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Social Network Analysis Software Mac

Social networks can be defined as general social systems that allow individuals to communicate and interact with each other. Recently, we have been living in a hype created by the mass media about the different kinds of social networks. For instance, Facebook, Twitter, LinkedIn and many more are among these kind of networks that are trying to gain popularity these days.

Social Network Analysis Software Mac


One of the biggest social networks in use today is Twitter. Observe what fascinates you. Listen to what people are saying. Join the discussion. Look at the current events taking place in the world. We think that genuine change begins with dialogue. Your opinion is important here. Come as you are, and let’s work together to advance the public discourse by doing what’s right, not what’s convenient.


You may chat openly on WeChat whether you wish to send messages or share photographs and videos. WeChat allows you to instantly connect with the people you care about wherever you are. Via a WeChat ID or cell phone, you can easily search for and add friends. Once your friend request has been approved, you can start chatting. You may use Moments to show your friends the highlights of your life through images or videos, and you can also view other people’s Moments at any time. Share on Moments, please! Use WeChat to rapidly connect with your friends and family in person. You can call a single buddy or a group of friends for free using WeChat, regardless of where you are.


The finest social network script for building a specialized community or social network is mooSocial. It has a ton of features, is quite customizable, and can be expanded with several high-quality add-ons. mooSocial is readily available via mobile web or Android and iOS apps and is prepared for mobile use. Create your community website quickly and easily, even without programming or design knowledge. Many other forms of revenue generation are supported by MooSocial, including advertising placement services, ad-free memberships, and exclusive access rights. Our publishable mobile apps will put your community at your customers’ fingertips and provide you a brand-new method to interact with your members. With premium plugins and themes created by the same team, you can effortlessly and affordably grow your social network. Most plugins are mobile-compatible.


Planable is a tool for social media teams at businesses or agencies to collaborate. They can visualize and arrange content in a single location with its assistance, which expedites creation and improves approvals. The feedback hasn’t changed since Google Docs were created. To maintain effective communication and solid partnerships, we overhauled the procedure with agencies and brands in mind. Team members, customers, stakeholders, and business units may simply provide input and approve material while visualizing it as if it had already gone live. You get exactly what you see. The content is then published without any changes, typos, or other errors. No copying and pasting.


The most popular PHP social network script, WoWonder, enables you to launch your own social networking website. Through the admin panel, you may alter any parameter or change any color. Fasten up your website by enabling the Powerful Cache technology. The website can support more than 1 million users thanks to its safe infrastructure. Utilize Amazon S3 to upload pictures and movies to the cloud from a distance. We have a strong commitment to using cutting-edge technology that offer great security. WoWonder is completely mobile responsive and is built on the well-known Bootstrap framework. From our comprehensive management control panel, you can manage your site’s content, users, posts, pages, groups, settings, and website styling as well.


Free social intranet software called Bitrix24 is accessible both on-premises and in the cloud. When utilized by small teams, it is completely free. Over 30 free intranet tools, open source code, mobile apps, APIs, content management systems, social and traditional interfaces, and connections for Active Directory, SharePoint lists, Outlook, and MS Exchange are all included with Bitrix24. Plans with unlimited users are available.


Trello lets your marketing teams accomplish more tasks, from organizing a launch to creating editorial calendar content to creating meeting agendas and all in between. Trello is the command center that integrates all of your tasks and tools, displaying progress updates, deadlines, and enabling instant team communication. Attach documents and tickets from other programs, such as Google Docs and Salesforce, to keep everything organized. Maintain flawless launches and coordination across your marketing team

Marketing organizations can create unique dashboards on’s open platform to handle social media more effectively than before. Discuss fresh concepts and distribute tasks among various coworkers. On timeline views, schedule content for publication. Then import data to enable KPI analysis in a single, handy location. In the end, offers you everything your team members need to see to perform at their best with drag-and-drop columns that you can personalize.


A cloud-based mobile learning app for organizations is called Opentute. You can quickly design and share online courses with your workers and clients using our intuitive Learning Management System (LMS). Create a personalized eLearning portal with Newsfeed, IM, Chat, Groups, Channels, e-mail broadcasts, and, most crucially, interesting online courses with quizzes, videos, slides, and SCORM modules that are accessible on desktop and mobile devices. Google, LinkedIn, Facebook, Stripe, Survey Monkey, Arlo, and Zapier are all linked with Opentute.

