced statistical analysis of social networks. It provides a platform for a variety of statistical methods, each method can be easily embedded in a separate module. Stoned contains six a statistics module: (1) BLOCKS, random block model; (2) ULTRAS, using Super metric (Ultra metrics) estimated potential of passed sex structure (latent transitive structures); (3) P2, intends collection index random figure P2 model; (4) SIENNA, longitudinal network data of analysis; (5) OZ, determine random figure statistics volume of distribution probability; (6) PACKET , Constructing and fitting structure model based on algebraic structures (structural models based on partial algebraic structures).
A comparison of six major social network analysis software
Compiled from the following: Heisman, m. and A.J. Deign, m. 2005. Software for social network analysis. Models and methods in social network analysis. New York, N.Y.: Cambridge University Press. 270-316.
UCINET profile
UCINET for menu-driven Windows program is probably the most well-known and most frequently used social network data comprehensive analysis and other similar data to the program. UCINET bundled together with Panel, Mage and Net Draw three software. UCINET can process raw data in a matrix format, provided extensive data management and conversion tools. The program itself does not include a network of Visual graphics programs, but you can export data and processing results to the Net Draw, Panel, Mage, and Crackpot and another software mapping. UCINET contains subgroups including detection of condensation (cliques and clans, plexus) and regional (components and cores), Center of analysis (centrality), network analysis, network analysis and structural analysis programs. UCINET also contains a large number of process-based analysis program, such as cluster analysis, multidimensional scaling, scale-II model (correspondence analysis and factor analysis and singular value decomposition) analysis, role, and status (structure, roles, and canonical equivalence) and fitting the Center-periphery model. In addition, UCINET provides simple statistics to fit the P1 model, including a variety of statistical procedures.
Panel profile
The panel is a specially designed for handling large datasets of network analysis and visualization program. The panel can handle multiple networks, the network can also handle two-mode networks and time events (time event consists of a network of the passage of time and the network development or evolution). The panel provides longitudinal network analysis tools. Data files can contain instructions in a time marker to the network location of the observation time, and can generate a series of cross-network, these networks can be analyzed and examined the evolution of the network. But the analysis is statistical in nature; if you want the statistical analysis of network evolution, you need to use Stoned SIENA module. The panel can analyze the very large network of more than 1 million nodes. The panel offers a variety of data input, for example, you can file from the network (NET extension) in the network data into ASCII format. Network file contains a list of nodes and arcs/edge (arcs/edges) list, simply specify the links, so as to efficiently enter the large network data. Graphics capabilities are Panel strengths, you can easily resize graphics, and specify the graphic means. Due to the large networks are difficult to display in a view, Panel network structures are also different to be visualized. Each data type has its own method of describing in Panel. The panel provides process-based analysis method includes detecting structure and aggregation (cluster ability), hierarchical decomposition and mass model (structure, canonical equivalence). The panel contains only a small number of basic statistical procedures.
Net Miner profile
Net Miner is a social network analysis and software tools for Visual exploration technologies together. It allows users to probe your network data visualization and interactive way, to identify potential patterns and structures of the network. Net Miner, we proposed an analysis and visualization are combined together and optimize the Internet data types, including three types of variables: adjacency matrix (called), the associated variable and attribute data. Similar to Panel and Net Draw, Net Miner also has advanced graphics features, especially almost all of the results are based on text and graphics presented in two ways. Net Miner network description and analysis method based on the process is also abundant and supports some of the standard statistical procedures in statistics: descriptive statistics, NOVA, correlation, and regression.
Introduction to STRUCTURE
STRUCTURE is a command-driven DOS program needs input file contains commands for data management and analysis. STRUCTURE supports five types of network analysis in a network model: independence (structural analysis), cohesion (identifying the faction), diffusion, and reciprocity (equivalence analysis of structure or role model and analysis) and power (network-eccentric and homogeneous analysis). STRUCTURE most of the analysis provided is unique and not found in other software.
Introduction to Multi-unit
The multi-unit is a large and sparse network data analysis program. Because of Multi-unit is designed specifically for the analysis of large networks, such as Panel, data input using the list of nodes and links, instead of the adjacency matrix. Almost all output produced for analytical procedures results can be graphically shown. The multi-unit can calculate the degree and between sets, closeness and components statistic, as well as the frequency distribution of the statistic. By Multi-unit, Eugen-space can be used in several (Eugen space) method to analyze the structure of the network. Multi-unit contains four statistical techniques: cross tab and Chi-square, NOVA, correlation and p* exponential random graph model.
Introduction to Stoned
Stoned is a system of open software in the WINDOWS environment, suitable for advanced statistical analysis of social networks. It provides a platform for a variety of statistical methods, each method can be easily embedded in a separate module. Stoned contains six a statistics module: (1) BLOCKS, random block model; (2) ULTRAS, using Super metric (Ultra metrics) estimated potential of passed sex structure (latent transitive structures); (3) P2, intends collection index random figure P2 model; (4) SIENNA, longitudinal network data of analysis; (5) OZ, determine random figure statistics volume of distribution probability; (6) PACKET , Constructing and fitting structure model based on algebraic structures (structural models based on partial algebraic structures).
A comparison of six major social network analysis software
Compiled from the following: Heisman, m. and A.J. Deign, m. 2005. Software for social network analysis. Models and methods in social network analysis. New York, N.Y.: Cambridge University Press. 270-316.
A comparison of six major social network analysis software
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