KR20150013378A - Method of analysis and its system for online game user analysis - Google Patents

Abstract

A method of analyzing online game users and an analyzing system thereof, capable of collecting data from a game database and a game log recording online games, recognizing and analyzing a game status, and providing optimized online games to users, are provided. The system of analyzing online game users comprises a plurality of game clients (10); an online game service (20) providing online games to the game clients (10); a user analysis system (40) analyzing connectors of the online games, payment, preferred characters, preferred maps, and a character growth, creating corresponding data, and storing the created data; a game analysis terminal (30) reading the analysis data of the user analysis system (40); and an information communication network (100) connecting the game clients (10), the online game service (20), the game analysis terminal (30), and the user analysis system (40).

Description

METHOD OF ANALYSIS AND ITS SYSTEM FOR ONLINE GAME USER ANALYSIS

The present invention relates to an on-line game user analysis method and an analysis system thereof, which collects and analyzes data on a game log recording an online game and a game database to provide an optimized online game to a game user, To be able to do.

It is very inconvenient because it is a structure that collects and analyzes various kinds of data of online games manually. It is difficult to analyze accurately because there are many data errors (errors) in the data collection process, and there are various problems there was.

Korean Patent Laid-Open Publication No. 10-2006-0104952 (Title of the Invention: Board Game System Using Economy Concept, Published on October 9, 2006) Korean Patent Laid-Open Publication No. 10-2009-0096591 (Title of the Invention: Game Providing Method Using Child Customer Economy Level, Patent Document 11, 2009)

An object of the present invention is to provide an online game user analysis method and an analysis system thereof.

Another object of the present invention is to provide an online game optimized for online game users by analyzing online game user's access, payment, preferred character, preference map, character growth (experience value acquisition) (Service), and an analysis system of the online game.

The online game user analysis system according to an embodiment of the present invention includes a plurality of game clients 10; An online game service (20) for providing an online game to the plurality of game clients (10); A user analysis system 40 for analyzing and storing data of online gamers, payment, preference character, preference map, and character growth; A game analysis terminal (30) for viewing analysis data of the user analysis system (40); An information communication network 100 for connecting the plurality of game clients 10, the online game service 20, the game analysis terminal 30 and the user analysis system 40; . ≪ / RTI >

The online game user analysis system according to another embodiment of the present invention includes an analysis terminal 320 connected to the information communication network 100 to browse online analysis data of online game users; An analysis server 300 connected to the information communication network 100 and having a connection analysis module 301; A game database (DB) 210 connected to the information communication network 100 and having a user DB 211; An analysis database 310 connected to the analysis server 300 and the game database 210 and having a connection analysis DB 311; A game log 220 connected to the analysis server 300 and the analysis database 310 and having a connection log 221; . ≪ / RTI >

The online game user analysis system according to another embodiment of the present invention includes an analysis terminal 320 connected to the information communication network 100 to browse payment analysis data of an online game user; An analysis server 300 connected to the information communication network 100 and having a payment analysis module 302; A game database 210 connected to the information communication network 100 and having a user DB 211; An analysis database 310 connected to the analysis server 300 and the game database 210 and having a settlement analysis DB 312; A game log 220 connected to the analysis server 300 and the game database 210 and having a billing log 222; . ≪ / RTI >

The online game user analysis system according to another embodiment of the present invention may include an analysis terminal 320 connected to the information communication network 100 to browse preference character analysis data of an online game user; An analysis server 300 connected to the information communication network 100 and having a preferred character analysis module 303; A game database 210 connected to the information communication network 100 and having a user DB 211 and a character DB 212; An analysis database 310 connected to the analysis server 300 and the game database 210 and having a preferred character analysis DB 313; A game log 220 connected to the analysis server 300 and the game database 210 and having a connection log 221; . ≪ / RTI >

The online game user analysis system according to another embodiment of the present invention includes an analysis terminal 320 connected to the information communication network 100 and browsing the online game user's preference map analysis data; An analysis server 300 connected to the information communication network 100 and having a preference map analysis module 304; A game database 210 connected to an information communication network 100 such as a wired / wireless Internet and equipped with a character DB 212; An analysis database 310 connected to the analysis server 300 and the game database 210 and having a preference map analysis DB 314; A game log 220 connected to the analysis server 300 and the game database 210 and having a map movement log 225; . ≪ / RTI >

The online game user analysis system according to another embodiment of the present invention includes an analysis terminal 320 connected to the information communication network 100 to browse character growth analysis data of an online game user; An analysis server 300 connected to the information communication network 100 and having a character growth analysis module 305; A game database 210 connected to the information communication network 100 and having a user DB 211 and a character DB 212; An analysis database 310 connected to the analysis server 300 and the game database 210 and having a character growth analysis DB 315; A game log 220 connected to the analysis server 300 and the game database 210 and having an experience value acquisition log 223 and a game money generation log 224; . ≪ / RTI >

The method of analyzing an online game user according to an embodiment of the present invention includes the steps of: accessing a game log 220 to collect a visitor log and then executing a connection analysis module 301 of the analysis server 300; Collecting a connection log (221) in the game log (220) to collect a list of users connected to the game; Collecting the contents of the user DB in the game database 210 to collect user information from the user list collected in the visitor log 221; Analyzing the information of the user in the connection analysis module 301 of the analysis server 300 based on the collected information in the connection log 221 and the user DB 211; Storing the analyzed data (contents) in the visitor analysis DB; Lt; / RTI >

The online game user analysis method according to another embodiment of the present invention includes: starting a payment analysis module 302 of the analysis server 300 to analyze contents paid by a user; Collecting a billing log (222) in a game log (220) to collect the payment made by the user; Collecting a user DB based on a list of user IDs collected in the billing log; Collecting statistics on the collected items on a daily basis for each item item and analyzing them in a settlement analysis module; Analyzing the analyzed contents according to the age of the user and the type of the character, and storing the analyzed contents in the settlement analysis DB 312 of the analysis database 310; Lt; / RTI >

The online game user analysis method according to another embodiment of the present invention includes the steps of executing a preference character analysis module 303 of the analysis server 300 to analyze a user's preferred character; Collecting the access log 221 from the game log 220 to know which character the user has used at predetermined time intervals; Collecting information about the user in the user DB 211 of the game database 21 based on the user list of the access log 221; Collecting character information from the character DB 212 of the game database 210 based on the character information of the user list of the connection log 221; Collecting statistics on the number of persons connected to each type of character for each day based on the connection log 221 and performing a preferred character analysis; Storing the analyzed contents in the preference character module (303) of the analysis server (300) in the preference character analysis DB (313) of the analysis database (310); Lt; / RTI >

The online game user analysis method according to another embodiment of the present invention includes the steps of executing a preference map analysis module 304 of the analysis server 300 in order to analyze a favorite character of an online game user; Collecting a map movement log 225 by accessing a game log 220 in which users can confirm which map has been moved; Collecting character information from the character DB 212 of the game database 210 based on the list of characters in the map movement log 225; Analyzing the preference map to the map analysis module 304 of the analysis server 300 based on the information collected based on the map movement log 225; Storing the amount of movement of each character in the map in the preferred character analysis DB 314 of the analysis database 310 based on each date analyzed by the map analysis module 304; Lt; / RTI >

The online game user analysis method according to another embodiment of the present invention includes the steps of: executing the character growth analysis module 305 of the analysis server 300 to analyze the growth of the user's character; Collecting an experience acquisition log (223) in the game database (210) in order to analyze the acquired experience value when the character is leveled up through experience; Collecting a game money occurrence log (224) in the game database (210) in order to analyze growth of economic activity through game money obtained when the character raises the level; Collecting information of characters from the character DB 212 of the game database 210 based on the list of characters in the experience value acquisition log 223 and the game money generation log 224; Analyzing statistics on the experience value acquired by the character for each day; Storing the analyzed contents in a character growth analysis DB 315; Lt; / RTI >

According to another aspect of the present invention, there is provided an online game user analysis method comprising: executing an analysis program in an analysis terminal (320); The executed analysis program accesses the user management module 306 of the analysis server 300 for permission to use and inputs ID and password of the user stored in the analysis terminal DB 316; Checking the IP address of the analysis terminal (S35); Completing the authentication of the user if the analysis terminal DB 316 confirms whether the IP address of the computer executing the analysis terminal 320 is allowed and verifies the IP, Lt; / RTI >

The method of analyzing an online game user according to another embodiment of the present invention includes the steps of: inputting an ID and a password in a user authentication analysis terminal 320 and confirming a permitted IP address to confirm a user's entitlement; Selecting one of the contents of the analysis database 310 that is analyzed and stored through each analysis module; Confirming whether or not the selected file is authorized and returning to the selection of the browse data when there is no authority to browse; A corresponding DB browsing step of displaying the contents of the analysis database 310 when the user has the right to browse; Lt; / RTI >

The data analyzed and utilized in the present invention includes online game user's user analysis data, payment analysis data, preferred character analysis data, preference map analysis data, character growth (experience acquisition) analysis data, (Optimized and stabilized) online games for online game users by providing appropriate and appropriate application to the game.

The present invention relates to an on-line game user game tendency or a game status by using an online game user's accessor analysis data, settlement analysis data, preferred character analysis data, preference map analysis data, character growth (experiential value acquisition) Etc., and applying the data appropriately to the online game service, it is possible to provide an optimized (optimized and stabilized) online game to the online game users.

The present invention is advantageous in that it enables an online game user to view visitor analysis data, settlement analysis data, preference character analysis data, preference map analysis data, character growth (experience acquisition acquisition) analysis data and the like using an analysis terminal through user authentication have

The present invention systematically grasps the current state of online games and analyzes the causes to provide a basis for efficient game operation.

The present invention is a very useful invention having an effect such as security of data is enhanced by easily and easily browsing game analysis data and controlling the accessing procedure of the reading authentication procedure.

1 is a block diagram of an online game user analysis system shown as an example of the present invention.
FIG. 2 is a block diagram of an online game user interface analyzing system as an example of the present invention.
3 is a block diagram of an online game user billing analysis system as an example of the present invention.
4 is a block diagram of an online game user's preferred character system shown in FIG.
5 is a block diagram of an online game user preference map analyzing system as an example of the present invention.
6 is a block diagram of an online game user character growth analysis system as an example of the present invention.
7 is a block diagram of an online game user authentication and browsing system shown as an example of the present invention.
8 is a flow chart for analyzing the online game user accesses shown in the embodiment of the present invention.
FIG. 9: Graph of online game user connection analysis shown in an example of the present invention.
10 is a graph illustrating an online game user access time analysis as an example of the present invention.
FIG. 11 is an example of the present invention.
12 is a flow chart of an online game user settlement analysis as an example of the present invention.
13 is a graph showing an analysis of online game user item sales analysis as an example of the present invention.
FIG. 14 is a graph showing sales views of online game users by occupation as an example of the present invention.
15 is a flowchart of a game character preference characterization analysis shown in an example of the present invention.
16 is a graph of the connection status of each game user by date shown as an example of the present invention.
17 is a graph showing a character occupation status of a game user according to each day shown in an example of the present invention.
18 is a flow chart of a preference map analysis of an online game user shown in an example of the present invention.
FIG. 19: Graph of game user movement amount by map in the online game shown as an example of the present invention.
FIG. 20 is a graph showing the map usage status of online game users by occupation as an example of the present invention.
21 is a flow chart of character growth analysis of an online game user shown in an example of the present invention.
22 is a graph showing an amount of experiential value obtained by an on-line game user in accordance with an example of the present invention.
FIG. 23: Monthly game money acquisition amount graph of an online game user shown as an example of the present invention.
FIG. 24 is a graph showing an amount of detailed experience gained by an online game user according to an example of the present invention.
FIG. 25 is a graph showing the amount of detailed game money acquired by an online game user according to an example of the present invention.
26 is an authentication flowchart for browsing data of an online game user shown in an example of the present invention.
Fig. 27 is a flow chart of data browsing of an online game user shown as an example of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description of the embodiments of the present invention, the same components as in the drawings are denoted by the same reference numerals as possible, and detailed descriptions of known configurations and functions are omitted so as not to obscure the gist of the present invention.

FIG. 1 illustrates an online game user analysis system according to an embodiment of the present invention. The online game user analysis system includes a plurality of game clients 10, an online game service 20 for providing online games to the plurality of game clients 10, A user analysis system 40 for analyzing and storing the online game's users, settlement, preferred character, preference map, and character growth; and a game analysis terminal 30 for viewing analysis data of the user analysis system 40. [ And an information communication network 100 such as a wired / wireless Internet connecting the plurality of game clients 10, the online game service 20, the game analysis terminal 30 and the user analysis system 40 via a network do.

The present invention provides an optimized (optimized and stabilized) online game for online game users by analyzing, storing, and utilizing data of online gamers' users, payment, preferred character, preference map, character growth (experience acquisition) (Service).

The game client 10 includes a plurality of computer terminals 111 having a game terminal 112 so as to access the game server 200 through the information communication network 100. The computer terminal 111 is physically connected to the information communication network 100 and executes a game program. The computer terminal 111 is equipped with various input / output devices such as a keyboard, a mouse, a microphone, a speaker, The terminal 111 receives an online game from the game server 200 and executes it.

The on-line game service 20 includes a game server 200, a game database (DB) 210, and a game log DB 220, which are connected to the game terminal 112 through the information communication network 100 It is an online game service system that provides online games.

The game server 200 provides an online game to the game terminal 112 through the information communication network 100. The game database 210 stores game information in the online game and information about the user, The DB 220 is stored so that the game user can view the records of the game.

The game analysis terminal 30 includes a computer terminal 321 and an analysis tool 322 that can view analyzed data of the game through the analysis server 401. The computer terminal 321 is a physical Which is connected to the Internet 100 and can execute the analysis tool 322. The analysis tool 322 can access the analysis DB 402 through the analysis server 401 to view analysis data of the game It is a program.

The user analysis system 40 comprises a server and a database for collecting data of the game database (DB) 210 and the game log 220, analyzing contents of the game, and storing analysis data.

The analysis server 401 analyzes the operation status of the game using the data stored in the game database 210 and the game log DB 220, and the analyzed data is stored in the analysis DB 402.

FIG. 2 illustrates an online game user accessory analysis system according to an embodiment of the present invention. The online game user accessory analysis system includes a computer and is connected to an information communication network 100 such as a wired / wireless Internet, An analysis server 300 connected to an information communication network 100 such as the wired / wireless Internet and having a connection analysis module 301 and an analysis server 300 connected to the information communication network 100 such as wired / An analysis database 310 connected to the analysis server 300 and the game database 210 and having a connection analysis DB 311, And a game log 220 connected to the server 300 and the analysis database 310 and having an access log 221 to exchange data with each other.

The connection analysis module 301 collects information such as age and gender of a visitor of the game through the connection log 221 and collects user information of the user DB 211 based on the collected log list. The collected information is analyzed by the connection analysis module 301, and the analyzed data is stored in the connection analysis DB 311.

The connection log 221 stores a record of the connection time from when the user connects to the game server to the game server in the online game, and the information registered to the user's game service is stored in the user DB 211 .

The connection analysis DB 311 stores the data analyzed by the connection analysis module 301 and the analyzed data is stored by time zone (or by date), and the visitor analysis data is read by the analysis terminal 320 for each day can do.

The analysis terminal 320 includes a program for browsing the contents of the connection analysis DB 311. The analysis terminal 320 includes only a user allowed by the analysis server 300 through the user authentication, The analysis data can be browsed.

The analysis terminal 320 is a tool that is physically connected to the information communication network 100 and is a tool for browsing the analysis database. The analysis terminal 320 includes a program for browsing and the like, and is connected to various input / output devices such as a keyboard, a mouse, .

FIG. 3 is an example of a billing analysis system of an online game user shown in FIG. 3. The billing analysis system of FIG. 3 includes an analyzing terminal which is connected to an information communication network 100 such as a wired / wireless Internet, An analyzing server 300 connected to an information communication network 100 such as a wired / wireless Internet and having a settlement analyzing module 302 connected to an information communication network 100 such as a wired / An analysis database 310 connected to the analysis server 300 and the game database 210 and provided with a settlement analysis DB 312, a game database 210 having a user DB 211, And a game log 220 connected to the game database 210 and having a billing log 222. The game log 220 processes data while exchanging data with each other.

The billing analysis module 302 collects the billing log 222 to analyze the usage status of the user's pay service and collects the user information of the user DB 211 based on the list of the collected logs. The collected information is stored in the settlement analysis DB 312 through analysis of the settlement analysis module 302.

The billing log 220 stores the service, amount, and payment time information for each user. Based on the list of the collected billing logs 222, the user information is stored in the user DB 211 according to the age and gender of the user. Collect.

The settlement analysis DB 312 stores data analyzed by the settlement analysis module 302. The analyzed data can be stored by the date of payment and service items and can be browsed by the analyzing terminal 320 and referenced based on the collected user information.

The analysis terminal 320 includes a tool for browsing the contents of the settlement analysis DB 312 and includes a program for browsing only the users allowed from the analysis server 300 through user authentication, The settlement analysis data can be browsed using the settlement analysis data 320.

FIG. 4 is a system for analyzing a preferred character of an online game user shown in the present invention. The system is composed of a computer and is connected to an information communication network 100 such as a wired / wireless Internet to read preference character analysis data of an online game user An analyzing server 300 connected to an information communication network 100 such as a wired / wireless Internet and having a preferred character analyzing module 303, an information communication network 300 such as a wired / A game database 210 connected to the analysis server 300 and the game database 210 and having a user DB 211 and a character DB 212 and a preference character analysis DB 313 connected to the analysis server 300 and the game database 210 And a game log 220 connected to the analysis server 300 and the game database 210 and having an access log 221 to exchange data with each other.

The preferred character analysis module 303 analyzes the types of characters recently accessed through the connection log 221. The preference character analysis module 303 collects user information from the user DB 211 based on the collected logs, And collects character information from the character DB 212 based on the log. The collected information is stored in the preferred character analysis DB 313 through analysis of the preferred character analysis module.

The access log 221 stores the access time and the termination time recorded by the user connected to the user. The user DB 211 stores the information of the user in the list based on the list of the access logs 221 From the user DB (211). The collection includes the age and sex of the user.

The character DB 212 collects information on characters in the list from the user DB 211 on the basis of the list of the collected access logs 221, and the collected contents include the type and level of the character.

The preferred character analysis DB 313 stores the analyzed data in the preferred character analysis module 303. The analyzed data can be browsed by character type and character level, ) Star preference can be browsed.

The analysis terminal 320 includes a program for browsing the contents of the preferred character analysis DB 313 and a program for browsing only the users allowed from the analysis server 300 through the user authentication 320) can be used to browse the preferred character analysis data.

FIG. 5 is a system for analyzing a preference map of an online game user, which is an example of the present invention, and is composed of a computer and is connected to an information communication network 100 such as a wired / wireless Internet and analyzes an online game user's preference map analysis data An analysis server 300 connected to an information communication network 100 such as a wired / wireless Internet and having a preference map analysis module 304 and an analysis server 300 connected to an information communication network 100 such as wired / An analysis database 310 connected to the analysis server 300 and the game database 210 and having a preference map analysis DB 314, a game database 210 having a character DB 212 connected to the game database 210, And a game log 220 connected to the analysis server 300 and the game database 210 and having a map movement log 225. The game log 220 exchanges data with each other.

The preference map analysis module 304 analyzes map preference tendencies of the characters through the map movement log 225 and collects character information from the character DB 212 based on the collected logs. The user information is collected in the user DB 211 based on the list of the collected characters, and the collected information is stored in the preference map analysis DB 314 through the analysis of the preference map analysis module 304.

The map movement log 225 stores a map entry and exit record of characters for each map. The user DB 211 collects information of users in the list from the user DB 211 based on the collected map movement log 225 The collected contents include the age and gender information of the user.

The character DB 212 collects information on characters in the list from the user DB 211 on the basis of the list of the collected access logs 221, and the collected contents include the type and level of a character.

The preference map analysis DB 304 stores data analyzed by the preference map analysis module 304. The analyzed data can view the residence time of each map according to the type (occupation) and level of characters entering and leaving the map .

The analysis terminal 320 includes a program for browsing the content of the preference map analysis DB 314 and a program for browsing the contents of the preference map analysis DB 314. A user allowed by the analysis server 300 through the user authentication is connected to the analysis terminal 320 ) Can be used to view online game user's preference map analysis data.

FIG. 6 is a character growth analysis system of an online game user as an example of the present invention. The character growth analysis system is composed of a computer and is connected to an information communication network 100 such as wired / wireless Internet to analyze character growth analysis data of online game users An analysis server 300 connected to an information communication network 100 such as a wired / wireless Internet and equipped with a character growth analysis module 305, an information communication network 100 such as a wired / wireless Internet, And a character growth analysis DB 315 connected to the analysis server 300 and the game database 210. The game database 210 includes a user DB 211 and a character DB 212, And a game log 220 connected to the analysis server 300 and the game database 210 and having an experience value acquisition log 223 and a game money occurrence log 224, While receiving .

The character growth analysis module 305 collects the experience gained amount of the characters through the experience gained acquisition log 223 and collects the game money gained amount of the characters through the game money generation log 224. [ Collects user information from the user DB 211 based on the list of collected logs, and collects character information from the character DB 212. The collected information is stored in the character growth analysis DB 315 through the analysis of the character growth analysis module 305.

The experience value acquisition log 223 stores an experience acquisition record for each character type (job), and the game money occurrence log 224 stores a game money occurrence record generated through battle for each character.

The user DB 211 collects user information on the list in the user DB 211 on the basis of the collected experiential value acquisition log 223, and includes contents of the user's age and gender.

The character DB 212 collects character information from the character DB 211 on the basis of the list of the collected experience value acquisition log 223, and the collected contents include a character type, a level, and the like.

The character growth analysis DB 304 stores data analyzed by the character growth analysis module 305, and can collect and analyze acquired experience values for each character and level as analyzed data. Also, the growth rate of the character can be browsed based on the experience gained per period, and the amount of game money can be browsed by the level level based on the generated game money.

The analysis terminal 320 includes a tool for browsing the contents of the character growth analysis DB 304 and a program for browsing. The analysis terminal 320 includes a user analysis terminal 320, The character growth analysis data of the online game user can be browsed.

7 is a block diagram illustrating an example of a user authentication system of an online game user according to an embodiment of the present invention. The user terminal 300 includes an analysis terminal 320 including a computer (PC) The analysis server 300 includes a user management module 306 and an analysis database 310 connected to the analysis server 300 and having an analysis terminal DB 316 .

The user management module 306 confirms whether the user using the analysis terminal 320 is an authorized user, and then confirms the ID and password input by the analysis terminal 320 and confirms the accessed IP address. In addition, when the analysis terminal 320 requests the viewing of data, it confirms whether the requested user has the right to view the data. The data has the authority to access the area corresponding to each category for each user.

In the analysis terminal DB 316, a user ID and a password are stored, and authority information for accessing the data is stored. In addition, access rights corresponding to categories of data are stored for each user. The access right includes whether or not the access right is read and the down access right. The analysis terminal 320 executes the analyzed user analysis data by executing the readout program.

The analyzing terminal 320 checks the IP address of the PC that executes the analyzing terminal 320 and confirms whether it is a permitted IP address stored in the analyzing terminal DB 317 .

FIG. 8 is a flow chart illustrating a connection analysis process of an online game according to an exemplary embodiment of the present invention. As illustrated in Table 1, the connection log analysis module 301 of the analysis server 300 accesses the game log 220, A step S2 of collecting an access log 221 in the game log 220 to collect a list of users connected to the game, a step S2 of collecting the users collected in the visitor log 221, Collects the contents of the user DB in the game database 210 (step S3), collects the information in the collected connection log 221 and the user DB 211, , Analyzing the user's information in the connection analysis module 301 of the analysis server 300 in step S4 and storing the analyzed data in the visitor analysis DB in step S5.

The method further includes a step of accessing the contents of the analysis database 310 through the analysis server 300 through the analysis terminal 320 in a step S 5 in which the analysis data is stored in the visitor analysis DB .

Table 1 shows that the user logs in at 20:44 on May 13, 2013 for the "Moonlight Angel" with the "Elguy" ID, and the "pig rabbit" with the "PigRabbit" ID May 23, 2013 21:02 You can see that you logged out.

Visitor log table  No ID Character name Time Access behavior ... ... One Elguy Moonlight Angel 2013-05-13 20:44 login ... ... 2 PigRabbit Pig rabbit 2013-05-23 21:02 Log out ... ... 3 Frontguy Gaila 2013-05-23 21:05 Log out ... ... 4 kms7447 Moon citizen 2013-05-23 21:18 login ... ... 5 Lovelyangel Love angel 2013-05-23 22:25 login ... ...

Table 2 is the user DB example table. In the case of the "Moonlight Angel" with the "Elguy" ID, the 30-year-old male is known as a "worker" and the "pig rabbit" with the ID "PigRabbit" You can see that the job is "Monk".

User DB example table  No ID age gender Character name job ... ... One Elguy 30 south Moonlight Angel inspection ... ... . 2 PigRabbit 29 female Pig rabbit Monk ... ... 3 Frontguy 24 south Gaila thief ... ... 4 kms7447 32 south Moon citizen Hunter ... ... 5 Lovelyangel 26 female Love angel priest ... ...

FIG. 9 is a graph showing the ages (10, 20, 30, 40, and so on) of the users who accessed the online game at 20:00 on May 8, 2013, And analyze the information of the user in the connection analysis module 301 of the analysis server 300 based on the information in the user DB 211.

FIG. 10 is an analysis of an access time analysis graph of an online game user shown in an example of the present invention. It is an analysis of a game time after a game user accesses an online game service. When a connection time is analyzed on May 8, 2013, Minute, the number of users connecting for 210 minutes or more is the smallest, and statistics on the connection time can be collected by dividing the number of users who are logged out after a predetermined number of minutes.

FIG. 11 is a graph showing a user-by-occupier profile of an online game user, which is an example of the present invention, showing that the analysis terminals 320 are browsing the access status of the twenties on May 8, 2013 Of course, the user can select the desired date and age ranges using the analysis terminal 320, and confirm the analyzed contents of the user's connection status.

Table 3 shows the connection analysis DB example table. The analysis contents are classified into occupation (inspection, archer, rogue, wizard), age group (10s, 20s, 30s, 40s, etc.) The number of users to be connected is aggregated and collected and converted into a database.

Connection Analysis DB Sample Table slot inspection Archer thief Wizard Teenager 20's 30s 40s group
Get Teenager 20's 30s 40s Etc Teenager 20's 30s 40s Etc Teenager 20's 30s 40s Etc 2013-5-8 18:00 187 248 294 154 62 248 321 249 141 38 215 379 257 137 49 328 367 249 158 34 2013-5-8 20:00 157 428 341 248 72 217 384 267 162 42 278 408 279 156 61 347 387 278 168 38 2013-5-8 22:00 124 684 398 324 85 187 474 314 187 57 289 439 305 167 74 398 392 296 184 46 2013-5-9 0:00 168 548 341 249 64 153 361 276 148 41 348 476 316 183 89 425 368 312 206 49 2013-5-9 2:00 139 327 267 136 38 116 312 219 119 38 265 388 291 137 58 379 354 263 167 47

FIG. 12 is a flowchart of a settlement analysis of an online game user shown in FIG. 12 according to an embodiment of the present invention. In step S7 (FIG. 12), the settlement analysis module 302 of the analysis server 300 is started to analyze contents paid by a user. Collecting the billing log 222 from the game log 220 in order to collect the payment made by the user in step S8, collecting the user ID from the billing log, (Step S9), collecting the collected contents on a daily basis for each item item, analyzing the collected statistics by the payment analysis module (step S10), analyzing the analyzed contents by the age of the user, the type of characters (Step S11), and the content is browsed through the analysis terminal 320 (step S12).

In the step of collecting the user DB (information about the user) (S9), the user DB, such as the name of the item purchased by the user as shown in Table 4, information on the amount and time, etc., are collected.

Billing log example table  No ID Character name Time Purchase item Log Price ... ... One Elguy Moonlight Angel 2013-05-23 18:43 Reinforcing stabilizer purchase  1,500 ... ... 2 PigRabbit Pig rabbit 2013-05-23 19:36 Premium Pack purchase 11,800 ... ... 3 Frontguy Gaila 2013-05-23 20:52 Yi armor purchase  4,800 ... ... 4 kms7447 Moon citizen 2013-05-23 21:36 Quick ride purchase  5,600 ... ... 5 HotLemon Hot lemon 2013-05-24 8:47 Card reinforcing pack purchase  6,800 ... ...

Table 4 is a billing log example table that collects the billing log 222 from the game log 220 to collect the payment made by the user. For the "Moonlight Angel" with the "Elguy" ID, May 23, 2013 : 43, the stabilizer was purchased at 1,500 won.

The user DB (information on the user) collected in the above is collected and analyzed according to each item item on a daily basis using the settlement analysis module 302 and then analyzed in the settlement analysis DB 312 of the analysis database 310 . The contents stored in the settlement analysis DB 312 include the quantity of the item to be sold, and it is also possible to calculate the sales amount based on the price of the item. For the user DB, the user DB shown in Table 2 is referred to.

Table 5 shows the billing analysis content DB sample tables and includes databases such as age, occupation, sales item (fortified stabilizer, premium pack, ultra armor, card reinforcing pack, etc.) and date (or time zone).

Billing analysis contents DB example table No date item inspection Archer thief Wizard Teenager 20's 30s 40s Etc Teenager 20's 30s 40s Etc Teenager 20's 30s 40s Etc Teenager 20's 30s 40s Etc One 2013
-5
-8 reinforce
stabilizator 12 36 48 34 28 34 57 69 51 18 24 29 36 41 37 18 24 31 19 7 2 2013
-5
-8 Premium Pack 62 81 95 108 33 57 31 30 28 24 80 61 48 31 49 70 58 42 33 6 3 2013
-5
-8 Ultra Armor 124 164 84 21 4 31 24 37 26 21 67 89 108 72 18 28 36 27 15 8 4 2013
-5
-8 Card
Reinforcing pack 148 157 179 89 21 167 184 113 64 17 127 146 178 106 24 134 167 187 108 37 5 2013
-5
-8 Etc 5 3 5 2 One 4 3 4 2 One 2 3 5 2 One One 4 2 One 2

The contents (database) stored in the settlement analysis DB 312 of the analysis database 310 can be browsed through the authentication procedure to the analysis terminal 320, and detailed contents can be browsed by selecting each item (Step S12).

FIG. 13 is a graph showing an analysis of sales of paid items by an online game user shown in an example of the present invention. It can be seen that the "card reinforcing pack" was sold most and the "quick ride" was sold the least amount on May 8, 2013.

FIG. 14 is a graph showing an analysis of the sales amount of the "Strengthening Stabilizer" among the paid items sold in FIG. 13, showing that the sales amount of the "rogue" job is the largest, and the sales amount of the "wizard" have.

FIG. 15 is a flow chart illustrating an analysis of a character preferred by online game users according to an exemplary embodiment of the present invention. The preferred character analysis module 303 of the analysis server 300 is executed to analyze a user's preferred character Collecting the access log 221 from the game log 220 in order to know which character is used by the users at a predetermined time interval at step S14, The character DB 212 of the game database 210 based on the character information of the user list of the connection log 221 in the user DB 211 of the game database 21 Collecting statistics on the number of persons who are connected for each type of character (occupation) by each day based on the connection log 221 and analyzing the preferred character (S17) Storing the analyzed information in the preferred character module 303 of the server 300 in the preferred character analysis DB (313) for analyzing the database 310 (step S18), is to.

The contents stored in the preferred character analysis DB 313 of the analysis database 310 are read through the analysis terminal 320 in the step of storing the analyzed contents in the preferred character analysis DB (Step S19), and details of each item can be found and browsed.

The user DB 211 may use the user DB in Table 2 when collecting information about the user from the user DB 211 of the game database 21 in step S15 and collecting information on the characters In step S16, the character DB may use the character DB example table shown in Table 6. [

Character DB Sample Table  No ID Character name job level ... ... One Elguy Moonlight Angel inspection 15 ... ... 2 PigRabbit Pig rabbit Monk 30 ... ... 3 Frontguy Gaila thief 21 ... ... 4 kms7447 Moon citizen Hunter 47 ... ... 5 Lovelyangel Love angel priest 17 ... ...

In the step of analyzing the preferred character (S17), the collected statistics may be collected again based on the level of the character again. In the step of storing the analyzed contents in the preferred character analysis DB (step S18), the stored contents are analyzed based on a certain character type (occupation) or a certain level based on each date.

FIG. 16 is a diagram showing an example of an online game user's day (May 8, 2013, May 9, 2013, May 10, 2013, May 11, 2013, May 12, 2013) A graph of the number of users by job (inspection, archer, rogue, wizard) shows that the number of users in the inspection job is the highest in May 8, 2013.

Table 7 shows preference character analysis contents DB example table, and it is possible to know at a glance the total number of persons by date (or time period) and the number of users by occupation and age group.

Preferred Character Analysis DB Sample Table No date  Total number of people inspection Archer thief Wizard 10 20 30 40 50 10 20 30 40 50 10 20 30 40 50 10 20 30 40 50 One 2013.
5. 8. 85,749 9004 14406 10804 2881 720 3216 5145 3859 1029 257 4287 6860 5145 1372 343 4502 7203 5402 1441 360 2 2013.
5. 9. 94,821 5926 9482 7112 1896 474 3556 5689 4267 1138 284 4741 7586 5689 1517 379 4978 7965 5974 1593 398 3 2013.
5.10. 104,820 6551 10482 7862 2096 524 3931 6289 4717 1258 314 5241 8386 6289 1677 419 5503 8805 6604 1761 440 4 2013.
5.11. 118,496 7406 11850 8887 2370 592 4444 7110 5332 1422 355 5925 9480 7110 1896 474 6221 9954 7465 1991 498 5 2013.
5.11. 127,851 7991 12785 9589 2557 639 4794 7671 5753 1534 384 6393 10228 7671 2046 511 6712 10739 8055 2148 537

If each date is selected from the contents of FIG. 16, the information used by the character can be browsed by the level of the character for each character type (occupation) as shown in FIG. 17 in detail.

FIG. 17 is a graph showing a character status (inspection, archer, rogue, and wizard) of a game user connected to an online game on May 8, 2013, by age group.

FIG. 18 is an analysis flowchart of a preference map of an on-line game user shown in an example of the present invention. In order to analyze a favorite character of an online game user (user), a preference map analysis module 304 of the analysis server 300 (Step S21) of accessing the game log 220 to check which map the user has moved (the character moved), collecting the map movement log 225, (Step S22) of collecting character information from the character DB 212 of the game database 210 based on the list of characters in the movement log 225 and the information collected based on the map movement log 225 The map analyzing module 304 analyzes the preference map by the map analyzing module 304 of the analysis server 300 so that the map analyzing module 304 calculates the amount of movement Flow rate) and the like of the analysis database 310 Stored in the preference map analysis DB 314 of the analysis database 310 by using the analytical terminal 320 that has been subjected to the authentication procedure (step S24) (Step S25).

In the step of collecting character information from the character DB 212 (S22), the user DB illustrated in Table 2 may be used.

Table 8 shows the map movement log example table. In the case of "Moonlight Angel" with the ID of "Elguy", it can be seen that it has entered "Maple Bridge" map at 20:44 on May 23, 2013, "PigRabbit "Pig rabbits" having IDs of "piggy-rabbits" having IDs of "piggy-rabbits" having an ID of " In the movement analysis graph, it can be seen that the amount of movement to the map is the highest.

Map Move Log Sample No ID Character name Time Map Name Access behavior One Elguy Moonlight Angel 2013-05-23 20:44 Changshang Bridge Entrance 2 PigRabbit Pig rabbit 2013-05-23 21:02 Town of the Beginning Off 3 Frontguy Gaila 2013-05-23 21:05 Hwanggun's camp Entrance 4 kms7447 Moon citizen 2013-05-23 21:18 Changshang Bridge Entrance 5 Lovelyangel Love angel 2013-05-23 22:25 Town of the Beginning Entrance

Table 9 is a preference map analysis DB example table. It is analyzed by the map analysis module 304 (step S23) and the preference map data stored in the preference character analysis DB 314, (Amount of flow) and the like are displayed.

Preferred map analysis DB example table No date  Changshang Bridge Town of the Beginning Hwanggun's camp Total travel  inspection Archer thief Wizard inspection Archer thief Wizard inspection Archer thief Wizard Changshang Bridge Town of the Beginning Hwanggun's camp One 2013-
05-08 2,572 2,229 1,629 2,144 2,353 3,220 3,839 2,972 11,940 7,318 5,777 13,481 8,574 12,384 38,516 2 2013-
05-09 2,845 2,465 1,802 2,371 2,574 3,522 4,200 3,252 12,458 7,636 6,028 14,066 9,483 13,548 40,188 3 2013-
05-10 3,145 2,725 1,992 2,621 2,827 3,869 4,612 3,571 13,016 7,978 6,298 14,695 10,483 14,879 41,987 4 2013-
05-11 3,555 3,081 2,251 2,962 3,017 4,129 4,922 3,811 13,077 8015 6328 14764 11,849 15,879 42,184 5 2013-
05-12 3,836 3,324 2,429 3,196 2,715 3,715 4,429 3,429 12,706 7,788 6,148 14,345 12,785 14,288 40,987

FIG. 20 is a graph showing the map usage status of each online game user according to an example of the present invention. In FIG. 20, details can be viewed by selecting each date, for example, May 8, 2013, Changganggyo "You can check the amount of movement by the occupation (inspection, archer, wizard, thief) entering and exiting the map.

FIG. 21 is a flow chart of a character growth analysis of an online game user shown in an example of the present invention. In FIG. 21, the character growth analysis module 305 of the analysis server 300 is executed in order to analyze a user's character growth , Collecting the experience acquisition log 223 in the game database 210 (step S27) to analyze the acquired experience value when the character level-ups through the experience value (step S27) A step 228 of collecting the game money generation log 224 in the game database 210 to analyze the growth of economic activity through a game money, the experience value acquisition log 223 and the game money generation log 224, Collecting information on the characters in the character DB 212 of the game database 210 based on the list of characters in the game database 210 in step S29, The contents stored in the character growth analysis DB 315 of the analysis database 310 are stored in the growth analysis DB through the analysis terminal 320 in step S30, (Step S31), and it is possible to browse and browse the details in each item.

Table 10 shows the experiential value acquisition log table. In case of "Moonlight Angel" with "Elguy" ID, "128" experience was obtained by hunting "Monster A" at 20:44 on May 13, 2013, "PigRabbit "In the case of a" pig rabbit "with an ID, you can hunt" Monster B "at 21:02 on May 23, 2013 to obtain" 324 "experience.

EXPERIENCES Acquisition Log Example  No ID Character name Time division object Earned Experience One Elguy Moonlight Angel 2013-05-13 20:44 hunt Monster A 128 2 PigRabbit Pig rabbit 2013-05-23 21:02 hunt Monster B 324 3 Frontguy Gaila 2013-05-23 21:05 hunt Monster C 236 4 kms7447 Moon citizen 2013-05-23 21:18 Quest Rewards Quest 1 1,200 5 Lovelyangel Love angel 2013-05-23 22:25 Quest Rewards Quest 2 1,600

In the above step, in the step of collecting the information of the characters in the character DB 212 of the game database 210 based on the list of the characters in the experience value acquisition log 223 and the game money occurrence log 224 The character DB shown in FIG. 6 can be used. In the step of analyzing the statistics on the experience value acquired by the character for each day (S30), each statistic can be analyzed according to the level of the character and the type of the character .

Table 11 shows the experiential value acquisition analysis DB which shows the experience value obtained by level level, each occupation (inspection, archer, rogue, wizard) and total acquired experience value of May 8, 2013 and May 9, 22 is an analysis of the amount of experience gained from level by class on May 8, 2013.

Experiential Achievement Analysis DB Sample Chart No. date Level stand Total acquisition
Experience  inspection  Archer  thief  Wizard One 2013-05-08 10 5,000,548 1,000,110 1,150,126 1,400,153 1,450,159 2 2013-05-08 20 15,641,865 3,128,373 3,597,629 4,379,722 4,536,141 3 2013-05-08 30 34,268,452 6,853,690 7,881,744 9,595,167 9,937,851 4 2013-05-08 40 58,411,242 11,682,248 13,434,586 16,355,148 16,939,260 5 2013-05-08 50 79,412,131 15,882,426 18,264,790 22,235,397 23,029,518 6 2013-05-09 10 5,184,523 1,036,905 1,192,440 1,451,666 1,503,512 7 2013-05-09 20 16,784,852 3,356,970 3,860,516 4,699,759 4,867,607 8 2013-05-09 30 35,125,484 7,025,097 8,078,861 9,835,136 10,186,390 9 2013-05-09 40 52,578,741 10,515,748 12,093,110 14,722,047 15,247,835 10 2013-05-09 50 84,215,873 16,843,175 19,369,651 23,580,444 24,422,603

Table 12 shows the game money collected for each of the level, division (hunting, quest, shop sale, transaction) of May 8, 2013 and May 9, 2013, FIG. 23 is a graph showing an analysis of the amount of money acquired by the level game on May 8, 2013.

Game Money Acquisition Analysis DB Sample Chart No. date Level stand Total acquisition
Game money  hunt  quest  Store sales  deal One 2013-05-08 10 1,054,788 210,958 242,601 295,341 305,889 2 2013-05-08 20 1,684,219 336,844 387,370 471,581 488,424 3 2013-05-08 30 2,348,577 469,715 540,173 657,602 681,087 4 2013-05-08 40 3,284,571 656,914 755,451 919,680 952,526 5 2013-05-08 50 4,518,475 903,695 1,039,249 1,265,173 1,310,358 6 2013-05-09 10 1,236,483 247,297 284,391 346,215 358,580 7 2013-05-09 20 1,751,813 350,363 402,917 490,508 508,026 8 2013-05-09 30 2,018,466 403,693 464,247 565,170 585,355 9 2013-05-09 40 3,348,742 669,748 770,211 937,648 971,135 10 2013-05-09 50 4,682,548 936,510 1,076,986 1,311,113 1,357,939

FIG. 24 is a graph showing the amount of experience acquired by occupation (inspection, archer, thief, and wizard) of 30th level on May 8, 2013, FIG. , Store sales, transactions).

FIG. 26 is a flowchart illustrating a user authentication process of an online game user shown in FIG. 26 according to an embodiment of the present invention. In step S33, the analysis program is executed in the analysis terminal 320, 306 to access the analysis terminal DB 316 to input the ID and password of the user stored in the analysis terminal DB 316 in step S34, the IP address of the analysis terminal in step S35, If the IP address of the computer being executed is confirmed in the analysis terminal DB 316 and the IP verification is completed, the authentication of the user is completed (step S36). Upon completion of authentication, the analysis terminal 320 analyzes The contents analyzed in the terminal DB can be selected and browsed. If it is not the registered user, authentication and connection are denied and the analysis terminal program can not be used.

27 is a flowchart illustrating a process of an online game user browsing data using the analysis terminal 320. The user authentication analysis terminal 320 inputs an ID and a password, (Step S37), selecting one of the contents of the analysis database 310 analyzed and stored through each analysis module (step S38), checking whether the selected file is authorized, If there is no access right, the right to read the book is returned (Step S39). If the right to read is selected, the corresponding DB is displayed (Step S40).

Conventionally, the analyzed data is manually collected and analyzed. However, the present invention can construct a server and quickly collect data and analyze it in an easy way on-line.

The present invention relates to an on-line game user game tendency or a game status by using an online game user's accessor analysis data, settlement analysis data, preferred character analysis data, preference map analysis data, character growth (experiential value acquisition) And can appropriately apply the data to the online game service, thereby providing an optimized (optimized and stabilized) online game to the online game users.

The present invention can browse online game user's user analysis data, payment analysis data, preferred character analysis data, preference map analysis data, character growth (experience acquisition acquisition) analysis data, etc. using the analysis terminal through user authentication

The present invention systematically collects information on online game users, effectively analyzes users, collects and analyzes actual operating conditions so as to be a basis for judging online game operations, and quickly and safely shares the analyzed data .

The present invention establishes an analysis server, periodically collects game logs and DB contents in a systematic manner, constructs status and analysis data for each server that can judge game operation, analyzes the analysis data online, It is configured so that only those who are allowed to access through the authentication process can view it.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation, It is self-evident to those of ordinary skill.

(10) - Online Game Client (20) - Online Game Service
(30) - Game analysis terminal (40) - User analysis system
(100) - Internet (111) (321) - Computer terminal
(112) - Game terminal (200) - Game server
(Game DB) 211 - a user DB
(212) - Character DB (220) - Game log
(221) - Connection log (222) - Billing log
(223) - Experience gained log (224) - Game money occurrence log
(225) - Map movement log (300) (401) - Analysis server
(301) - connection analysis module (302) - payment analysis module
(303) - Preference character analysis module (304) - Preference map analysis module
(305) - Character growth analysis module (306) - User management module
(310) - analysis database (311) - connection analysis DB
(312) - settlement analysis DB (313) - preferred character analysis DB
(314) - preference map analysis DB (315) - character growth analysis DB
(316) - analysis terminal DB (320) - analysis terminal
(322) - analysis tool (402) - analysis DB

Claims (12)

A plurality of game clients (10);
An online game service (20) for providing an online game to the plurality of game clients (10);
A user analysis system 40 for analyzing and storing data of online gamers, payment, preference character, preference map, and character growth;
A game analysis terminal (30) for viewing analysis data of the user analysis system (40);
An information communication network 100 for connecting the plurality of game clients 10, the online game service 20, the game analysis terminal 30 and the user analysis system 40;
An online game user analysis system. An analysis terminal (320) connected to the information communication network (100) and browsing accessory analysis data of an online game user;
An analysis server 300 connected to the information communication network 100 and having a connection analysis module 301;
A game database 210 connected to the information communication network 100 and having a user DB 211;
An analysis database 310 connected to the analysis server 300 and the game database 210 and having a connection analysis DB 311;
A game log 220 connected to the analysis server 300 and the analysis database 310 and having a connection log 221;
An online game user analysis system. An analysis terminal 320 connected to the information communication network 100 to browse payment analysis data of an online game user;
An analysis server 300 connected to the information communication network 100 and having a payment analysis module 302;
A game database 210 connected to the information communication network 100 and having a user DB 211;
An analysis database 310 connected to the analysis server 300 and the game database 210 and having a settlement analysis DB 312;
A game log 220 connected to the analysis server 300 and the game database 210 and having a billing log 222;
An online game user analysis system. An analysis terminal (320) connected to the information communication network (100) and reading preferred character analysis data of an online game user;
An analysis server 300 connected to the information communication network 100 and having a preferred character analysis module 303;
A game database 210 connected to the information communication network 100 and having a user DB 211 and a character DB 212;
An analysis database 310 connected to the analysis server 300 and the game database 210 and having a preferred character analysis DB 313;
A game log 220 connected to the analysis server 300 and the game database 210 and having a connection log 221;
An online game user analysis system. An analysis terminal (320) connected to the information communication network (100) and browsing the preference map analysis data of the online game user;
An analysis server 300 connected to the information communication network 100 and having a preference map analysis module 304;
A game database 210 connected to an information communication network 100 such as a wired / wireless Internet and equipped with a character DB 212;
An analysis database 310 connected to the analysis server 300 and the game database 210 and having a preference map analysis DB 314;
A game log 220 connected to the analysis server 300 and the game database 210 and having a map movement log 225;
An online game user analysis system. An analysis terminal 320 connected to the information communication network 100 to browse character growth analysis data of an online game user;
An analysis server 300 connected to the information communication network 100 and having a character growth analysis module 305;
A game database 210 connected to the information communication network 100 and having a user DB 211 and a character DB 212;
An analysis database 310 connected to the analysis server 300 and the game database 210 and having a character growth analysis DB 315;
A game log 220 connected to the analysis server 300 and the game database 210 and having an experience value acquisition log 223 and a game money generation log 224;
An online game user analysis system. Accessing the game log 220 to collect the visitor log and then executing the connection analysis module 301 of the analysis server 300;
Collecting a connection log (221) in the game log (220) to collect a list of users connected to the online game;
Collecting the contents of the user DB in the game database 210 to collect user information from the user list collected in the access log 221;
Analyzing the information of the user in the connection analysis module 301 of the analysis server 300 based on the collected information in the connection log 221 and the user DB 211;
Storing the analyzed data (contents) in a visitor analysis DB;
Online Game User Analysis Method. Starting the payment analysis module 302 of the analysis server 300 to analyze the contents paid by the user for payment;
Collecting a billing log (222) in a game log (220) to collect the payment made by the user;
Collecting a user DB based on a list of user IDs collected in the billing log;
Collecting statistics on the collected items on a daily basis for each item item and analyzing them in a settlement analysis module;
Analyzing the analyzed contents according to the age of the user and the type of the character, and storing the analyzed contents in the settlement analysis DB 312 of the analysis database 310;
Online Game User Analysis Method. Executing a preference character analysis module (303) of the analysis server (300) in order to analyze a user's preferred character;
Collecting the access log 221 from the game log 220 to know which character the user has used at predetermined time intervals;
Collecting information about the user in the user DB 211 of the game database 21 based on the user list of the access log 221;
Collecting character information from the character DB 212 of the game database 210 based on the character information of the user list of the connection log 221;
Collecting statistics on the number of persons connected to each type of character for each day based on the connection log 221 and performing a preferred character analysis;
Storing the analyzed contents in the preference character module 303 of the analysis server 300 in the preference character analysis DB 313 of the analysis database 310;
Online Game User Analysis Method. Executing a preference map analysis module (304) of the analysis server (300) to analyze an online game user's preferred character;
Collecting a map movement log 225 by accessing a game log 220 that allows the online game users to check which map has been moved;
Collecting character information from the character DB 212 of the game database 210 based on the list of characters in the map movement log 225;
Analyzing the preference map to the map analysis module 304 of the analysis server 300 based on the information collected based on the map movement log 225;
Storing the amount of movement of each character in the map in the preferred character analysis DB 314 of the analysis database 310 based on each date analyzed by the map analysis module 304;
Online Game User Analysis Method. Executing a character growth analysis module (305) of the analysis server (300) in order to analyze contents of a user's character growing;
Collecting an experience acquisition log (223) in the game database (210) in order to analyze the acquired experience value when the character is leveled up through experience;
Collecting a game money occurrence log (224) in the game database (210) in order to analyze growth of economic activity through game money obtained when the character raises the level;
The information of the characters is collected from the character DB 212 of the game database 210 on the basis of the list of the characters in the experience value acquisition log 223 and the game money occurrence log 224, Analyzing the statistics;
Storing the analyzed contents in a character growth analysis DB 315;
Online Game User Analysis Method. Executing an analysis program at the analysis terminal (320);
The executed analysis program accesses the user management module 306 of the analysis server 300 for permission to use and inputs ID and password of the user stored in the analysis terminal DB 316;
Checking an IP address of the analysis terminal 30;
Completing the authentication of the user if the analysis terminal DB 316 confirms whether the IP address of the computer executing the analysis terminal 320 is allowed and the IP address is verified;
Online Game User Analysis Method.

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