ISIRAN Social Network Analyzer
Networks can consist of anything from families, project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Networks can consist of direct linkages between nodes or indirect linkages based upon shared attributes, shared attendance at events, or common affiliations. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweenness and centrality, or individual attributes such as age, sex, or income. ISISocial software generates these features from raw network data formatted in an edge list, adjacency list, or adjacency matrix (also called sociomatrix), often combined with (individual/node-level) attribute data.
ISISocial software can perform predictive analysis. This includes using network phenomena such as a tie to predict individual level outcomes (often called peer influence or contagion modeling), using individual-level phenomena to predict network outcomes such as the formation of a tie/edge (often called homophily models) or particular type of triad, or using network phenomena to predict other network phenomena, such as using a triad formation at time 0 to predict tie formation at time 1. Visual representations of social networks are important to understand network data and convey the result of the analysis. Visualization often also facilitates qualitative interpretation of network data. With respect to visualization, ISISocial is used to change the layout, colors, size and other properties of the network representation. These forms of visualization include a variety of charting visualizations, tables, time lines and maps and the ability to display data in any of these forms while also applying functions to explore the data in an interactive user experience. For example, complex social network graphs can be filtered using summary chart visualizations or timelines to isolate portions of the social network graph that are of interest to the analyst. Interactive data visualization also includes the ability to integrate data and publish dashboards or templates to report results.
You can work with all social and mobile networks easily in an integrated environment. You can send group of messages to specific people and see people posts in a wide scope. Normally, you can’t do it because of social/mobile networks App limitations. By ISISocial, in addition to all actions you can do in a social media’s App, you can do actions and see a lot of reports which aren’t possible directly in social media’s Apps.
Service providers of social and mobile networks don’t allow users to access all data. For example in Twitter you can only get tweets which are sent since one week ago. But in ISISocial, we get and store all required data in you server for later analytics. We use artificial algorithms to gather and access inaccessible data. You can search on data without any limitation. NOTE that you don’t need a lot of servers such as Facebook! We only store useful data.
By geo analyzing, you can answer to these questions or similar ones:
-Which countries does a user live or travel?
-What is geo distribution of users who talk about specific event or topic?
-Which users of a specific country do talk about a specific topic?
-Which users have Viber activities and live in specific location?
Targets can be described by keywords, language, geo location, hash tags and etc. When you define a target in ISISocial, you can find users and posts which are related to. So you can answer to questions similar to:
-What keywords do people talk about?
-When did a user activity changed?
-Also you can do geo analysis and analyzing communication network in each target.
Intelligent Post Officer
By intelligent post officer you can do:
-Send a message to group of users automatically and easily. You can’t do that in social media Apps.
-Send a message to users which have activities in one target or topic.
-Send a message after an alarm or event such as a published news
-Send a message to users which are in a country.
-Send a message to users which are in a geo location.
-Send a message to users which member of a society or group
Analyzing Communication Network
Each user has a complex communication network in social and mobile networks. When you can analyze user communications, you can get very important data about users such as:
-Which users have most relationship to a specific user?
-What is the last time when a user had communication with a specific user?
-What groups does a user have relationship to?
-Do you like to see complex communication network of a user? This graph shows inner relationships, too.
-Which user is the leader of a group?
-Which users are the most effectiveness users in a group?