CN105488130A - Associated data visualization display method - Google Patents
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- CN105488130A CN105488130A CN201510828405.9A CN201510828405A CN105488130A CN 105488130 A CN105488130 A CN 105488130A CN 201510828405 A CN201510828405 A CN 201510828405A CN 105488130 A CN105488130 A CN 105488130A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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Abstract
The invention relates to the technical field of internet information processing, in particular to an associated data visualization display method. The method comprises: abstracting associated information of target information into sub-nodes of a corresponding level number, and adding directed edges among the nodes according to pointing relationships among the associated information; and constructing an associative relationship map with the directed edges among the nodes taking the target information as a starting point by using a visualization tool. According to the method, other information associated with the target information can be analyzed from massive associated information data, and an associative mode between an associative path and the nodes is visually displayed by adding the corresponding directed edges among the nodes; and the path is clear, visual and easy to understand, so that the manpower and time costs of users in related data arrangement and analysis are greatly reduced, a reference basis is provided for target information background analysis and mining and related question analysis and tracking, and the method has wide application prospects in the fields of information mining and information processing.
Description
Technical field
The present invention relates to internet information processing technology field, particularly a kind of associated data visual presentation method.
Background technology
This life circle enters the information age for a long time, and along with explosive growth and the accumulation of information, large data age faces recently, as the most important feature of large data: the large and value density of data volume is low is but the difficult problem of puzzlement mass data information excavating utilization like this.In fact in the information ocean of numerous and complicated, contact between some information is often much tight than contacting between other information, and these have that certain information be closely connected often reflects is particular kind of relationship between real-life interpersonal or group, these particular kind of relationships can make it influence each other or pin down to bring potential value or risk to relevant society or economic activity.
For specific information object, the incidence relation how analyzed between this target and other targets has actual meaning in a lot of field, because the target with incidence relation often has larger influence surface than independent simple individuality when carrying out various activity, and the target with incidence relation externally set up various movable time, be subject to mutually pining down or supporting of inner incidence relation, can be more complicated than the event trace of simple target.
Even if will there is the information analysis of incidence relation out by data processing, the also just incidence relation data of formation, and the data of complexity can not show the associated path of related information intuitively; To arrange in these enormous amount and in the data of complexity and the situation that associates of partial objectives for information needs to spend larger manpower and time cost; The related informations at different levels calculated for the target information of a setting may be a lot, and corresponding associated path is also very complicated, only can't analyze related information and complicated associated path intuitively in data plane; And various points relationship can reflect concrete impact or the control situation of relevant information in incidence relation, at Analysis on Issues Related with in following the trail of, there is prior meaning.Especially when carrying out background context to target information and analyzing, interrelational form between target information and related information is one of information of being concerned about the most of analyst, need the different points relationship of different interrelational forms to be represented according to analysis, these points relationships can not be shown intuitively in associated data, affect analysis and the judging efficiency of user.
Summary of the invention
The object of the invention is to overcome above-mentioned deficiency existing in prior art, a kind of associated data visual presentation method is provided; Visualization processing is carried out to the related information data of target information, forms corresponding collection of illustrative plates interface, the displaying of the incidence relation image conversion of visual pattern is provided for user, save the time that user is used for incidence relation data preparation and analysis.For achieving the above object, the related information of target information is abstracted into the child node of corresponding progression by associated data visual presentation method of the present invention, adds directed edge among the nodes according to the points relationship between related information; Visualization tool is used to construct incidence relation collection of illustrative plates to have directed edge between the described target information node that is starting point.
The present invention is on the related information data basis of target information, the related information with points relationship is abstracted into the node of corresponding progression by usage data visualization tool, and between corresponding node, add directed edge according to the points relationship in associated data, form association collection of illustrative plates by target information loaded down with trivial details for complexity association situation displaying with the formal intuition image of collection of illustrative plates, by succinctly, understandable, path is Information Atlas clearly, user easily recognizes the association situation of target information according to association collection of illustrative plates, save the manpower and time cost that expend required for user's disposal data greatly, improve the analysis of relevant information and follow the trail of efficiency.
Further, in described data visualization realization, adoptable visualization tool comprises:
d3 (DataDrivenDocuments), GoogleChartAPI, Visual.ly etc., the instrument that can be used for realizing data visualization is at present a lot, and user can select according to actual conditions.
