CN113297388A - Game analysis-oriented strategic event chain-lapping visualization method - Google Patents

Game analysis-oriented strategic event chain-lapping visualization method Download PDF

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CN113297388A
CN113297388A CN202110447712.8A CN202110447712A CN113297388A CN 113297388 A CN113297388 A CN 113297388A CN 202110447712 A CN202110447712 A CN 202110447712A CN 113297388 A CN113297388 A CN 113297388A
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strategic
participants
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events
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CN113297388B (en
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董献洲
邱凯
贾珺
吴文波
樊硕
徐浩
刘洁
雷霆
彭超
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Research Institute of War of PLA Academy of Military Science
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    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides a strategic event chaining visualization method oriented to game analysis, which comprises the following steps: acquiring strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; determining a master attribute based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; creating a clue frame of the strategic event, summarizing the strategic event according to the event topic to which the strategic event belongs, and representing each event topic in the clue frame in a time bar mode; a participant relationship graph is created. According to the scheme of the invention, the visualization of the strategic events can be effectively improved, and more hidden key information can be excavated, so that the strategy game confrontation and research analysis can be better served.

Description

Game analysis-oriented strategic event chain-lapping visualization method
Technical Field
The invention relates to the field of data processing and visualization, in particular to a strategy event chain-lapping visualization method for game analysis.
Background
The strategic game is to count, sort, analyze and predict the development process and trend of the strategic problems according to a certain experimental mode and an analysis method based on relevant data and strategic events of the fields of military, politics, economy and the like of each participant aiming at specific strategic problems. When implementing strategic games, it is critical how to mine as much information as possible from a number of strategic events. Visualization is an important means, and common strategic event visualization methods include event lines, event walls, swim lane diagrams and the like. The event line method is that all strategic events are sequentially arranged along a time line according to the occurrence sequence; most of the event wall methods also show strategic events in an area by taking time as an order, and usually also match pictures, so that the event wall methods are suitable for showing big events in a period of time; the swim lane graph method separates several swimlanes by parallel lines according to the number of participants and event types, each event type of each participant occupies one swimlane, and then each is arranged along the time line. The event-line and event-wall approach has the advantage of being relatively simple to use, but the disadvantage is also apparent, namely the difficulty in identifying key information such as the primary implementation of the strategic event and the event type. Although the swim lane graph method distinguishes the participants and the event types, three disadvantages exist, firstly, the same strategic event can appear in the swim lanes of different participants, and confusion is easy to cause; secondly, two or more strategic events which happen simultaneously are inconveniently represented in one lane; in addition, the lane graph as a whole has a characteristic that most regions are too sparse, and the display space cannot be reasonably utilized.
Disclosure of Invention
In order to solve the technical problems, the invention provides a game analysis-oriented strategic event chain-lapping visualization method, which is used for solving the technical problems that the traditional strategic event visualization method is difficult to identify key information such as a main implementation party, event types and the like, the same event is repeatedly represented, the simultaneous events cannot be represented together, the utilization of a display space is unreasonable and the like.
According to a first aspect of the present invention, a strategic event chaining visualization method oriented to game analysis is provided, the method comprising the following steps:
step S101: acquiring strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
step S102: determining a primary attribute as an attribute indicating the strategic event ordering based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
step S103: creating a clue frame of the strategic event, summarizing the strategic event according to the event topic to which the strategic event belongs, and representing each event topic in the clue frame in a time bar mode, wherein the length of the clue frame is the time span of the event topic;
step S104: creating a participant relation graph, wherein the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are in an antagonistic relation; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
According to a second aspect of the present invention, there is provided a strategic event chaining visualization device for game analysis, the device comprising:
a knowledge graph establishing module: the method comprises the steps of configuring to obtain strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
hanging a module: configured to determine a primary attribute as an attribute indicative of a ranking of the strategic events based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
a clue box creation module: the method comprises the steps that a clue frame of the strategic event is configured to be created, the strategic event is summarized according to an event theme to which the strategic event belongs, each event theme in the clue frame is represented in a time bar mode, and the length of each event theme is the time span of the event theme;
a relationship generation module: the method comprises the steps that a participant relation graph is established, the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are shown as confrontation relations; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
According to the scheme of the invention, the event knowledge graph is constructed by extracting the relevant attributes of the strategic events, the strategic events are hung on the time axis from top to bottom according to the main attribute values, and the strategic event clue frames and the participant relation graph are created, so that the visualization of the strategic events can be effectively improved, more hidden key information can be mined, and the strategic game confrontation and research analysis can be better served.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of a strategic event chaining visualization method for game analysis according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a strategic event knowledge graph according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an embodiment of the present invention;
fig. 4 is a block diagram of a strategic event chaining visualization device for game analysis according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and fully with reference to the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
First, a flow chart of a strategic event chaining visualization method oriented to game analysis according to an embodiment of the present invention is described with reference to fig. 1. As shown in fig. 1, the method comprises the steps of:
step S101: acquiring strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
step S102: determining a primary attribute as an attribute indicating the strategic event ordering based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
step S103: creating a clue frame of the strategic event, summarizing the strategic event according to the event topic to which the strategic event belongs, and representing each event topic in the clue frame in a time bar mode, wherein the length of the clue frame is the time span of the event topic;
step S104: creating a participant relation graph, wherein the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are in an antagonistic relation; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
The step S101: acquiring strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description, and comprise:
in this embodiment, the strategic event attributes are shown in table 1:
TABLE 1 strategic event attributes List
Event attributes Attribute description
Time of occurrence The strategic event occurrence time is in the format of yyyymmdd
Main implementation The main initiator of the strategic event can be country, region or organization
Event type Is divided into three types of military, political and economic
Event topic There may be more than one strategic theme to which the strategic event belongs
Involving parties and effects There may be multiple parts, the influence is divided into positive direction and negative direction, the value is-100 to-100
Importance of events Divided into general events and important events
Event description Within 100 words
Before the knowledge graph of the strategic event is constructed, knowledge graph ontology modeling is required to be carried out, wherein the knowledge graph ontology modeling comprises a strategic event model, a participant model and a theme model. The attributes of the event model comprise strategic event occurrence time, event type, event importance and event description; the participant model is used for representing the initiator or the affected party of the strategic event, and the attribute of the participant model comprises participant description; the topic model represents the topics to which all strategic events are related, and the attributes of the topic model include a topic description.
In this embodiment, a schematic structural diagram of a strategic event knowledge graph is shown in fig. 2, and it should be noted that a strategic event may belong to a plurality of topics, and in addition, a relationship "influence" between the strategic event and a participant has a specific value, where a positive value indicates a positive influence, a negative value indicates a negative influence, and a larger absolute value indicates a larger influence, and a relationship "influence" between the strategic event and the participant is also a specific value between-100 and 100.
The step S102: determining a primary attribute as an attribute indicating the strategic event ordering based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, the contents of the rectangular block are respectively a main implementation party and an event type, and the rectangular block comprises the following steps:
as shown in fig. 3, several strategic events may occur per date, and these strategic events are arranged in a rectangular block from top to bottom, and since the strategic events have multiple attributes, in this embodiment, the user can determine the main attribute as required. Taking the main attribute as an event type as an example, hanging each rectangular block at a corresponding date scale from top to bottom according to specific attribute values of the event type, such as military, politics and economy. In this embodiment, a plurality of main attributes may also be determined, for example, if the first main attribute is determined to be an event type, and the second main attribute is determined to be a main implementation party, then the event types are arranged in sequence from the event type to the main implementation party, where each rectangular block is divided into two regions, the contents are respectively the main implementation party and the event type, the main implementation party is displayed by a flag or a character of a participating party, and the event type is displayed by a color or a character. For important strategic events, the fonts are displayed in bold. When a certain tactical event rectangular block is selected, all attributes and attribute values of the strategic event can be completely displayed in a list form.
Optionally, in this embodiment, the display order may be changed according to the needs of the user, and may be arranged according to the order of the event types, the order of the strategic event main implementation party, or other ways defined by the user.
The step S103: creating a clue frame of the strategic event, summarizing the strategic event according to the event topic to which the strategic event belongs, and representing each event topic in the clue frame in a time bar mode, wherein the length of each event topic is the time span of the event topic, and the clue frame comprises:
as shown in the lower half of fig. 3, all the strategic events are summarized according to the event topics to which they belong, and then are organized in the form of time bars, and the length of the time bars is the time span of the event topics, that is, the time span of the occurrence time of the first strategic event and the last strategic event related to the event topics; when a certain event theme in the strategic event clue box is selected, only strategic events related to the theme are displayed on the time axis.
The step S104: creating a participant relation graph, wherein the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are in an antagonistic relation; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents the closeness of the relationship between the participants, where:
when a certain event theme is selected in the strategic event clue frame, an undirected graph formed by participants related to the theme can be displayed, as shown in the upper half part of fig. 3, nodes are all the participants, and the participants are connected through edges; the dotted and solid lines of the edge represent the relationship between the two participants, the solid lines represent the ally relationship, and the dotted lines represent the confrontational relationship; the thickness of an edge represents how close the relationship between two participants is, i.e., how hard the confrontation is or how firm the coalition is, there is no edge connection between the middle participants. When a participant in the undirected graph is selected, only strategic events of which the participant is the main implementation party are displayed on the time axis.
The false and true of the edge and the thickness of the edge can be uniformly expressed as the edge weight, the positive and negative of the edge weight correspond to the false and true of the edge, and the numerical value of the edge weight corresponds to the thickness of the edge. In the present embodiment, the edge weights are calculated from "involved parties and influences" and "event importance" among all strategic event attributes. For example, assuming that all strategic events are counted, we derive the importance and impact of all events involving both participants as piAnd fi(i ═ 1,2, … …, N), then one of the two partiesThe edge weight between is
Figure BDA0003037564810000071
Where N is the total number of strategic events involving both participants.
The edge weights represent the relationship between the two participants, as shown in table 2.
TABLE 2 corresponding table of edge weight and friend or foe relationship
Side weight value omega Relationship of enemies The deficiency, excess and thickness of the edge
75<ω≤100 Ally member Thick solid line
25<ω≤75 Friend's day Thin solid line
-25≤ω≤25 Neutral (neutral) Is free of
-75≤ω<-25 Object to Thin dotted line
-100≤ω<-75 Enemy Thick dotted line
The embodiment of the invention further provides a game analysis-oriented strategic event chaining type visualization device, as shown in fig. 4, the device comprises:
a knowledge graph establishing module: the method comprises the steps of configuring to obtain strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
hanging a module: configured to determine a primary attribute as an attribute indicative of a ranking of the strategic events based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
a clue box creation module: the method comprises the steps that a clue frame of the strategic event is configured to be created, the strategic event is summarized according to an event theme to which the strategic event belongs, each event theme in the clue frame is represented in a time bar mode, and the length of each event theme is the time span of the event theme;
a relationship generation module: the method comprises the steps that a participant relation graph is established, the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are shown as confrontation relations; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and any simple modification, equivalent change and modification made to the above embodiment according to the technical spirit of the present invention are still within the scope of the technical solution of the present invention.

Claims (5)

1. A strategy event chain-lapping visualization method for game analysis is characterized by comprising the following steps:
step S101: acquiring strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
step S102: determining a primary attribute as an attribute indicating the strategic event ordering based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
step S103: creating a clue frame of the strategic event, summarizing the strategic event according to the event topic to which the strategic event belongs, and representing each event topic in the clue frame in a time bar mode, wherein the length of the clue frame is the time span of the event topic;
step S104: creating a participant relation graph, wherein the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are in an antagonistic relation; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
2. The method according to claim 1, wherein in step S102, each strategic event is hung at the corresponding date scale in the form of a rectangular block, wherein each rectangular block is divided into two regions, the content is a main implementing party and an event type, the main implementing party is shown by flags or characters of participating parties, and the event type is shown by colors or characters; for important strategic events, displaying the fonts in a bold mode; when a certain tactical event rectangular block is selected, all attributes and attribute values of the strategic event can be completely displayed in a list form.
3. The method according to claim 1, wherein step S103 represents each event topic in the thread box in the form of a time bar, wherein the length of the time bar is the time span of the event topic, i.e. the time span of the occurrence time of the first strategic event and the occurrence time of the last strategic event related to the event topic; when a certain event theme in the strategic event clue box is selected, only strategic events related to the theme are displayed on the time axis.
4. The method according to claim 1, wherein step S104 is to create a participant relationship graph, wherein the nodes are participants, and the participants are connected by edges; the dotted and solid lines of the edge represent the relationship between the two participants, the solid lines represent the ally relationship, and the dotted lines represent the confrontational relationship; the thickness of the edge represents the closeness of the relationship between the two participants, namely the degree of the confrontation violence or the stability of the union, and no edge connection exists between the middle participants; the false and true and thickness of the edge can be uniformly expressed as an edge weight, the positive and negative of the edge weight correspond to the false and true of the edge, the numerical value of the edge weight corresponds to the thickness of the edge, and the edge weight is calculated by 'relating to each party and influencing' and 'event importance' in all strategic event attributes; when a participant in the undirected graph is selected, only strategic events of which the participant is the main implementation party are displayed on the time axis.
5. A strategic event overlap-chain type visualization device oriented to game analysis is characterized by comprising:
a knowledge graph establishing module: the method comprises the steps of configuring to obtain strategic events related to game experimental problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, main implementation party, event type, event subject, involved parties and influence, event importance and event description;
hanging a module: configured to determine a primary attribute as an attribute indicative of a ranking of the strategic events based on the knowledge-graph; drawing a time main shaft, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in a rectangular block form; the rectangular block is divided into two areas, and the contents are respectively a main implementation party and an event type;
a clue box creation module: the method comprises the steps that a clue frame of the strategic event is configured to be created, the strategic event is summarized according to an event theme to which the strategic event belongs, each event theme in the clue frame is represented in a time bar mode, and the length of each event theme is the time span of the event theme;
a relationship generation module: the method comprises the steps that a participant relation graph is established, the participant relation graph is an undirected graph, nodes are all participants, and if the participants are connected by dotted lines, the participants are shown as confrontation relations; if the participants are connected by a solid line, the participants and the participants are in an allied relationship; if no edge connection exists between the participants, the participants and the participants keep neutral; the thickness of the edge represents how close the relationship between the participants is.
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