CN111104568A - Enterprise stock right relation deep search method and device, computer equipment and storage medium - Google Patents

Enterprise stock right relation deep search method and device, computer equipment and storage medium Download PDF

Info

Publication number
CN111104568A
CN111104568A CN201911301421.7A CN201911301421A CN111104568A CN 111104568 A CN111104568 A CN 111104568A CN 201911301421 A CN201911301421 A CN 201911301421A CN 111104568 A CN111104568 A CN 111104568A
Authority
CN
China
Prior art keywords
shareholder
intimacy
enterprise
tree
current
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201911301421.7A
Other languages
Chinese (zh)
Other versions
CN111104568B (en
Inventor
冼东亮
李柏
李如先
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Qianhai Huanrong Lianyi Information Technology Service Co Ltd
Original Assignee
Shenzhen Qianhai Huanrong Lianyi Information Technology Service Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Qianhai Huanrong Lianyi Information Technology Service Co Ltd filed Critical Shenzhen Qianhai Huanrong Lianyi Information Technology Service Co Ltd
Priority to CN201911301421.7A priority Critical patent/CN111104568B/en
Publication of CN111104568A publication Critical patent/CN111104568A/en
Application granted granted Critical
Publication of CN111104568B publication Critical patent/CN111104568B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9027Trees

Abstract

The invention discloses a method and a device for deeply searching enterprise stock right relationship, computer equipment and a storage medium, and relates to the technical field of search. The method comprises the following steps: inquiring all stockholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the current stockholder depth; continuously inquiring the next grade shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder; repeating the steps until the stockholders at the bottommost layer are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the stockholder at the bottommost layer; displaying the searched shareholders at all levels of the target enterprise in a tree structure, and displaying the current shareholder depth and the shareholder intimacy at the nodes of the tree. The invention can conveniently carry out deep analysis and display on the equity relationship of the enterprise.