Zoho Social

The needs of expanding businesses—those that are beginning to take social media marketing seriously—were taken into consideration when Zoho Social was developed. We created the solution to make it easier for you to increase your social media presence without having to worry about setup, training, variable costs, etc. We are making a lot of effort to maintain simplicity and provide good value. You may start right away and comprehend it in no time.


Using PublBox, a strong, straightforward, all-in-one social media management platform, small business owners can save time, cut costs associated with social media marketing, boost productivity, and improve business outcomes. For any budget and any purpose, PublBox offers scalable and cheap plans. Features of our very user-friendly products include: Using a social media scheduler, you may automatically post content to all social media networks at predetermined times. With little to no design experience, Social Media Graphics Designer enables users to quickly create stunning visuals. 2.5 million unrestricted images and videos Fresh content can be shared instantly to all social network apps with the help of an automated content integration tool. Social media analytics offers practical advice on how to improve company outcomes. PublBox is a fantastic app.

Best Social Network Analysis Software

For social network analysis, there are many different free programs accessible. We’ve hand-picked the best social network analysis tools for your consideration. Most of these tools are open source and free to use.


Franz is the creator of AllegroGraph, a commercially available proprietary product. It employs a number of different programming languages, including Java, Python, Common Lisp, JavaScript, Prolog, C#, Clojure, Perl, and Ruby. The triples are kept in an AllegroGraph database. As well as managing information, it can be used to store and retrieve documents. Scalable AllegroGraph. Input and output formats in this case are both RDF (Resource Description Framework). With the aid of artificial intelligence, AllegroGraph, which employs ACID properties, may be utilized to graph neural networks. Windows, Linux, and Mac platforms all support AllegroGraph.

2. AutoMap

AutoMap is a visualization tool that shows the words in a text by using pictures. It makes the visualization using voice tagging. It employs proximity analysis to build the network graph of the words in a text. Proximity analysis provides the range in which the word or object is present as well as the distance between any two things. Network connections are made by AutoMap, and typically, these connections are made using proximity analysis. The output is a.csv file, and the input is a text document. Only Windows is supported by AutoMap. It has a commercial application. The main audience is students.

3. Gephi

A 3D visualization tool for network data is called Gephi. It is a visualisation tool that is interactive. Gephi is a Java application that runs on the NetBeans platform. Based on the centrality metric, the graph is generated. The number of degrees a node has is its centrality. The use of Gephi is free. It is a quick piece of interactive visualization software. On Linux, Mac, and Windows, Gephi functions. The output formats are.gdf,.png, and.svg, while the input formats include.gml,.gdf,.csv, etc. Gephi uses Java and OpenGL as its programming languages.

4. GraphMatcher

A program used for network analysis is GraphMatcher. Python is the programming language that it employs. For aligning two or more graphs, use GraphMatcher. Both directed and undirected graphs are possible. GraphML serves both the input and output formats. GraphMatcher is compatible with a number of systems, including Windows, MAC, and Linux. Java must also be set up on the computer. Use of GraphMatcher is cost-free.

5. Graph-tool

The graph is seen using the Graph-tool. It is a module for Python. Its programming languages are Python and C++. Tiago P. Peixoto is the one who created it. Its fundamental algorithms and data structures are all implemented in C++. The input is in GraphML format. The output is in the.bmp,.jpeg,.png formats. On Linux and Mac, Graph-tool is functional. For quick performance, its core was created in C++. The performance of multi-core designs is primarily enhanced by Open Multi-Processing, which Graph-tool enables. Both directed and undirected graphs can be created and modified with Graph-tool.

6. Graphviz

Simply said, Graphviz is a collection of open-source tools created by AT&T Labs. It is used to draw graphs that are primarily specified in scripts written in the DOT language. It is free to use Graphviz. The Eclipse Public License governs its licensing. The visualization tool for social networks is called Graphviz. It creates digraphs using straightforward text. GraphViz is the input format (.). The output formats include.bmp,.jpeg,.png, and.svg. On Linux, Mac, and Windows, Graphviz functions. Graphviz is a free software program that was created in C.

7. NodeXL

Microsoft Excel is used with the social network visualization tool NodeXL. It is one of the most well-liked packages. The Social Media Research Foundation developed it, and the Microsoft Public License governs its use. It’s written in C#, a computer language. One of the visualization tools for network analysis is NodeXL. It determines a directed graph’s corset and adds it to Excel as a chart. The input file types include.csv,.txt,.xls, etc. The output is in the.csv,.txt,.cls, etc. formats. NodeXL is free software that runs on Windows.

