The development of Internet and mobile services forms connections structures between people, making us more dynamic and complex organisms.
Connection structures between people are becoming distribution channels of various data and contents, and have a number of effects on decision-making, including our purchasing activities.
Saltlux has analyzed the structure by extracting semantic social networks from social media, email, and vast corporate documents through knowledge/social network analysis solutions.
It has also established eDiscovery systems, intelligent security analyses, knowledge activity profiling, marketing strategies, experts’ recommendation, and search functions to solve problems by analyzing in-depth knowledge and mutual influence on networks.

< Knowledge/Social Network Analysis Solutions Structure Diagram >

Overview

Network analyses, which are quantitative analysis methods to analyze relationship between objects (all objects including an agent) using graph theory, have various analysis methods according to the analysis target, among which social network analyses are often paramount. The current organizations are making efforts to find the new value of knowledge or use it for work or management through analysis of distribution and flow of knowledge. The organizations have various types of information (documents, email, the web, etc.) and can configure knowledge networks through analyses of these information resources. Generally, a knowledge network within an organization has the following benefits: Configuration of a knowledge network provides a basis for analyses of user types, knowledge flows, distribution channels of knowledge, and integration of knowledge dispersed within an organization.

Main Features

• Customer Problems

As communication channels become diversified and cooperative structures become complicated, it is becoming increasingly difficult to analyze the influence and marketing targets on social media with experts within an organization, as well as to understand cooperative structures within and beyond an organization.

• Introduction Effects

Cost effective social marketing, experts’ recommendation to solve problems, effective knowledge management through character profiling, and establishment of security and eDiscovery systems through knowledge network analysis, and more.

• Main Functions

Network connection density, strength, analysis of various types of centrality, key figures by subject, proximate analyses of figures, analyses of related figures by subject, profiling of figures by related subject, analyses of connection paths, and others.

• Built-in Products

STORM, RAINBOW, DISCOVERY and Interworking

• Major Customers

Busan Metropolitan City Hall, Ministry of National Defense, KT, etc.

Detailed Functions

Knowledge networks are based on a social relationship network and a network of various subjects’ information occurring within an organization. Analyses of knowledge networks provides not only information of knowledge experts and knowledge brokers, but also the analysis results of user types, knowledge flow paths, and distribution channels of knowledge through analyses of social relationships and subjects. The data sources for analyses of knowledge within an organization and analysis methods are as follows:

Knowledge networks configured within an organization enable various analyses and usages according to a certain point of view and provide a basis to easily access or utilize knowledge dispersed within an organization. Analyses of knowledge networks have the following characteristics.

Knowledge Network Use

Let us explain how to configure a knowledge network from information that an organization has and to utilize it to form the characteristics of a knowledge network. Basically, an organization shares various types of work information within itself through email systems. How to apply networks configured through analyses of data sources, which can configure networks like email systems used within an organization to work, is as follows: Email-based networks are configured based on email sending and receiving and knowledge flow configures knowledge networks through analyses of entities existing on networks. How to use it is as follows:

Networks within an organization can encounter problems like privacy infringement and supervision of members; however, finding various knowledge classes within anorganization has more benefits.

Features

Knowledge networks are based on a social relationship network and a network of various subjects’ information occurring within an organization. Analyses of knowledge networks provides not only information of knowledge experts and knowledge brokers, but also the analysis results of user types, knowledge flow paths, and distribution channels of knowledge through analyses of social relationships and subjects. The data sources for analyses of knowledge within an organization and analysis methods are as follows: