CN113297388B - Strategic event chained visualization method oriented to game analysis - Google Patents
Strategic event chained visualization method oriented to game analysis Download PDFInfo
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Abstract
The invention provides a strategic event chained visualization method oriented to game analysis, which comprises the following steps: acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; determining a main attribute based on the knowledge graph; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; creating a clue frame of the strategic event, summarizing the strategic event according to the event subject to which the strategic event belongs, and representing each event subject in the clue frame in a time bar form; a participant relationship graph is created. According to the scheme provided by the invention, the visualization intuitiveness of the strategic event visualization can be effectively improved, and more hidden key information can be mined, so that strategic game countermeasure and research analysis can be better served.
Description
Technical Field
The invention relates to the field of data processing and visualization, in particular to a strategic event chained visualization method oriented to game analysis.
Background
Strategic gaming is based on statistics, carding, analysis and prediction of the course and trend of the strategic problem development according to a certain experimental mode and analysis method based on related data and strategic events of the military, politics, economy and other fields of each participant aiming at specific strategic problems. In implementing strategy gaming, it is critical to mine as much information as possible from a number of strategy 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 to sequentially arrange all strategic events along a time line according to the occurrence sequence; most of event wall methods also display strategic events in a block area in time sequence, and usually, map matching is carried out, so that the method is suitable for displaying large events in a period of time; the lane diagram method separates lanes with parallel lines, one for each event type of each participant, according to the number of participants and event types, and then each is arranged along a timeline. The event line and event wall approach has the advantage of being relatively simple to use, but has the disadvantage of being very obvious, i.e. it is not easy to identify key information such as the main implementation of the strategic event and the event type. The lane diagram method, although distinguishing between participants and event types, has three disadvantages, firstly, the same strategic event may appear in lanes of different participants, which is easy to confuse; secondly, two or more strategic events which occur simultaneously are inconvenient to express in one lane; in addition, the whole lane diagram also shows the characteristic that most areas 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 strategic event chained visualization method oriented to game analysis, which is used for solving the technical problems that key information such as a main implementation party and event types, repeated representation of the same event, incapability of jointly representing the event which happens simultaneously, unreasonable utilization of display space and the like are difficult to identify by the traditional strategic event visualization method.
According to a first aspect of the present invention, there is provided a game analysis oriented strategy event piggybacking visualization method, the method comprising the steps of:
step S101: acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
step S102: determining a main attribute based on the knowledge graph, wherein the main attribute is used as an attribute for indicating the strategic event sequencing; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is 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 topics to which the strategic event belongs, and representing each event topic in the clue frame in a time bar form, wherein the length of each event topic is the time span of the event topic;
step S104: creating a participant relationship graph, wherein the participant relationship graph is a non-directional graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
According to a second aspect of the present invention, there is provided a game analysis oriented strategy event lapping visualization apparatus, the apparatus comprising:
and a knowledge graph building module: the method comprises the steps of acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
and (3) a hanging module: configured to determine, based on the knowledge-graph, a primary attribute as an attribute indicative of the strategic event ordering; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is respectively a main implementation party and an event type;
a clue frame creation module: the method comprises the steps of configuring a clue frame for creating the strategic events, summarizing the strategic events according to the event topics to which the strategic events belong, and representing each event topic in the clue frame in the form of a time bar, wherein the length of each event topic is the time span of the event topic;
the relation generation module: the method comprises the steps of configuring to create a participant relationship graph, wherein the participant relationship graph is an undirected graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
According to the scheme, the event knowledge graph is constructed by extracting the related 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 frame and the participant relationship graph are created, so that the visualization intuitiveness of the strategic events can be effectively improved, more hidden key information can be mined, and the strategic game countermeasure and research analysis can be better served.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, illustrate the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a strategy event piggybacking visualization method for game analysis according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a strategic event knowledge graph according to one embodiment of the present invention;
FIG. 3 is a schematic representation of an embodiment of the present invention;
FIG. 4 is a block diagram of a strategic event piggyback visualization device oriented to gaming analysis in accordance with one 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 clearly and completely described below with reference to specific embodiments of the present invention and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A schematic event-lapped visualization method for game analysis according to one embodiment of the present invention is first 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 experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
step S102: determining a main attribute based on the knowledge graph, wherein the main attribute is used as an attribute for indicating the strategic event sequencing; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is 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 topics to which the strategic event belongs, and representing each event topic in the clue frame in a time bar form, wherein the length of each event topic is the time span of the event topic;
step S104: creating a participant relationship graph, wherein the participant relationship graph is a non-directional graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
The step S101: acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes include strategic event occurrence time, main implementation, event type, event topic, related parties and effects, event importance and event description, including:
in this embodiment, the strategic event attributes are shown in table 1:
TABLE 1 strategic event attribute list
| Event attributes | Attribute description |
| Time of occurrence | Strategic event occurrence time, in the format yyyymmdd |
| Main implementation party | The main initiator of strategic event can be country, region or organization |
| Event type | Is divided into three types of military, political and economic |
| Event topics | The strategic subject to which the strategic event belongs may have a plurality of |
| Involving all parties and influences | There may be multiple directions, the influence is divided into positive and negative directions, and the value is between-100 and 100 |
| Event importance | Divided into general events and important events |
| Description of events | Within 100 words |
Before the knowledge graph of the strategic event is constructed, knowledge graph ontology modeling needs to be performed, including 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 to represent the initiator or affected party of the strategic event, and the attributes thereof include participant descriptions; the topic model represents topics that all strategic events will involve, and its attributes include topic descriptions.
In this embodiment, the schematic structure of the strategic event knowledge graph is shown in fig. 2, and it should be noted that the strategic event may be attributed to multiple topics, and the relationship "influence" between the strategic event and the participants has a specific value, between-100 and 100, where positive values indicate positive effects, negative values indicate negative effects, and larger absolute values indicate larger effects.
The step S102: determining a main attribute based on the knowledge graph, wherein the main attribute is used as an attribute for indicating the strategic event sequencing; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, the content is respectively a main implementation party and an event type, and the rectangular block comprises:
as shown in fig. 3, several strategic events may occur per date, and these strategic events are arranged from top to bottom in the form of rectangular blocks, and since the strategic events have a plurality of attributes, in this embodiment, the user can determine the main attribute as required. Taking the main attribute as an event type as an example, each rectangular block is hung at a corresponding date scale from top to bottom according to the specific attribute value of the event type, such as military, politics and economy. In this embodiment, a plurality of main attributes may also be determined, for example, it is determined that the first main attribute is an event type, and the second main attribute is a main embodiment, and then, when sorting, the first event type and then the second main attribute are arranged in the order of the main embodiment, where each rectangular block is divided into two areas, the content is the main embodiment and the event type, the main embodiment is displayed with a flag or text of the participant, and the event type is displayed with a color or text. For important strategic events, fonts are displayed in bolded form. When a certain strategic 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, or may be arranged according to the order of the event types, or may be arranged according to the order of the main embodiment of the strategic event, or may be arranged according to other manners customized by the user.
The step S103: creating a clue frame of the strategic event, summarizing the strategic event according to the event topics to which the strategic event belongs, and representing each event topic in the clue frame in a time bar form, wherein the length of each event topic is the time span of the event topic, and the time span is as follows:
as shown in the lower part of fig. 3, all strategic events are summarized according to the event subject to which they belong, and then are organized in the form of time bars, the length of which is the time span of the event subject, namely the span of the occurrence time of the first strategic event and the last strategic event related to the event subject; when a certain event topic in the strategic event clue frame is selected, only strategic events related to the topic are displayed on a time axis.
The step S104: creating a participant relationship graph, wherein the participant relationship graph is a non-directional graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties, wherein:
when a certain event theme is selected in the strategic event clue frame, an undirected graph formed by the participants related to the theme can be displayed, and as shown in the upper half part of fig. 3, the nodes are all the participants, and the participants are connected through edges; the virtual reality of the edge represents the relationship between two participants, the solid line represents the alliance relationship, and the dotted line represents the antagonism relationship; the thickness of an edge represents the degree of tightness of the relationship between two parties, i.e. the degree of resistance or the degree of stability of the federation, with no edge connection between the parties. When a certain participant in the undirected graph is selected, only strategic events of which the participant is the dominant implementation party are displayed on a time axis.
The false and the true of the edge can be uniformly expressed as edge weights, the positive and the negative of the edge weights correspond to the false and the true of the edge, and the numerical value of the edge weights corresponds to the thickness of the edge. In this embodiment, the edge weights are calculated from "involve parties and influence" and "event importance" among all strategic event attributes. For example, assuming that statistics are performed on all strategic events, the importance and impact of all events involving two participants are found to be p i And f i (i=1, 2, … …, N), then the edge weight between the two parties is
Where N is the total number of strategic events involving two participants.
The edge weights represent the relationship between the two participants as shown in table 2.