Description

Enterprise stock right relation deep search method and device, computer equipment and storage medium
Technical Field
The invention relates to the technical field of search, in particular to a method and a device for deeply searching enterprise stock right relation, computer equipment and a storage medium.
Background
In the prior art, generally, the search for the enterprise equity relationship is carried out based on a single enterprise main body, if the number of shareholders of the head enterprise is large and the association is complex, the shareholders of the enterprise main body need to be frequently inquired, and the association intimacy of the head enterprise is compared with the association intimacy of the head enterprise one by one according to a plurality of factors such as the natural shareholders share proportion, enterprise shareholders, share proportion and the like, so that the deep analysis and display of the enterprise equity relationship are very inconvenient.
In view of the above problems with the prior art, there is a need for optimization and improvement of the prior art.
Disclosure of Invention
The embodiment of the invention provides a method and a device for deeply searching enterprise stock right relationships, computer equipment and a storage medium, and aims to solve the problem that in the prior art, the search of enterprise stock right relationships is inconvenient to deeply analyze and display.
In a first aspect, an embodiment of the present invention provides a deep search method for enterprise equity relationship based on a tree, including:
receiving a business name of a target business input by a user;
inquiring all shareholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
continuously inquiring the next grade shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
repeating the steps until the stockholders at the bottommost layer are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the stockholder at the bottommost layer;
displaying the searched shareholders at all levels of the target enterprise in a tree structure, and displaying the current shareholder depth and the shareholder intimacy at the nodes of the tree.
Preferably, the calculating the affinity of each shareholder according to the inquired share proportion of each shareholder includes:
acquiring the share proportion of each shareholder at the current level to the shareholder at the previous level;
and taking the share proportion as the intimacy between the current shareholder and the shareholder above the current shareholder.
Preferably, the method further comprises the following steps:
and calculating the intimacy between each shareholder and the target enterprise according to the intimacy between each shareholder.
Preferably, the calculating the intimacy degree of each shareholder with the target enterprise according to the intimacy degree of each shareholder includes:
taking the target shareholder as the current shareholder, and acquiring the intimacy between the current shareholder and the shareholder at the previous level;
taking the current shareholder as the current shareholder, and then obtaining the intimacy between the current shareholder and the previous shareholder;
repeating the steps until the intimacy between the stockholder of the target enterprise and the target enterprise is obtained;
and multiplying the obtained share proportion of each shareholder with the share proportion of the shareholder at the previous level to obtain the intimacy between the target shareholder and the target enterprise.
Preferably, the method further comprises the following steps:
and if the intimacy between the target shareholder and the target enterprise is greater than the preset value, judging that the target shareholder is a high intimacy shareholder, and highlighting the equity relationship between the high intimacy shareholder and the target enterprise.
Preferably, the preset value is 0.3.
Preferably, the highlighting of the equity relationship between the high-affinity shareholders and the target enterprise includes:
highlighting the positions of all shareholders between the high-intimacy shareholders and the target enterprise at the nodes of the tree;
and highlighting connecting lines of all stockholders between the high-intimacy stockholders and the target enterprise among the nodes of the tree.
In a second aspect, an embodiment of the present invention provides a deep search apparatus for enterprise equity relationship based on a tree, including:
the receiving unit is used for receiving the enterprise name of the target enterprise input by the user;
the first searching unit is used for inquiring all stockholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the current stockholder depth;
the second searching unit is used for continuously inquiring the next-level shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
the third searching unit is used for analogizing until the lowest layer of stockholders are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the lowest layer of stockholders;
and the output unit is used for displaying the searched shareholders at each level of the target enterprise in a tree structure, and displaying the current shareholder depth and the intimacy of the shareholders at the nodes of the tree.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements the tree-based deep search method for enterprise equity relations according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the deep search method for enterprise equity relationship based on trees according to the first aspect.
The embodiment of the invention provides a method, a device, computer equipment and a storage medium for deeply searching enterprise stock right relation, wherein the method comprises the following steps: receiving a business name of a target business input by a user; inquiring all shareholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder; continuously inquiring the next grade shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder; repeating the steps until the stockholders at the bottommost layer are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the stockholder at the bottommost layer; displaying the searched shareholders at all levels of the target enterprise in a tree structure, and displaying the current shareholder depth and the shareholder intimacy at the nodes of the tree. By the method, the enterprise stock right relationship can be conveniently and deeply analyzed and displayed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a tree-based deep search method for enterprise equity relations according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a deep search apparatus for enterprise equity relation based on tree according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present 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.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a schematic flow chart of a tree-based deep search method for enterprise equity relationship according to an embodiment of the present invention, where the method includes steps S101 to S105:
s101, receiving an enterprise name of a target enterprise input by a user;
first, a user may enter a business name for a target business, and then a deep search for business equity relationships may be conducted based on the business name.
S102, inquiring all stockholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the current stockholder depth;
in this step, all stakeholders of the target enterprise may be queried at the data provider according to the enterprise name, and since the share percentage of each shareholder in the target enterprise is different and the share percentage is different, the representative has a different intimacy with the target enterprise, for example, if the share percentage is large, the representative has a large intimacy, and if the share percentage is small, the representative has a small intimacy. Therefore, the share proportion of each shareholder to the target enterprise can be obtained, and the intimacy of each shareholder is calculated according to the share proportion. In addition, the current stockholder depth needs to be recorded. Shareholder depth refers to which level the shareholder currently queried is. For example, the shareholder queried in such a step should be at the first level of the target enterprise, i.e., the shareholder depth is the first level, and the shareholder at the first level may be referred to as the immediate shareholder of the target enterprise. The intimacy referred to in this step refers to the intimacy between the current stockholder and the stockholder at the previous level or the target enterprise, for example, the intimacy between the current stockholder and the target enterprise.
S103, continuously inquiring the next grade of shareholders of all the shareholders at the data provider, calculating the intimacy of all the shareholders according to the inquired share proportion of all the shareholders, and recording the current depth of the shareholders;
in this step, all stakeholders at the next level of each shareholder may be queried at the data provider according to each shareholder queried in step S102. Similarly, the different share proportion of the next-level shareholder in the current shareholder means that the intimacy degree of each next-level shareholder and the current shareholder is different, for example, if the share proportion is large, the intimacy degree is large, and if the share proportion is small, the intimacy degree is small.
Therefore, the share proportion of all shareholders at the next level to the current shareholders can be obtained, and the intimacy of each shareholder can be calculated according to the share proportion. In addition, the current stockholder depth needs to be recorded. For example, the shareholder at the next level queried in such a step should be at the level of the second level of the target enterprise, i.e., the shareholder depth is the second level.
S104, repeating the steps until the stockholders at the bottommost layer are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the stockholder at the bottommost layer;
the steps can be continued until the lowest shareholder is inquired, and then the share proportion of the lowest shareholder to the shareholder on the level above the lowest shareholder is obtained, so that the intimacy of each shareholder is calculated. Finally, the lowest shareholder depth is recorded.
And S105, displaying the searched shareholders at all levels of the target enterprise in a tree structure, and displaying the current shareholder depth and the intimacy of the shareholders at the nodes of the tree.
In the embodiment of the invention, stockholders at all levels of the target enterprise can be displayed in a tree structure, and the current stockholder depth and the parent density of the stockholders can be displayed on each node of the tree, so that a user can intuitively know the parent density of each direct stockholder of the target enterprise and the target enterprise, and can know which stockholder is the stockholder at the deep level of each direct stockholder and the corresponding parent density.
In an embodiment, the calculating the affinity of each shareholder according to the inquired share proportion of each shareholder includes:
acquiring the share proportion of each shareholder at the current level to the shareholder at the previous level;
and taking the share proportion as the intimacy between the current shareholder and the shareholder above the current shareholder.
In this embodiment, the manner of calculating the intimacy is to obtain the share proportion of each shareholder at the current level to the shareholder at the previous level, and then directly use the share proportion as the intimacy between the shareholder at the current level and the shareholder at the previous level.
For example, taking a target enterprise as an example, it has two direct stakeholders: the shareholder A and the shareholder B, wherein the shareholder A accounts for 20% of the stock of the target enterprise, and the shareholder B accounts for 80% of the stock of the target enterprise, so that the intimacy between the shareholder A and the target enterprise is 0.2, and the intimacy between the shareholder B and the target enterprise is 0.8.
Further, shareholder a includes two shareholders: shareholder a1 and shareholder a2, wherein shareholder a1 comprises 30% of shareholder a, wherein shareholder a2 comprises 70% of shareholder a, then the affinity of shareholder a1 with shareholder a is 0.3 and the affinity of shareholder a2 with shareholder a is 0.7. Wherein the shareholder B comprises two shareholders: shareholder B1 and shareholder B2, wherein shareholder B1 comprises 40% of shareholder B, wherein shareholder B2 comprises 60% of shareholder B, then the intimacy between shareholder B1 and shareholder B is 0.4, and the intimacy between shareholder B2 and shareholder B is 0.6.
In an embodiment, the deep search method for enterprise equity relationship based on tree further includes:
and calculating the intimacy between each shareholder and the target enterprise according to the intimacy between each shareholder.
The embodiment of the invention can not only calculate the intimacy between two adjacent shareholders, but also calculate the intimacy between the shareholders at each level and the target enterprise. This allows for a degree of closeness between the stakeholders and the target enterprise at each level.