8. NetMiner

All that NetMiner is is a piece of application software. It is mostly utilized for social network analysis, which calls for the presentation of huge amounts of network-based data. It was made public in 2001. Java is the programming language used by NetMiner. The main purpose of NetMiner is to visualize huge data networks. Software with a free trial is what it is. Working on Windows is NetMiner. The file types for the input and output are.xls,.xlsz,.csv, etc.

9. NetworkX

Python is the programming language used by NetworkX, a Python library. It is mostly employed for researching graphs and networks. It is distributed under a BSD license and is free and open-source. The main use of NetworkX is the investigation of whole networks. It is installable and workable with Anaconda. Another tool for constructing, studying, altering, and visualizing the graph is NetworkX. Python may be used to process graphs using NetworkX. It produces a 2D or 3D version of the graph. NetworkX is a free software program. GML is used as both the input and output format.

10. R

There are numerous well-known packages for the R language that are useful for social network analysis. The igraph package in R can also be used for social network analysis. It aids in the SNA’s painless deployment. Here, large graphs with a great number of vertices can be handled with ease. R, Rdata, RDS, and RDA are the file extensions for the input and output.

Social Network Analysis Software Free


Most effective for: Examining online interactions with significant online communities

With the help of publicly accessible social media posts, Netlytic, a cloud-based social network analyzer, can automatically summarize textual data and identify communication networks.

It gathers posts from YouTube, Twitter, and RSS feeds using APIs. Existing datasets from Google Sheets or text/csv files can also be uploaded.

Key Features 

  • Discovers popular topics or hot discussions
    Maps geo-coded social media data
    Allows you to conduct social science research on online communities

Overall, the platform can help you find and visualize who is talking to whom within a community, how they are talking about, how often they are communicating, how they actually feel about the topic they are discussing, and the behavior and strength of their interactions with each other.


The best method for: studying large networks with more than 10 million nodes and 100 million edges

A Python library called NetworkX is used to build and examine the dynamics and structure of complicated networks. It is a framework for social network analysis that is relatively scalable, portable, and reasonably effective.

For many purposes, NetworkX offers a standard programming interface and a graph implementation. Computer scientists, physicists, mathematicians, and social scientists are the main users.

Key Features 

  • Includes many standard graph algorithms
  • Network structure and analysis measures
  • Construct random graphs and synthetic networks

This tool makes it easy to draw networks in 2D and 3D, and find subgraphs, cliques, and k-cores. You can also explore degree, center, betweenness, radius, diameter, adjacency, etc.


Best for: Constructing sophisticated analyses and models on large datasets

You can combine complex networks with many different forms of attribute data using Cytoscape to display them. You can import network and annotator data by directly connecting it to external public databases.

Despite being created initially for biological research, Cytoscape has evolved into a common platform for complicated network analysis and visualization. There are several plugins available for a variety of issue domains, including bioinformatics, social network analysis, and semantic web.

Key Features

  • Zoom in/out and pan to browse the network
  • Filter the network to select subsets of nodes and/or interactions
  • Export your networks as JSON files

This tool allows you to customize network data display the way you want. Expression data can be mapped to node color, border color, or border thickness, etc., based on user-configurable colors and visualization schemes.


Best for: Discovering relational and structural patterns in data that describe entities and relationships

A labeled, directed graph is used by Subdue, a graph-based knowledge discovery system, to describe data. This graph, like all others, has vertices and edges that stand in for various things and relationships.

Subdue can carry out various learning tasks, ranging from clustering and graph grammar learning to supervised and unsupervised learning,

Key Features 

  • Discovers repetitive and interesting patterns within a graph
  • Finds discriminating patterns from a set of classified graphs
  • Identifies both exact and inexact (isomorphic) substructures within a graph

Apart from social network analysis, it has been successfully applied in a number of fields, including anomaly detection, CAD circuit analysis, protein structure analysis, and DNA gene transcription sites. 


Best for: Implementing various graph layout types

Data can be visualized as simple diagrams using the open-source platform Graphviz. In many different industries, particularly engineering, these diagrams can be useful.

The DOT language, a graph description language, is a component of Graphviz. The platform offers a few tools for processing and creating DOT files. For instance, “Dott” provides a graphical user interface for viewing and editing graphs.

Key Features 

  • Offers numerous libraries and tools, including those for utility, graphics, and drawing
  • Unique ability to connect several graphs by creating nodes and edges
    Saves diagrams in common formats such as images and SVG for web pages

It also has several useful options to create or edit graphs, such as tabular node layouts, hyperlinks, color, fonts, line styles, custom shapes, etc.