Table 2 side weight and hostile relationship correspondence table
| Edge weight omega value | Friend-to-foe relationship | Deficiency and excess and thickness of edges |
| 75<ω≤100 | Alliance friends | Thick solid line |
| 25<ω≤75 | Friend(s) | Thin solid line |
| -25≤ω≤25 | Neutral position | Without any means for |
| -75≤ω<-25 | Against the object | Thin dashed line |
| -100≤ω<-75 | Hostile to | Thick dotted line |
The embodiment of the invention further provides a strategic event chained visualization device facing game analysis, as shown in fig. 4, the device comprises:
and a knowledge graph building module: the method comprises the steps of acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
and (3) a hanging module: configured to determine, based on the knowledge-graph, a primary attribute as an attribute indicative of the strategic event ordering; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is respectively a main implementation party and an event type;
a clue frame creation module: the method comprises the steps of configuring a clue frame for creating the strategic events, summarizing the strategic events according to the event topics to which the strategic events belong, and representing each event topic in the clue frame in the form of a time bar, wherein the length of each event topic is the time span of the event topic;
the relation generation module: the method comprises the steps of configuring to create a participant relationship graph, wherein the participant relationship graph is an undirected graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
The above description is only of the preferred embodiments of the present invention, and is not intended to limit the present invention in any way, but any simple modification, equivalent variation and modification made to the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.
Claims (5)
1. The strategic event chained visualization method for game analysis is characterized by comprising the following steps of:
step S101: acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
step S102: determining a main attribute based on the knowledge graph, wherein the main attribute is used as an attribute for indicating the strategic event sequencing; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is 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 topics to which the strategic event belongs, and representing each event topic in the clue frame in a time bar form, wherein the length of each event topic is the time span of the event topic;
step S104: creating a participant relationship graph, wherein the participant relationship graph is a non-directional graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
2. The method according to claim 1, wherein in step S102, each strategic event is hung at a corresponding date scale in the form of rectangular blocks, wherein each rectangular block is divided into two areas, the content is a main implementation and an event type, the main implementation is shown in a flag or text of a participant, and the event type is shown in a color or text; for important strategic events, fonts are displayed in a bolded form; when a certain strategic 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 each event topic in the cue box is represented in the form of a time bar in step S103, and the length of the time bar is the time span of the event topic, that is, the span of the occurrence time of the first strategic event and the last strategic event related to the event topic; when a certain event topic in the strategic event clue frame is selected, only strategic events related to the topic are displayed on a time axis.
4. The method according to claim 1, wherein in step S104, a participant relationship graph is created, the nodes are participants, and the participants are connected by edges; the virtual reality of the edge represents the relationship between two participants, the solid line represents the alliance relationship, and the dotted line represents the antagonism relationship; the thickness of the edges represents the tightness degree of the relationship between the two participants, namely the intensity degree of antagonism or the stability degree of alliance, and the neutral sides are not connected by the edges; the false and the true of the edge and the thickness can be uniformly expressed as edge weights, the positive and the negative of the edge weights correspond to the false and the true of the edge, the numerical value of the edge weights corresponds to the thickness of the edge, and the edge weights are calculated by 'involving all parties and influence' and 'event importance' in all strategic event attributes; when a certain participant in the undirected graph is selected, only strategic events of which the participant is the dominant implementation party are displayed on a time axis.
5. A strategic event piggybacking visualization device oriented to gaming analysis, the device comprising:
and a knowledge graph building module: the method comprises the steps of acquiring strategic events related to game experiment problems, extracting attributes of the strategic events, and constructing a knowledge graph of the strategic events; the attributes comprise strategic event occurrence time, a main implementation party, event types, event topics, parties involved and influence, event importance and event description;
and (3) a hanging module: configured to determine, based on the knowledge-graph, a primary attribute as an attribute indicative of the strategic event ordering; drawing a time spindle, and hanging each strategic event at a corresponding date scale from top to bottom according to the attribute value of the main attribute in the form of a rectangular block; the rectangular block is divided into two areas, and the content is respectively a main implementation party and an event type;
a clue frame creation module: the method comprises the steps of configuring a clue frame for creating the strategic events, summarizing the strategic events according to the event topics to which the strategic events belong, and representing each event topic in the clue frame in the form of a time bar, wherein the length of each event topic is the time span of the event topic;
the relation generation module: the method comprises the steps of configuring to create a participant relationship graph, wherein the participant relationship graph is an undirected graph, nodes are all participants, and if the participants are connected by a dotted line, the participants represent that the participants are in a countermeasure relationship; if the participants are connected by solid lines, the participants are allied; if the participants are connected without edges, the participants are kept neutral; the thickness of the edges represents the degree of tightness of the relationship between the parties.
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