In an embodiment, the calculating the intimacy degree of each shareholder with the target enterprise according to the intimacy degree of each shareholder includes:
taking the target shareholder as the current shareholder, and acquiring the intimacy between the current shareholder and the shareholder at the previous level;
taking the current shareholder as the current shareholder, and then obtaining the intimacy between the current shareholder and the previous shareholder;
repeating the steps until the intimacy between the stockholder of the target enterprise and the target enterprise is obtained;
and multiplying the obtained share proportion of each shareholder with the share proportion of the shareholder at the previous level to obtain the intimacy between the target shareholder and the target enterprise.
In this embodiment, the intimacy between the shareholders at adjacent levels is continuously obtained, and then the intimacy between the target shareholders and the target enterprise can be obtained by multiplying the computed intimacy.
For example, taking the target enterprise in the above example as an example, it has two direct stakeholders: shareholder a and shareholder B, the shareholder a comprising two shareholders: shareholder a1 and shareholder a2, shareholder B comprising two shareholders: stockholder B1 and stockholder B2. The intimacy between the shareholder A and the target enterprise is 0.2, and the intimacy between the shareholder B and the target enterprise is 0.8. The intimacy between stockholder a1 and stockholder a was 0.3, and the intimacy between stockholder a2 and stockholder a was 0.7. The intimacy between stockholder B1 and stockholder B was 0.4, and the intimacy between stockholder B2 and stockholder B was 0.6.
Then the intimacy between shareholder a1 and the target business is 0.3 × 0.2 ═ 0.06, the intimacy between shareholder a2 and the target business is 0.7 × 0.2 ═ 0.14, the intimacy between shareholder B1 and the target business is 0.4 × 0.8 ═ 0.32, and the intimacy between shareholder B2 and the target business is 0.6 ═ 0.8 ═ 0.48. From the above, the degree of closeness between shareholder B2 and the target enterprise is the greatest and the closest.
In an embodiment, the deep search method for enterprise equity relationship based on tree further includes:
and if the intimacy between the target shareholder and the target enterprise is greater than the preset value, judging that the target shareholder is a high intimacy shareholder, and highlighting the equity relationship between the high intimacy shareholder and the target enterprise.
According to the method, the intimacy between the shareholder at each level and the target enterprise can be calculated, the intimacy represents the closeness degree between the shareholder and the target enterprise, if the intimacy is larger than a preset value, the corresponding shareholder is a high intimacy shareholder, and therefore the equity relationship between the high intimacy shareholder and the target enterprise can be highlighted.
In one embodiment, the predetermined value is 0.3.
Specifically, the preset value may be defaulted by the system, or may be customized by the user. In the embodiment of the present invention, the preset value is preferably 0.3, and as in the foregoing example, the shareholder B1 and the shareholder B2 are high-affinity shareholders of the target enterprise.
In one embodiment, the highlighting of the equity relationship between the high-affinity shareholders and the target enterprise includes:
highlighting the positions of all shareholders between the high-intimacy shareholders and the target enterprise at the nodes of the tree;
and highlighting connecting lines of all stockholders between the high-intimacy stockholders and the target enterprise among the nodes of the tree.
That is, in the embodiment of the present invention, the shareholder between the high-affinity shareholder and the target enterprise is highlighted at the node of the tree, and the connection line between the nodes is highlighted, so that the user can see how the shareholder has the equity relationship with the target enterprise at a glance. Further, as for the embodiment of the high-affinity shareholder, the embodiment of the present invention may perform a thickening process on the connection lines between the nodes, and may also perform a coloring process on the connection lines between the nodes, where the thickening process is to thicken the connection lines, and the coloring process is to color the connection lines. Of course, the connection line may be subjected to both the thickening process and the coloring process.
The highlighting of the position of the node of the tree may specifically be a coloring process of the node, such as green or red coloring. In addition, the colored object may be a character on the node, or may be an area where the character on the node is located.
Since the stock control between the high-intimacy stockholder and the target enterprise may need to be performed through multiple layers of stockholders, in a practical situation, if a certain stockholder is the high-intimacy stockholder, all the stockholders in the upper layer of the stockholder are the high-intimacy stockholder.
In the embodiment of the invention, stockholders of the target enterprise are possibly scattered, and the stock occupying proportion is very diluted, so that in this case, the condition that the intimacy between the stockholders and the target enterprise is greater than the preset value may not exist, that is, the target enterprise does not have high intimacy stockholders. For the above situation, in order to facilitate the user to know the shareholder with more shares of the target enterprise, the embodiment of the present invention may perform other processing.
In one embodiment, the deep search method for enterprise equity relationship based on tree includes:
when the target enterprise is detected to have no high-intimacy stockholders, a plurality of direct stockholders with the largest stock occupying proportion of the target enterprise are obtained, and the stock occupying proportion of the obtained direct stockholders meets the following requirements: the sum of the strand occupying proportion is greater than the preset value and is minimum; and highlighting a number of direct stakeholders corresponding to the tree.
The advantage of this is that the user can conveniently view several main direct stockholders of the target enterprise, and the sum of the stock proportion of the direct stockholders is larger than the preset value, which is equivalent to that the direct stockholders are actually the high-intimacy stockholders of the target enterprise as a whole.