Further, described associated data visual presentation method comprises following performing step:
(1) target information is defined as 0 grade of node, the once related information of described target information is searched out in associated data, described once related information is abstracted into the child node of corresponding 0 grade of node, and being defined as 1 grade of node, wherein said once related information refers to the information be directly associated with origin information;
(2) calculated 0 grade of node is stamped gravestone mark, from 1 grade of node, in associated data, searches out the once related information of corresponding 1 grade of node, and by its abstract be the child node of corresponding 1 grade of node, and be defined as 2 grades of nodes;
(3) the rest may be inferred, and taking out step by step with target information is the n level node of starting point, and wherein 1≤n >=N, N is the most relevance number of degrees of target information setting, N be not less than 1 positive integer.The association collection of illustrative plates node that the present invention is formed is clear and definite, and path is clear.
Further, described step (1), (2) and, or in (3), between n-1 level node and n level node, add limit according to the incidence relation in target information associated data; Form incidence relation collection of illustrative plates.
Further, described step (1), (2) and, or (3) in search related information expanding node time, in accordance with breadth First principle.
Preferred as one, its visualization process is: center target information being placed in visual figure; The node of identical progression is dispersed in one circumferentially, and is centered around the outside of the circle that even higher level of node surrounds.
Further, in described association collection of illustrative plates, use different colors and, or difformity distinguishes node at different levels.
Further, in described association collection of illustrative plates, use different colours and, or difformity distinguishes dissimilar node.
Compared with prior art, beneficial effect of the present invention: a kind of associated data visual presentation method of the present invention, according to the related information data of target information, related information is abstracted into the node of corresponding progression, by describing the key-value pair of incidence relation, visualization tool is utilized to construct node centered by target information, with the incidence relation collection of illustrative plates that each degree related information is son joint at different levels, and in point spread process, corresponding directed edge is added among the nodes according to the points relationship between information, there is between final formation node the incidence relation collection of illustrative plates of directed edge, associated path is clear, interrelational form between node is clear and definite, succinctly understandable, visual in image, simplify target information incidence relation to analyze and the building process associating approach, greatly facilitate the arrangement for relevant issues and tracking, save user needs input manpower and time cost in data analysis and arrangement stage.Take at data message, target information context analyzer, the fields such as related question tracking and analysis have broad application prospects.
Accompanying drawing illustrates:
Fig. 1 is the related information schematic diagram data in embodiment 1 and embodiment 2 with points relationship.
Fig. 2 is by digitized for points relationship related information schematic diagram data in embodiment 1 and embodiment 2.
Fig. 3 is the implementation procedure figure of the associated data visual presentation method of embodiment 1 and embodiment 2.
Fig. 4 is the two related information collection of illustrative plates being target information with first information A realized in embodiment 1.
Fig. 5 is the two degree of related information collection of illustrative plates being target information with the second information B realized in embodiment 1.
Fig. 6 is the two degree of related information collection of illustrative plates being target information with the 5th information E realized in embodiment 1.
Fig. 7 is the two related information collection of illustrative plates being target information with first information A realized in embodiment 2.
Fig. 8 is the two degree of related information collection of illustrative plates being target information with the second information B realized in embodiment 2.
Fig. 9 is the two degree of related information collection of illustrative plates being target information with the 5th information E realized in embodiment 2.
Embodiment
Below in conjunction with test example and embodiment, the present invention is described in further detail.But this should be interpreted as that the scope of the above-mentioned theme of the present invention is only limitted to following embodiment, all technology realized based on content of the present invention all belong to scope of the present invention.
A kind of associated data visual presentation method is provided; Visualization processing is carried out to the related information data of target information, forms corresponding collection of illustrative plates interface, the displaying of the incidence relation image conversion of visual pattern is provided for user, save the time that user is used for incidence relation data preparation and analysis.For achieving the above object, the related information of target information is abstracted into the child node of corresponding progression by associated data visual presentation method of the present invention, adds directed edge among the nodes according to the points relationship between related information; Visualization tool is used to construct incidence relation collection of illustrative plates to have directed edge between the described target information node that is starting point.