Ideal for: Confirmatory and exploratory study of large-scale network data

You may visually and interactively study complex network data using NetMiner. You can use it to study up to 5000 nodes and find the network’s hidden patterns and structures.

There are a few extensions for NetMiner that increase its functionality and aid in your study. For instance, NetMiner SNS Data Collector collects information from YouTube, Twitter, Facebook, and Instagram to analyze popular opinion. Biblio Data Collector makes it simple to complete difficult, time-consuming activities.

Key Features 

  • Comprehensive network measures and models
  • Pre-designed statistical procedures and charts
  • What-if network analysis

A dataset containing numerous data elements is contained in the NetMiner data structure. Each of these things serves as the fundamental analytical unit. The main node set, subnode set, one-mode network, and two-mode network are all included in the data items. The dataset is used for all analysis and visualization. The project-managed basic data file is saved with the filename extension NMF (NetfMiner File).

The software has a 14-day trial period even if it is not entirely free.


Best for: Discovering the hottest, most popular Twitter conversations.

A social media analytics software called SocioViz is made for online journalists, social scientists, and media marketers.

They may quickly examine any term, subject, hashtag, or fan page with its assistance. Additionally, it automatically gathers global trends.

The platform identifies key influencers and their opinions. You can use this feature to hear what people are saying about your brand and competitors.

Key Features 

  • Search any keyword or hashtag and filter results by data and language
  • Collect posts in real-time or search one week in the past
  • Identify most relevant actors and contents in online conversations

The data can be exported in three different formats: PNG, GML, and GEXF (Graph Exchange XML Format).


Best for: Increasing the understanding of network phenomena by network scientists and engineers

An open-source toolkit called NetworkKit can analyze networks with a thousand to several billion edges.

It makes use of multicore architectures by parallelizing the implementation of various effective graph algorithms. These methods calculate important network metrics like centrality measures, degree sequences, and clustering coefficients.

Some applications function quite well. For instance, community discovery in a 3.3 billion edge web graph on a 16-core server can be completed in under three minutes.

Key Features

  • Includes community detection algorithms
  • Describes how networks form and evolve specific structural features.
  • Seamlessly integrates with Python libraries for scientific computing and data analysis

That connect two separate modules, NetworkKit provides procedures to convert graph objects to NetworkX. Utilizing the Profiling Module is the most efficient way to acquire a complete view of a network. However, it can make more sense to compute them independently if you are only interested in a tiny fraction.


Most effective for: Managing graph evolution

The dynamics of graphs are the focus of the Java package GraphStream. It provides an easy way to handle and represent complex graphs. Numerous data attributes, including integers, strings, and objects, can be stored in the graph elements.

The graph is defined by GraphStream using “stream of graph events” in addition to nodes and edges. Events are changes to nodes, edges, or any other related components. In this approach, it describes not only a fixed representation but also the full history of how graph elements have changed through time.

Events Found in GraphStream

  • Node/Edge addition/removal
  • Clear graph
  • Graph/node/edge attribute addition or alteration
  • Graph/node/edge attribute removal

The library also has features to display graphs beautifully. The viewer displays nodes in an automatic layout, but you can customize the rendering of elements using a CSS stylesheet.


Best for: Representing, modeling, and mapping complex networks

R programming language is packed with numerous packages relevant for social network analysis:

  • igraph for generic network analysis
  • network for manipulating and displaying network objects
  • sna for performing sociometric analysis
  • tnet for performing analysis of weighted or longitudinal network
  • Bergm for Bayesian analysis for exponential random graph models
  • networksis for simulating bipartite networks with fixed marginals 

Each of the currently available software (that are applicable for social network analysis) has its own features. They may be used to calculate many different specialized properties, including centrality, clustering coefficient, network diameter, density, page level, and many more.

The R programming language makes it very simple to modify, restructure, and apply customized functions since network data are less restricted than typical social science data. The platform is open source and platform-neutral, making it accessible worldwide.


Best for: Drawing a 3D layout of graphs

Pajek is an excellent program for analyzing and visualizing large networks. It has three main goals:

  • Split a large network into smaller ones that can be processed efficiently
  • Provide users with powerful visualization tools
  • Implement a set of efficient (sub-quadratic) algorithms to examine large networks

Pajek allows you to identify clusters in networks, extract and display vertices from the same clusters independently (in-depth local view), reduce vertices inside clusters, and display relationships between clusters (global view).

Some of the fundamental operations include looking for connected components, looking for shortest paths, maximum flow, looking for k-neighbors, centralizing networks, quickly multiplying sparse networks, and creating various kinds of random networks.