In one embodiment, the deep search method for enterprise equity relationship based on tree includes:
displaying nodes of a predetermined number of levels of the tree;
and when a moving instruction for the tree is received, correspondingly displaying nodes of other series of the tree.
That is, in the embodiment of the present invention, all nodes of the tree are not directly displayed, because if the number of levels of the nodes of the fruit tree is large, the content that needs to be displayed is too much, and the nodes at each level extend in the same direction, the occupied layout is too much, and the content of each node cannot be cleared, so that the embodiment of the present invention can only display the nodes at the predetermined number of levels of the tree, and the content of the nodes can be conveniently displayed in a proper size. When the user wishes to view nodes that are not currently displayed, the tree can be moved so that nodes of other levels can be viewed on the current interface. Regardless of whether only a predetermined number of levels of nodes are viewed on the current interface if the tree is moved.
In addition, when the nodes of the preset levels of the tree are displayed, all the nodes of the levels of the tree are also displayed through a thumbnail, and the thumbnail is only small in size and cannot be used for seeing the details inside. For convenience of viewing and positioning by a user, a box can be displayed on the thumbnail, and the position of the box on the thumbnail is the position of the current interface in the whole tree. When a moving instruction for the tree is received, the position of the box on the thumbnail is synchronously moved, so that a user can clearly know the relative position of the node of the currently displayed tree in the whole tree.
In one embodiment, the deep search method for enterprise equity relationship based on tree includes:
and when an instruction of moving the box by the user is received, synchronously moving the position of the tree under the current interface.
If the tree is overall long, efficiency may be low if only moving the tree to view nodes of different levels on the tree, so that the embodiment of the present invention may allow a user to directly move a box, thereby achieving the purpose of moving the tree quickly, and allowing the user to view nodes of other levels.
In one embodiment, the deep search method for enterprise equity relationship based on tree includes:
and when an amplifying instruction of the thumbnail from the user is received, directly amplifying the thumbnail and covering the tree displayed on the current interface.
That is, in the embodiment of the present invention, since the thumbnail facilitates to locate the node of the tree, after the node is located to the approximate position, the thumbnail can be directly enlarged to display the node that the user wishes to view, and at this time, the thumbnail can be enlarged to cover the tree displayed on the current interface (i.e., the tree displaying the nodes of the predetermined number of stages).
And when a reduction instruction of the user for the enlarged thumbnail is received, directly reducing the enlarged thumbnail and restoring to the initial state, and simultaneously restoring the tree displayed on the current interface.
That is, the user can reduce the enlarged thumbnail and restore the tree displayed before the current interface.
The zooming in and out can be realized by a double-click command or by a gesture operation, for example, the two fingers are pulled apart to zoom in, and the two fingers are retracted to zoom out.
Referring to fig. 2, fig. 2 is a schematic block diagram of an apparatus 200 for deep search of enterprise equity relation based on tree according to an embodiment of the present invention, where the apparatus 200 may include:
a receiving unit 201, configured to receive a business name of a target business input by a user;
a first search unit 202, configured to query all stakeholders of the target enterprise at a data provider according to the enterprise name, calculate an affinity of each shareholder according to a stock proportion of each queried shareholder, and record a current depth of the shareholder;
the second searching unit 203 is used for continuously inquiring the next grade shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of the shareholder;
the third searching unit 204 is configured to repeat the above steps until the bottom shareholder is found, calculate the intimacy degree of each shareholder according to the share proportion of each found shareholder, and record the depth of the bottom shareholder;
and the output unit 205 is configured to display the searched shareholders at each level of the target enterprise in a tree structure, and display the current depth of the shareholders and the intimacy of the shareholders at a node of the tree.
In an embodiment, the second search unit 203 comprises:
the acquisition unit is used for acquiring the share proportion of each shareholder at the current level to the shareholder at the previous level;
and the collecting and distributing unit is used for taking the share proportion as the intimacy between the current shareholder and the shareholder above the current shareholder.
In an embodiment, the tree-based deep search apparatus for enterprise equity relationship further includes:
and the target enterprise intimacy calculating unit is used for calculating the intimacy between each shareholder and the target enterprise according to the intimacy between each shareholder and the target enterprise.
In one embodiment, the target enterprise intimacy degree calculation unit includes:
the initial calculation unit is used for taking the target shareholder as the current shareholder and acquiring the intimacy between the current shareholder and the shareholder at the previous level;
the adjacent calculation unit is used for taking the shareholder at the previous level as the current shareholder and then acquiring the intimacy between the current shareholder and the shareholder at the previous level;
the circulation unit is used for analogizing until the intimacy between the stockholder of the target enterprise and the target enterprise is obtained;
and the multiplying unit is used for multiplying the obtained share proportion of each shareholder with the share proportion of the shareholder at the previous level to obtain the intimacy between the target shareholder and the target enterprise.
In an embodiment, the tree-based deep search apparatus for enterprise equity relationship further includes:
and the highlight display unit is used for judging that the target shareholder is a high-intimacy shareholder and highlighting the equity relationship between the high-intimacy shareholder and the target enterprise if the intimacy between the target shareholder and the target enterprise is greater than a preset value.
In one embodiment, the predetermined value is 0.3.
In one embodiment, the highlight unit includes:
the node highlighting unit is used for highlighting all shareholders between the high-intimacy shareholders and the target enterprise at the positions of the nodes of the tree;
and the connecting line highlighting unit is used for highlighting the connecting lines of all the stockholders between the high-affinity stockholders and the target enterprise among the nodes of the tree.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.
The invention also provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, is adapted to implement the method provided by the above-mentioned embodiments. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The invention also provides a computer device, which may include a memory and a processor, wherein the memory stores a computer program, and the processor may implement the method provided by the above embodiment when calling the computer program in the memory. Of course, the computer device may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. A deep search method for enterprise equity relation based on a tree is characterized by comprising the following steps:
receiving a business name of a target business input by a user;
inquiring all shareholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
continuously inquiring the next grade shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
repeating the steps until the stockholders at the bottommost layer are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the stockholder at the bottommost layer;
displaying the searched shareholders at all levels of the target enterprise in a tree structure, and displaying the current shareholder depth and the shareholder intimacy at the nodes of the tree.
2. The tree-based deep search method for enterprise equity relationship according to claim 1, wherein said calculating affinity of each shareholder according to the inquired share proportion of each shareholder comprises:
acquiring the share proportion of each shareholder at the current level to the shareholder at the previous level;
and taking the share proportion as the intimacy between the current shareholder and the shareholder above the current shareholder.
3. The tree-based deep search method for enterprise equity relations according to claim 2, further comprising:
and calculating the intimacy between each shareholder and the target enterprise according to the intimacy between each shareholder.
4. The tree-based deep search method for equity relationships in enterprises according to claim 3, wherein the calculating the intimacy degree of each shareholder with the target enterprise according to the intimacy degree of each shareholder comprises:
taking the target shareholder as the current shareholder, and acquiring the intimacy between the current shareholder and the shareholder at the previous level;
taking the current shareholder as the current shareholder, and then obtaining the intimacy between the current shareholder and the previous shareholder;
repeating the steps until the intimacy between the stockholder of the target enterprise and the target enterprise is obtained;
and multiplying the obtained share proportion of each shareholder with the share proportion of the shareholder at the previous level to obtain the intimacy between the target shareholder and the target enterprise.
5. The tree-based deep search method for enterprise equity relations according to claim 4, further comprising:
and if the intimacy between the target shareholder and the target enterprise is greater than the preset value, judging that the target shareholder is a high intimacy shareholder, and highlighting the equity relationship between the high intimacy shareholder and the target enterprise.
6. The tree-based deep search method for enterprise equity relations of claim 5, wherein said predetermined value is 0.3.
7. The tree-based deep search method for equity relations between businesses as claimed in claim 5, wherein said highlighting of equity relations between high affinity stakeholders and target businesses comprises:
highlighting the positions of all shareholders between the high-intimacy shareholders and the target enterprise at the nodes of the tree;
and highlighting connecting lines of all stockholders between the high-intimacy stockholders and the target enterprise among the nodes of the tree.
8. A deep search device for enterprise equity relation based on tree is characterized by comprising:
the receiving unit is used for receiving the enterprise name of the target enterprise input by the user;
the first searching unit is used for inquiring all stockholders of the target enterprise at a data provider according to the enterprise name, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the current stockholder depth;
the second searching unit is used for continuously inquiring the next-level shareholder of each shareholder at the data provider, calculating the intimacy of each shareholder according to the inquired share proportion of each shareholder, and recording the current depth of each shareholder;
the third searching unit is used for analogizing until the lowest layer of stockholders are inquired, calculating the intimacy of each stockholder according to the inquired stock proportion of each stockholder, and recording the depth of the lowest layer of stockholders;
and the output unit is used for displaying the searched shareholders at each level of the target enterprise in a tree structure, and displaying the current shareholder depth and the intimacy of the shareholders at the nodes of the tree.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the tree-based deep search method for enterprise equity relations according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, implements the tree-based deep search method for enterprise equity relations according to any one of claims 1 to 7.
CN201911301421.7A 2019-12-17 2019-12-17 Deep searching method and device for enterprise equity relationship, computer equipment and storage medium Active CN111104568B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911301421.7A CN111104568B (en) 2019-12-17 2019-12-17 Deep searching method and device for enterprise equity relationship, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911301421.7A CN111104568B (en) 2019-12-17 2019-12-17 Deep searching method and device for enterprise equity relationship, computer equipment and storage medium