The present invention is on the related information data basis of target information, the related information with points relationship is abstracted into the node of corresponding progression by usage data visualization tool, and between corresponding node, add directed edge according to the points relationship in associated data, form association collection of illustrative plates by target information loaded down with trivial details for complexity association situation displaying with the formal intuition image of collection of illustrative plates, by succinctly, understandable, path is Information Atlas clearly, user easily recognizes the association situation of target information according to association collection of illustrative plates, save the manpower and time cost that expend required for user's disposal data greatly, improve the analysis of relevant information and follow the trail of efficiency.
Further, in described associated data visual presentation method, adoptable visualization tool comprises:
d3 (DataDrivenDocuments), GoogleChartAPI, Visual.ly etc., the instrument that can be used for realizing data visualization is at present a lot, and user can select as required.
Further, described associated data visual presentation method comprises following performing step:
(1) target information is defined as 0 grade of node, from 0 grade of node, from related information data, searches for the related information of target information, by its abstract be the child node of this 0 grade of node, and be defined as 1 grade of node;
(2) calculated 0 grade of node is stamped gravestone mark and (namely when next stage related information is searched for, no longer calculate this node; Such way effectively can avoid the appearance of closed path duplicate paths, ensure that association collection of illustrative plates refining is succinct), search out the related information of each 1 grade of node, and by its abstract be the child node of correspondence 1 grade of node, and be defined as 2 grades of nodes, and each 1 grade of node is stamped gravestone mark;
(3) the rest may be inferred, and taking out step by step with target information is the n level node of starting point, wherein 1≤n >=N.
Further, described step (1), (2) and, or in (3), between n-1 level node and n level node, add directed edge according to incidence relation, form the association collection of illustrative plates between node with directed edge.Demonstrate the interrelational form between the association approach of related information and node more clearly, for relevant issues are followed the trail of, provide succinctly distinct analysis approach; Compared to nonoriented edge connected node, the association collection of illustrative plates that the present invention is formed demonstrates more abundant data content.And the interpolation of directed edge makes clear and definite the showing in collection of illustrative plates of the interrelational form between node, each node is associated in collection of illustrative plates again and shows more concrete and clear and definite on the situation that affects of its adjacent node; The interrelational form that user can represent according to directed edge when carrying out track problems and analyzing, tracks certain concrete node or key node, helps user to assess correlation circumstance better faster.
Further, described step (1), (2) and, or (3) in search related information expanding node time, in accordance with breadth First principle.The order of breadth First principle expanding node be all nodes on certain one deck are all searched after just one deck search downwards; The benefit of such expanding node is, the collection of illustrative plates formed expanding node step by step centered by target information, user selects the highest number of association collection of illustrative plates node shown according to the needs of analysis depth, within the progression selected, the whole node of more enough displays and there will not be omission, facilitates user to obtain full dose data in required progression as required.Generally, when carrying out related information and analyzing, the correlation degree of the information that correlation dimension is lower and target information is higher, on the impact of target information or to pin down possibility also maximum, in corresponding association collection of illustrative plates, the incidence relation of the node that progression is less and 0 grade of node is tightr, by the point spread principle of breadth First, the order increased gradually according to node progression from 0 grade of node successively searches for complete downward primary expansion child node again, ensure that more important information is more not easy to occur omitting, ensure that the complete accuracy of spectrum data.
Preferred as one, its visualization process is: center target information being placed in visual figure; The node of identical progression is dispersed in one circumferentially, and is centered around the outside of the circle that even higher level of node surrounds.Such collection of illustrative plates display mode, node stereovision is very strong, facilitates user intuitively to understand the related information distribution situation of target information; The display form of association collection of illustrative plates can be varied, such as using target information as root node, diffuse layer by layer node, form tree node collection of illustrative plates, preferably by every grade of Node distribution, at one, circumferentially collection of illustrative plates is well arranged in the present invention, and logical path is clear, interface is clean and tidy, is convenient to Analysis on Issues Related and arrangement.
Further, in described association collection of illustrative plates, use different colors and, or difformity distinguishes node at different levels.The node of different stage corresponding color or shape are represented, is convenient to user and distinguishes accordingly, make the information that shows in the association collection of illustrative plates of node abundanter, analyze more directly perceived succinct.
Further, in described association collection of illustrative plates, use different colours and, or difformity distinguishes dissimilar node.Relevant field according to user is arranged, the node type that the related information extracted is corresponding may be different, such as enterprise is that target information is when analyzing its background, corresponding investor or shareholder may be enterprises is also likely nature person, by these dissimilar nodes use different colours and or shape represent, be convenient to user and carry out corresponding to distinguish, so be convenient to according to step with node type carry out classification and the tracking of relevant issues.
Embodiment 1
Extract through field (field of setting comprises: the first field, the second field, the 3rd field, the 4th field, the 5th field and the 6th field) in raw data, extract 3 data records.Using content corresponding for the first field as target information, using the once related information of content corresponding to the second field, the 3rd field, the 4th field, the 5th field and the 6th field as target information.Wherein the first field of comprising of the first data record, second field, 3rd field and the information content corresponding to the 4th field are followed successively by: first information A, second information B, 3rd information C, 4th information D, wherein using content (first information A) corresponding for the first field as target information, it is two-way points relationship between first information A and the second information B, i.e. A<->B, 3rd information C points to the first information: C-> A, first information A points to the 4th information D:A-> D, the first field comprised in Article 2 data record, the second field, the 3rd field, the 4th field, the 5th field and the information content corresponding to the 6th field are followed successively by: the second information B, the 3rd information C, the 5th information E, the 6th information F, the 7th information G and the 8th information H, and the points relationship of relevant related information is as follows: B ← C, B ← E, B → F, B → G, B ← H, the first field comprised in Article 3 information, the second field, the 3rd field, the 4th field and the information content corresponding to the 5th field are followed successively by: the 5th information E, the 9th information I, the tenth information J, the 11 information K and the 12 information L, the points relationship of relevant related information is as follows: E ← I, E → J, E → K, E ← L.Using content (i.e. first information A, the second information B, the 5th information E) corresponding for the first field of above-mentioned information as target information, and using the related information of other information in data record as target information, related information tables of data as shown in Figure 1 can be formed, when carrying out relevant collection of illustrative plates and drawing, when carrying out association collection of illustrative plates and drawing in order to make points relationship be convenient to identify, points relationship between information is carried out digitized representations or mark, such as positive sense relation is represented with " 1 ", points relationship will be born represent with " 0 ", mutual points relationship is represented with " 2 ", form relation information tables of data as shown in Figure 2, the points relationship of the digitized representation correspondence relationship information wherein in the 3rd row, by marking accordingly and digitized representations, when carrying out the point spread associating collection of illustrative plates, by searching for corresponding points relationship mark, add corresponding directed edge among the nodes.Related information data separate visualization tool described in Fig. 1, Fig. 2 is depicted as the implementation procedure of the association collection of illustrative plates of corresponding target information as shown in Figure 3.
If information (first information A, the second information B, the 5th information E) corresponding for the first field is drawn association collection of illustrative plates respectively as target information, be abstracted into 0 grade of node in corresponding association collection of illustrative plates.
For first information A for target information illustrates collection of illustrative plates implementation procedure.Adopt range optimum principle, from the association associated data table described in Fig. 2, search out the related information of described first information A: the second information B, the 3rd information C, the 4th information D; Described second information B, the 3rd information C, the 4th information D are abstracted into 1 grade of child node of corresponding 0 grade of node (first information A), and between described A node (first information A corresponding node) and B node (the second information B corresponding node), add two-way limit (A ← → B) respectively according to the points relationship in Fig. 3, between A node and C node, add reverse edge C-> A, between A node and D node, add forward limit; After 1 grade of node searching expansion, first information A corresponding node is stamped gravestone mark.
Corresponding related information is searched out respectively from described second information B, the 3rd information C, the 4th information D, described second information B has related information: the 3rd information C, 5th information E, 6th information F and the 7th information G and the 8th information H, by described 3rd information C, 5th information E, 6th information F and the 7th information G and the 8th information H is abstracted into the child node of the corresponding 1 grade of node of the second information B in collection of illustrative plates, and the incidence relation according to Fig. 3 adds reverse edge between B node and C node, reverse edge is added between B node and E node, forward limit is added between B node and F node, forward limit is added between B node and G node, reverse edge is added between B node and H node, and the node defining these new expansions is 2 grades of nodes of 0 grade of node.Calculated described second information B, the 3rd information C, the 4th information D are stamped gravestone mark.Until be that all nodes that starting point searches out step by step all stamp gravestone mark from first information A, stop calculating.
Use the visualization tools such as such as D3, GoogleChartAPI centered by 0 node that first information A is corresponding, expand child node step by step, by the periphery of next stage point spread to a upper node; The association collection of illustrative plates of final formation centered by target information.In fact the degree related information for each target information may be multiple, and along with associating the increase of the number of degrees, expansion related information is out more; Many degree related information collection of illustrative plates all can be expanded out according to said process step by step.Same passes through above-mentioned extended method, forms the incidence relation collection of illustrative plates of 0 grade of node centered by target information; By above-mentioned the Visual Implementation process, formed and be two degree of 0 grade of node with first information A and associate collection of illustrative plates as shown in Figure 4, formed with the second information B be two degree of 0 grade of node association collection of illustrative plates as shown in Figure 5, being formed with the 5th information E is that two degree of 0 grade of node associate collection of illustrative plates as shown in Figure 6.Centered by the second information B with the 5th information E, the implementation associating collection of illustrative plates of node is identical with principle and said process respectively, does not repeat them here.Each node circular pattern in the present embodiment and corresponding informance mark represent.
Embodiment 2
Embodiment 1 basis on, in order to distinguish node at different levels further, 0 grade of node, 1 grade of node and 2 grades of nodes are represented with square pattern, circular pattern and argyle design respectively, formed in the present embodiment with the first information A 2 grades of association collection of illustrative plates that are target information as shown in Figure 7, the 2 grades of association collection of illustrative plates being target information with the second information B as shown in Figure 8, the 2 grades of association collection of illustrative plates being target information with the 5th information E as shown in Figure 9, can find out by different patterns, make the differentiation of node at different levels obvious, Path Logical is more clear.Further, different colors can also be used to distinguish different node types, such as type corresponding to data message in associated data comprises the first kind, Second Type and the 3rd type, then node pattern corresponding to the first kind, Second Type and the 3rd type can be filled by red, blue and yellow respectively in association collection of illustrative plates, make the information content associating collection of illustrative plates displaying abundanter, straightforward, improves analysis efficiency; Other implementation procedures of the present embodiment are identical with embodiment 1, do not repeat them here.
Although be described the illustrative embodiment of the present invention above; so that the technician of this technology neck understands the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various change to limit and in the spirit and scope of the present invention determined, apparent during these changes, all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.
Claims (9)
1. an associated data visual presentation method, is characterized in that, the related information of target information is abstracted into the child node of corresponding progression, adds directed edge among the nodes according to the points relationship between related information; Visualization tool is used to construct incidence relation collection of illustrative plates to have directed edge between the described target information node that is starting point.
2. associated data visual presentation method as claimed in claim 1, is characterized in that, comprise following performing step:
(1) target information is defined as 0 grade of node, in associated data, searches out the once related information of described target information, described once related information is abstracted into the child node of corresponding 0 grade of node, and is defined as 1 grade of node;
(2) calculated 0 grade of node is stamped gravestone mark, from 1 grade of node, in associated data, searches out corresponding once related information, and by its abstract be the child node of corresponding 1 grade of node, and new expanding node is defined as 2 grades of nodes;
(3) the rest may be inferred, and taking out step by step with target information is the n level node of starting point.
3. associated data visual presentation method as claimed in claim 2, it is characterized in that, described visualization tool is:
d3, GoogleChartAPI or Visual.ly.
4. associated data visual presentation method as claimed in claim 3, is characterized in that, described step (1), (2) and, or search for related information in (3) when carrying out point spread, in accordance with breadth First principle.
5. associated data visual presentation method as claimed in claim 4, it is characterized in that, described step (1), (2) and, or in (3), according to the points relationship of related information, between corresponding node, add directed edge, form the association collection of illustrative plates between node with directed edge.
6. associated data visual presentation method as claimed in claim 5, it is characterized in that, its visualization process is: center target information being placed in visual figure; The node of identical progression is dispersed in one circumferentially, and is centered around the outside of the circle that even higher level of node surrounds.
7. associated data visual presentation method as claimed in claim 6, is characterized in that, in described association collection of illustrative plates, use different colors and, or difformity distinguishes node at different levels.
8. associated data visual presentation method as claimed in claim 7, is characterized in that, in described association collection of illustrative plates, use different colours and, or difformity distinguishes dissimilar node.
9. the associated data visual presentation method as described in one of claim 1 to 8, is characterized in that, described association collection of illustrative plates point spread progression n sets according to user's actual needs.
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