Pajek supports two-mode networks (bipartite graphs) in addition to common (directed, undirected, and mixed) networks and temporal networks (dynamic graphs).

Pajek has been employed thus far in a variety of research fields, including social network analysis, biomedical and genetic research (protein-receptor interaction networks), genealogy, and data mining (2-mode networks).


Creating social data connectors to map communication between organizations and small-world networks is the best use of social data.

Users interact with representations, change the structures, shapes, and colors to uncover hidden patterns in Gephi, which is similar to Photoshop except for graph data. A 3D render engine is used by this open-source program to display graphs in real-time and hasten exploration.

It is specifically made to help data scientists and analysts form hypotheses, identify patterns, and pinpoint structural singularities or flaws in data collection.

Key Features

  • Real time visualization for networks up to 100,000 nodes and 1,000,000 edges
  • Includes state-of-the-art algorithms layout algorithms
  • Allows you to create complex filter queries without scripting

In addition to conventional network analysis, Gephi has been used in various research projects in journalism and academia. For example, it has been used to represent patterns of biological data, examine Twitter network traffic during social unrest, and visualize the global connectivity of New York Times content.

Social Network Analysis and Visualization Tools


While there are various libraries for social network analysis, R is a general-purpose analytics tool. The names of these are degreenet, RSeina, PAFit, igraph, sna network, tnet, ergm, Bergm, hergm, latentnet, and networksis. Each offers specialized functionality and is a valuable collection of information for those who are familiar with R.

SocNetV (Social Networks Visualizer)

A cross-platform, user-friendly program for social network analysis and visualization is called SocNetV (Social Networks Visualizer). It enables you to load networks in a variety of formats or create networks (mathematical graphs) on a virtual canvas (GraphML, GraphViz, Adjacency, Pajek, UCINET, etc). You can also alter social networks, examine their sociological and mathematical aspects, and use visualization layouts using SocNetV.


A social media analytics tool called Socioviz uses indicators from social network analysis. enables users to search Twitter conversations for important influencers, viewpoints, and content. User mention and hashtag copresence social network graphs are displayed and exportable in Gephi format (gexf) for additional research.

Sentinel Visualizer

Advanced Link Analysis, Data Visualization, Geospatial Mapping, and SNA are all performed with Sentinel Visualizer. With its database-driven data visualization platform, you can easily model various connection types and view multi-level links between items. The most crucial items are highlighted in optimum views created using advanced drawing and redrawing techniques.


For network analysis and statistical network modeling, Statnet is a collection of R software tools. The analytical approach is based on models of random graphs from the exponential family (ergm). With tools for model estimation, model evaluation, model-based network simulation, and network visualization, it offers a thorough framework for ergm-based network modeling. A central Markov chain Monte Carlo (MCMC) method drives this extensive capability.

SVAT (Smart Visual Analytics Tool)

Data visualization, fraud investigation, and other uses are all possible using SVAT (Smart Visual Analytics Tool). It offers affordable, user-friendly display of subject-to-subject flows and linkages. In many instances, it is essential to have a chronological perspective of the depicted dataset. There are two main timeline views supported by SVAT, each with a wide range of choices. It can crunch data from both organized and unstructured sources to find hidden patterns.


Tulip is an information visualisation framework dedicated to the analysis and visualisation of relational data. It aims to provide the developer with a complete library, supporting the design of interactive information visualisation. Written in C++ the framework enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualisations. One of the goal of Tulip is to facilitate the reuse of components and allows the developers to focus on programming their application. This development pipeline makes the framework efficient for research prototyping as well as the development of end-user applications.


Visone is a software for the visual creation, transformation, exploration, analysis, and representation of network data, jointly developed at the University of Konstanz and the Karlsruhe Institute of Technology since 2001.the main purpose of the Visone software is to empower researchers in the social sciences to analyze and visualize network data in an integrated fashion. Potential applications range from sociometry to bibliometrics and web analysis.


XANALYS specialise in providing powerful software capabilities. From threat assessment, Investigative major case management and advance crime and fraud analytics. It helps to manage multi-jurisdiction major crime investigations, evaluate and analyse suspicious financial transactions, capture and act upon intelligence reports, and disclose evidence in a court-ready format to ensure successful outcomes.


It’s hard to focus on your business when you can’t see your audience. That’s where social network analysis software comes in. eye-catching social media analysis software will help you track the biggest trends and insights related to your target market, no matter where they are in the world. Whether it’s Facebook, Twitter, LinkedIn, or any other social media site, you can use this software to keep an eye on what people are saying and how they interact with each other.

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