Publications (2)

Publication Number Publication Date
CN111104568A true CN111104568A (en) 2020-05-05
CN111104568B CN111104568B (en) 2023-06-09

Family

ID=70422077

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911301421.7A Active CN111104568B (en) 2019-12-17 2019-12-17 Deep searching method and device for enterprise equity relationship, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN111104568B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449128A (en) * 2021-06-29 2021-09-28 平安资产管理有限责任公司 Picture generation method and related device for displaying key stock right structure
CN114201663A (en) * 2021-07-23 2022-03-18 北京恒通慧源大数据技术有限公司 Group customer mining method and device based on label propagation and electronic equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050004813A1 (en) * 2003-06-06 2005-01-06 Gvelesiani Aleksandr L. Method of graphical presentation of relationships between individuals, business entities, and organizations
US20180225389A1 (en) * 2017-02-03 2018-08-09 The Dun & Bradstreet Corporation System and method of creating different relationships between various entities using a graph database
CN108664582A (en) * 2018-05-04 2018-10-16 苏州朗动网络科技有限公司 Querying method, device, computer equipment and the storage medium of business connection
CN109271426A (en) * 2018-10-10 2019-01-25 中科鼎富(北京)科技发展有限公司 Enterprise's association relationship analysis method, device and computer readable storage medium
CN109389303A (en) * 2018-09-28 2019-02-26 苏州朗动网络科技有限公司 Querying method, device, computer equipment and the storage medium of business connection

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050004813A1 (en) * 2003-06-06 2005-01-06 Gvelesiani Aleksandr L. Method of graphical presentation of relationships between individuals, business entities, and organizations
US20180225389A1 (en) * 2017-02-03 2018-08-09 The Dun & Bradstreet Corporation System and method of creating different relationships between various entities using a graph database
CN108664582A (en) * 2018-05-04 2018-10-16 苏州朗动网络科技有限公司 Querying method, device, computer equipment and the storage medium of business connection
CN109389303A (en) * 2018-09-28 2019-02-26 苏州朗动网络科技有限公司 Querying method, device, computer equipment and the storage medium of business connection
CN109271426A (en) * 2018-10-10 2019-01-25 中科鼎富(北京)科技发展有限公司 Enterprise's association relationship analysis method, device and computer readable storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449128A (en) * 2021-06-29 2021-09-28 平安资产管理有限责任公司 Picture generation method and related device for displaying key stock right structure
CN113449128B (en) * 2021-06-29 2024-04-05 平安资产管理有限责任公司 Picture generation method and related device for displaying key equity structure
CN114201663A (en) * 2021-07-23 2022-03-18 北京恒通慧源大数据技术有限公司 Group customer mining method and device based on label propagation and electronic equipment

Also Published As

Publication number Publication date
CN111104568B (en) 2023-06-09

Similar Documents

Publication Publication Date Title
US9454528B2 (en) Method and system for creating ordered reading lists from unstructured document sets
CN107729426A (en) One kind selects room method, apparatus, server and system
CN108920611B (en) Article generation method, device, equipment and storage medium
JP2009259284A (en) Method of querying structure of compressed data
CN105096363A (en) Picture editing method and picture editing device
CN111104568A (en) Enterprise stock right relation deep search method and device, computer equipment and storage medium
CN108563792B (en) Image retrieval processing method, server, client and storage medium
CN105279275A (en) Point list configuration method of dispatch master station end
US20140039875A1 (en) Visual analysis of phrase extraction from a content stream
CN111078955B (en) Searching method and device based on unidirectional linked list, computer equipment and storage medium
US20130097494A1 (en) Method and system for visual cues to facilitate navigation through an ordered set of documents
KR100751276B1 (en) System and method for supplying patent map be able to grasp correlation degree between data
JP2004538553A5 (en)
US20230095578A1 (en) Systems and methods for spatially-indexing agricultural content
CN103793469A (en) Data inquiry statistics method and data inquiry statistics system
JP2006155344A (en) Data analyzer, data analysis program, and data analysis method
CN105205042A (en) Automatic account report generating method and system
CN115639993A (en) Visual modeling platform and method based on WEB dynamic layout
CN111046247B (en) Directed graph-based depth search method and device, computer equipment and storage medium
CN110895745B (en) Method and device for polling to obtain task, computer equipment and storage medium
CN111080343B (en) House source searching method and system based on multiple users
CN113190946A (en) Method and related device for displaying switch information by distribution network line distribution diagram
CN112860725A (en) SQL automatic generation method and device, storage medium and electronic equipment
KR20190044284A (en) Method of automatically generating input file of marxan with zones from shapefile
KR102437184B1 (en) System for multidimensional visualization of large-scale analysis data and method for multidimensional visualization of large-scale analysis thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant