CN115618119A - Enterprise relation analysis method, device, equipment and readable storage medium - Google Patents
Enterprise relation analysis method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses an enterprise relationship analysis method, an enterprise relationship analysis device, enterprise relationship analysis equipment and a readable storage medium, and relates to the technical field of electronic information, wherein the method comprises the following steps: the method comprises the steps of obtaining public information of each enterprise, wherein the public information comprises stock right information, legal person information and high management information; analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise; and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise. The method and the device solve the technical problem that the integrity of the enterprise relationship is low at present.
Description
Technical Field
The present application relates to the field of electronic information technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for enterprise relationship analysis.
Background
With the economic transformation, more and more enterprises are operated across regions, industries and groups, and the relationship among the enterprises is also complicated. At present, the association relation between enterprises is obtained mainly by inquiring enterprise websites, such as enterprise investigation, sky-eye investigation and the like, however, the method can only show direct connection between the enterprises and cannot show indirect connection between the enterprises, and the analysis factor of the direct connection is single, and the direct connection is often analyzed only according to the investment condition, but the relation between the enterprises can be determined not only according to the investment condition, so that the integrity of the enterprise relation is low.
Disclosure of Invention
The present application mainly aims to provide an enterprise relationship analysis method, an enterprise relationship analysis device, an enterprise relationship analysis apparatus, and a readable storage medium, and aims to solve the technical problem of low integrity of the existing enterprise relationship.
In order to achieve the above object, the present application provides an enterprise relationship analysis method, where the enterprise relationship analysis method includes:
the method comprises the steps of obtaining public information of each enterprise, wherein the public information comprises stock right information, legal person information and high management information;
analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise;
and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise.
Optionally, the step of analyzing the equity information, the corporate information, and the high management information to obtain a target data set of each enterprise includes:
performing stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data among the enterprises;
inquiring the legal person job information and legal person stock holding information of each enterprise according to the legal person information to obtain legal person data among the enterprises;
according to the high management information, determining organization architecture data of each enterprise;
and merging the share data, the legal person data and the organization architecture data to generate the target data set.
Optionally, the step of performing a stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data between the enterprises includes:
according to the stock right information, performing upward and/or downward penetration analysis on each enterprise to obtain a penetration result;
and if the penetration result is detected to reach a preset penetration layer number threshold value, generating the share data.
Optionally, the step of inputting each target data set into a preset enterprise relationship model and outputting a relationship chain between each enterprise includes:
inputting each target data set into the preset enterprise relation model to generate an enterprise relation matrix;
and connecting the enterprises according to the enterprise relation matrix to obtain the relation chain.
Optionally, the step of connecting the enterprises according to the enterprise relationship matrix to obtain the relationship chain includes:
determining the connection relation between the enterprises according to the enterprise relation matrix;
and connecting the related enterprises according to the connection relation to obtain the relation chain.
Optionally, after the step of inputting each target data set into a preset enterprise relationship model and outputting a relationship chain between the enterprises, the method further includes:
obtaining an intersection detection result by performing intersection detection on the relation chain;
and adjusting the layout view corresponding to the relationship chain according to the intersection detection result so as to carry out visualization.
Optionally, the step of adjusting the layout view corresponding to the relationship chain according to the intersection detection result to perform visualization includes:
determining intersection point coordinates in the layout according to the intersection detection result;
and adjusting the intersection point coordinates to generate a relationship diagram of each enterprise, and visualizing the relationship diagrams.
In addition, to achieve the above object, the present application also provides an enterprise relationship analysis device, including:
the system comprises an acquisition public information module, a management information module and a management information module, wherein the acquisition public information module is used for acquiring public information of each enterprise, and the public information comprises stock right information, legal person information and high management information;
the multidimensional analysis module is used for analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise;
and the relation chain generation module is used for inputting each target data set into a preset enterprise relation model and outputting a relation chain between each enterprise.
Optionally, the multidimensional analysis module is further configured to:
performing stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data among the enterprises;
inquiring the legal person job information and legal person stock holding information of each enterprise according to the legal person information to obtain legal person data among the enterprises;
according to the high management information, determining organization architecture data of each enterprise;
and merging the share data, the legal person data and the organization architecture data to generate the target data set.
Optionally, the multidimensional analysis module is further configured to:
according to the stock right information, performing upward and/or downward penetration analysis on each enterprise to obtain a penetration result;
and if the penetration result is detected to reach a preset penetration layer number threshold value, generating the share data.
Optionally, the generate relationship chain module is further configured to:
inputting each target data set into the preset enterprise relationship model to generate an enterprise relationship matrix;
and connecting the enterprises according to the enterprise relation matrix to obtain the relation chain.
Optionally, the generate relationship chain module is further configured to:
determining the connection relation between the enterprises according to the enterprise relation matrix;
and connecting the related enterprises according to the connection relation to obtain the relation chain.
Optionally, the enterprise relationship analysis device is further configured to:
performing intersection detection on the relation chain to obtain an intersection detection result;
and adjusting the layout view corresponding to the relationship chain according to the intersection detection result so as to perform visualization.
Optionally, the enterprise relationship analysis apparatus is further configured to:
determining the coordinates of the intersection points in the layout according to the intersection detection result;
and adjusting the intersection point coordinates to generate a relation graph of each enterprise, and visualizing the relation graph.
The present application further provides an enterprise relationship analysis device, the enterprise relationship analysis including: the system comprises a memory, a processor and an enterprise relationship analysis program stored on the memory and capable of running on the processor, wherein the enterprise relationship analysis program realizes the steps of the enterprise relationship analysis method when being executed by the processor.
The present application further provides a readable storage medium, on which an enterprise relationship analysis program is stored, and when executed by a processor, the enterprise relationship analysis program implements the steps of the enterprise relationship analysis method as described above.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the enterprise relationship analysis method as described above.
Compared with the current enterprise relationship analysis mode by inquiring enterprise websites, the enterprise relationship analysis method, the enterprise relationship analysis device, the enterprise relationship analysis equipment and the readable storage medium firstly acquire the public information of each enterprise, wherein the public information comprises stock right information, legal information and high management information; analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise; and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise. This application is through analyzing the enterprise relation from the three dimension of equity information, legal person information and high management information, thereby generate the relation chain between each enterprise, the purpose of direct and indirect relation between the multi-dimensional analysis enterprise has been realized, overcome because of the direct relation that the enterprise website only showed between the enterprise, can not show the indirect relation between the enterprise, and the analytic factor of this direct relation is more single, often only analyze according to the investment situation, but the relation between the enterprise is just can confirm by the investment situation not only, thereby the integrality that has leaded to the enterprise relation is lower, therefore, the integrality of enterprise relation has been improved.
Drawings
Fig. 1 is a schematic flowchart of a first embodiment of an enterprise relationship analysis method according to the present application;
FIG. 2 is a schematic diagram of a matrix involved in the enterprise relationship analysis method of the present application;
FIG. 3 is a schematic diagram of an enterprise relationship chain involved in the enterprise relationship analysis method of the present application;
FIG. 4 is a schematic diagram of an apparatus involved in the enterprise relationship analysis method of the present application;
fig. 5 is a schematic device structure diagram of a hardware operating environment involved in the enterprise relationship analysis method according to the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying figures are described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. 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 application.
At present, the association relation between enterprises is obtained mainly by inquiring enterprise websites, such as enterprise investigation, sky investigation and the like, however, the method can only show direct connection between enterprises and cannot show indirect connection between enterprises, and the analysis factor of the direct connection is single, and the analysis is usually carried out only according to the investment condition, but the relation between enterprises can be determined not only according to the investment condition, so that the integrity of the enterprise relation is low.
In a first embodiment of the enterprise relationship analysis method of the present application, referring to fig. 1, the enterprise relationship analysis method includes:
step S10, public information of each enterprise is obtained, wherein the public information comprises stock right information, legal person information and high management information;
step S20, analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise;
and S30, inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise.
In this embodiment, it should be noted that, considering that the most important three factors of an enterprise are equity, corporate and organization architecture, in this embodiment, three dimensions of equity information, corporate information and high-management information are selected to analyze each enterprise, a core enterprise exists in each enterprise, and the other enterprises except the core enterprise are related enterprises, and the core enterprise refers to an enterprise having a direct or indirect connection relationship with other enterprises and is also an enterprise with key query; the public information refers to information which is disclosed by an enterprise and can be directly obtained from enterprise inquiry websites, enterprise official networks, enterprise data management platforms and other ways, such as enterprise names, registered capital, business addresses, business ranges, legal representatives (legal persons for short in the application), high management staff and the like; the target data set is a data set generated by the stock right information, the legal person information and the high management information; the preset enterprise relation model is used for constructing a relation chain among enterprises, and a recursive chain graph depth-first algorithm model can be selected.
As an example, steps S10 to S30 include: the method comprises the steps of obtaining public information of each enterprise, wherein the public information comprises stock right information, legal person information and high management information, the stock right information can comprise disclosed stock right information such as stockholder information, stock holding types and stock holding proportions, the legal person information can comprise disclosed legal person information such as legal person names, legal person introduction and legal person positions, and the high management information refers to basic information of high-level management personnel of each enterprise, such as names, introduction, positions and management departments; firstly, carrying out stock right penetration on the stock right information to obtain stock occupation data among enterprises, then inquiring the job information and stock holding information of a legal person according to the legal person information to obtain legal person data, and finally constructing an organization architecture topological graph of each enterprise according to the job information and management department information in the high management information to obtain organization architecture data of each enterprise, and merging the stock occupation data, the legal person data and the organization architecture data into a target data set; inputting each target data set into a recursive chain graph depth-first algorithm model to obtain an enterprise relation matrix, and analyzing the incidence relation among the enterprises according to the enterprise relation matrix so as to construct a relation chain among the enterprises.
The step of analyzing the stock right information, the corporate information and the high management information to obtain a target data set of each enterprise comprises:
step S21, carrying out stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data among the enterprises;
step S22, inquiring the legal person job information and legal person stock holding information of each enterprise according to the legal person information to obtain legal person data among the enterprises;
step S23, determining organization architecture data of each enterprise according to the high management information;
and S24, merging the share data, the legal person data and the organization architecture data to generate the target data set.
In this embodiment, it should be noted that the share data refers to share data of each enterprise in the corresponding total enterprise and the corresponding sub-enterprise; the corporate data comprises corporate job data and corporate holdings data of each enterprise, the corporate job data can comprise job data of a corporate in a main enterprise of the corporate job data and job data of other enterprises, and the corporate holdings data refers to equity data held by the corporate in each enterprise; the organizational structure data refers to the overall organizational structure data of each enterprise, and the data can be obtained from an organizational structure topological graph constructed by high-level management information.
As one example, steps S21 to S24 include: according to the stock right information, carrying out upward and/or downward stock right penetration on each enterprise according to a preset penetration layer number threshold value to generate stock occupation data among the enterprises, wherein the stock right penetration refers to accurate analysis of a stock right structure behind each enterprise, and can penetrate into a stock total enterprise upwards or sub-enterprises downwards; inquiring past due information of the legal person of each enterprise and holdup information of the legal person in each enterprise according to the legal person information to obtain legal person data among the enterprises; according to the position information and the management department information in the high management information, constructing an organization architecture topological graph of each enterprise so as to obtain organization architecture data of each enterprise; merging the share data, the corporate data and the organization architecture data to generate the target data set, wherein the target data set corresponds to each enterprise one by one.
For example, referring to fig. 3, assuming that the core enterprise is a, its directly related child enterprises are B, C, D, and its directly related total enterprise is E, the share data of a in B, C, D is 20%, 40%, respectively, which is the first layer downward share penetration, the share data of E in a is 100%, which is the first layer upward share penetration, then according to the respective share information of B, C, D, the upward and/or downward share penetration of B, the upward and/or downward share penetration of C, and the upward and/or downward share penetration of D, which is the second layer share penetration of a, is performed, considering that the deeper the number of penetrating layers, the shallower the genetic relationship between enterprises, an appropriate preset penetrating layer number threshold is set, when the penetrating layer number is obtained, the penetrating is stopped, and the share data at this time is { E → a,100%; a → B,20%; a → C,40%; a → D,40% }, if the legal person a of A is queried, querying the respective job information and stock holding information of a in A, B, C, D and E, such as { a → A (representing that a plays the role in A); a → E; a → F, if the holding of a in a, B, C is 90%, 20%, 10%, respectively, it can be expressed as { a → a,90%; a → B,20%; a → C,10% }, where F is not associated with a in stock break through, but a is incumbent in a and F, it is understood that two businesses can be considered to be associated if they do not have a stock right association but a corporate owner for one business has an ownership in the other business, and that a corporate owner does not have an ownership in the other business if they do not have a stock right association but the corporate owner has a stock in both businesses, and equally both businesses can be considered to be associated; then, according to the job information and the management department information in the high management information of A, B, C, D and E, an organization architecture topological graph of A, B, C, D and E is constructed, so as to obtain the organization architecture data of A, B, C, D and E, and if the organization architecture of A is assumed to be { board of director → board of director department, director → delivery department, manager → administrative department, assistant manager → back office }, the arbitrary job information and holdup information of each high manager can be inquired as well; the final share data { E → A,100%; a → B,20%; a → C,40%; a → D,40% }, legal data { a → A; a → E; a → F } { a → A,90%; a → B,20%; a → C,10% } and organization and architecture data { board of board → board department, chief executive → delivery department, manager → administrative department, assistant manager → back office } are merged to get the target data set of A.
The step of performing stock right penetration analysis on the enterprises according to the stock right information to generate stock data among the enterprises includes:
step S211, performing upward and/or downward penetration analysis on each enterprise according to the stock right information to obtain a penetration result;
step S212, if it is detected that the penetration result reaches a preset penetration layer number threshold, generating the share data.
In this embodiment, it should be noted that, as the deeper the number of penetrating layers, the shallower the relationship between businesses, i.e., the relationship between businesses, in order to make the obtained relationship chains all be important related businesses, a threshold value of the number of penetrating layers may be set, where related businesses within the threshold value are important related businesses, and related businesses exceeding the threshold value are unimportant related businesses.
As an example, steps S211 to S212 include: according to the stock right information of core enterprises, performing first-layer upward and/or downward stock right penetration on the core enterprises to obtain penetration results, wherein the penetration results are used for representing the penetration layer number of each enterprise; and after the first layer of right penetration is finished, performing second layer of right penetration until the number of penetrating layers, namely the penetrating result reaches a preset penetrating layer number threshold value, generating share occupation data of all enterprises in the penetrating layer number in the core enterprise, wherein the preset penetrating layer number threshold value can be set to be three layers or four layers, and can also be set to be other layers.
Inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise, wherein the step of outputting the relationship chain comprises the following steps:
step S31, inputting each target data set into the preset enterprise relationship model to generate an enterprise relationship matrix;
and S32, connecting the enterprises according to the enterprise relation matrix to obtain the relation chain.
In this embodiment, it should be noted that the preset enterprise relationship model is used for analyzing a connection relationship between the enterprises.
As an example, steps S31 to S32 include: inputting each target data set into the preset enterprise relation model to generate an enterprise relation matrix which expresses elements by using two classifications, wherein the elements in the enterprise relation matrix can be expressed by 0 and 1, 0 expresses no association, 1 expresses an association, and the preset enterprise relation model can be a recursive chain graph depth-first algorithm model; and analyzing the incidence relation among the enterprises according to the enterprise relation matrix so as to connect the associated enterprises to obtain the relation chain.
Wherein, the step of connecting each enterprise according to the enterprise relationship matrix to obtain the relationship chain comprises:
step S321, determining the connection relation between the enterprises according to the enterprise relation matrix;
step S322, according to the connection relation, connecting the related enterprises to obtain the relation chain.
As one example, steps S321 to S322 include: screening out enterprises with connection relations of which the element value is 1 or characters with other signs are related and screening out enterprises with no connection relations of which the element value is 0 or characters with other signs are unrelated according to the element values in the enterprise relation matrix; connecting the enterprises with the connection relation, and not connecting the enterprises without the connection relation, thereby obtaining the association chain diagram of each enterprise.
For example, referring to fig. 2, it can be known that a is 1 with B, C, D, E, and F, and a has an association relationship with B, C, D, E, and F, and a is connected with B, C, D, E, and F, and similarly, it can be known that an association relationship between a and B, C, D, E, and F connects two enterprises that are 1, and two enterprises that are 0 are not connected, thereby obtaining the topological relation chain of fig. 3.
After the step of inputting each target data set into a preset enterprise relationship model and outputting a relationship chain between each enterprise, the method further includes:
step A10, performing intersection detection on the relation chain to obtain an intersection detection result;
and A20, adjusting the layout view corresponding to the relationship chain according to the intersection detection result so as to perform visualization.
In this embodiment, it should be noted that, in practical application, there are many enterprises, that is, there may be many relationship connecting lines in the topology relationship chain, when there are many connecting lines, lines are easy to intersect with each other, and it is not easy to distinguish the enterprises corresponding to the two ends of the line during visualization, so that information is wrong, and thus the accuracy of enterprise relationship visualization is low.
As an example, steps a10 to a20 include: obtaining an intersection detection result by performing intersection detection on the relation chain, wherein the relation chain at least comprises one connecting line, the intersection detection means detecting whether the connecting lines intersect, intersection detection can be performed by adopting a custom collision detection algorithm, and the intersection detection result can be used for representing whether an intersection point exists in the layout view; and if the intersection detection result indicates that an intersection point exists in the layout view, selecting each connecting line corresponding to the intersection point, and adjusting the position of each connecting line to ensure that no intersected connecting line exists in the whole layout, so as to perform clearer and more accurate enterprise relationship visualization.
Wherein, the step of adjusting the layout view of the relationship chain according to the intersection detection result to perform visualization includes:
step A21, determining the coordinates of the intersection points in the layout view according to the intersection detection result;
step A22, generating a relationship diagram of each enterprise by adjusting the intersection point coordinates, and visualizing the relationship diagram.
As an example, steps a21 to a22 include: if the intersection detection result indicates that the intersection points exist in the layout view, projecting the layout view on a coordinate axis so as to obtain intersection point coordinates of the intersection points; and inquiring each connecting line passing through the intersection point coordinate according to the intersection point coordinate, acquiring the endpoint coordinate corresponding to each connecting line, and correspondingly editing each endpoint coordinate to separate each connecting line, thereby generating a relationship diagram of each enterprise and visualizing the relationship diagram.
Compared with the current mode of enterprise relationship analysis by inquiring enterprise websites, the method firstly acquires the public information of each enterprise, wherein the public information comprises stock right information, legal information and high management information; analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise; and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise. This application is through analyzing the enterprise relation from the three dimension of equity information, legal person information and high management information, thereby generate the relation chain between each enterprise, the purpose of direct and indirect relation between the multi-dimensional analysis enterprise has been realized, overcome because of the direct relation that the enterprise website only showed between the enterprise, can not show the indirect relation between the enterprise, and the analytic factor of this direct relation is more single, often only analyze according to the investment situation, but the relation between the enterprise is just can confirm by the investment situation not only, thereby the integrality that has leaded to the enterprise relation is lower, therefore, the integrality of enterprise relation has been improved.
In addition, an embodiment of the present application further provides an enterprise relationship analysis apparatus, as shown in fig. 4, the enterprise relationship analysis apparatus includes:
the public information acquiring module 10 is configured to acquire public information of each enterprise, where the public information includes stock right information, legal person information, and high management information;
a multidimensional analysis module 20, configured to analyze the equity information, the corporate information, and the high-management information to obtain a target data set of each enterprise;
and a relation chain generating module 30, configured to input each target data set into a preset enterprise relation model, and output a relation chain between each enterprise.
Optionally, the multidimensional analysis module 20 is further configured to:
performing stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data among the enterprises;
inquiring the legal person job information and legal person stock holding information of each enterprise according to the legal person information to obtain legal person data among the enterprises;
determining organizational structure data of each enterprise according to the high management information;
and merging the share data, the legal person data and the organization architecture data to generate the target data set.
Optionally, the multidimensional analysis module 20 is further configured to:
according to the stock right information, performing upward and/or downward penetration analysis on each enterprise to obtain a penetration result;
and if the penetration result is detected to reach a preset penetration layer number threshold value, generating the share data.
Optionally, the relationship chain generating module 30 is further configured to:
inputting each target data set into the preset enterprise relationship model to generate an enterprise relationship matrix;
and connecting the enterprises according to the enterprise relation matrix to obtain the relation chain.
Optionally, the generate relationship chain module 30 is further configured to:
determining the connection relation between the enterprises according to the enterprise relation matrix;
and connecting the related enterprises according to the connection relation to obtain the relation chain.
Optionally, the enterprise relationship analysis apparatus is further configured to:
performing intersection detection on the relation chain to obtain an intersection detection result;
and adjusting the layout view corresponding to the relationship chain according to the intersection detection result so as to carry out visualization.
Optionally, the enterprise relationship analysis apparatus is further configured to:
determining intersection point coordinates in the layout according to the intersection detection result;
and adjusting the intersection point coordinates to generate a relation graph of each enterprise, and visualizing the relation graph.
The enterprise relationship analysis device provided by the application adopts the enterprise relationship analysis method in the embodiment to solve the technical problem that the integrity of the enterprise relationship is low at present. Compared with the prior art, the beneficial effects of the enterprise relationship analysis device provided by the embodiment of the present application are the same as those of the enterprise relationship analysis method provided by the above embodiment, and other technical features of the enterprise relationship analysis device are the same as those disclosed in the method of the above embodiment, which are not described herein again.
An embodiment of the present application provides an electronic device, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; the storage stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the enterprise relationship analysis method according to the first embodiment.
Referring now to FIG. 5, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
Generally, the following systems may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, and the like; output devices including, for example, liquid Crystal Displays (LCDs), speakers, vibrators, and the like; storage devices including, for example, magnetic tape, hard disk, and the like; and a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device with various systems, it is understood that implementing or having all of the illustrated systems is not a requirement. More or fewer systems may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means, or installed from a storage means, or installed from a ROM. The computer program, when executed by a processing device, performs the functions defined in the methods of the embodiments of the present disclosure.
The electronic device provided by the application adopts the enterprise relationship analysis method in the embodiment, so that the technical problem that the integrity of the existing enterprise relationship is low is solved. Compared with the prior art, the beneficial effects of the electronic device provided by the embodiment of the present application are the same as the beneficial effects of the enterprise relationship analysis method provided by the above embodiment, and other technical features of the electronic device are the same as those disclosed by the above embodiment method, which are not repeated herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
The present embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for executing the enterprise relationship analysis method in the first embodiment.
The computer readable storage medium provided by the embodiments of the present application may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the above. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present embodiment, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be embodied in an electronic device; or may be separate and not incorporated into the electronic device.
The computer-readable storage medium carries one or more programs which, when executed by an electronic device, cause the electronic device to: the method comprises the steps of obtaining public information of each enterprise, wherein the public information comprises stock right information, legal person information and high management information; analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise; and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the names of the modules do not in some cases constitute a limitation of the unit itself.
The computer-readable storage medium provided by the application stores computer-readable program instructions for executing the enterprise relationship analysis method, and solves the technical problem that the integrity of the existing enterprise relationship is low. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment of the present application are the same as the beneficial effects of the enterprise relationship analysis method provided by the above embodiment, and details are not repeated here.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the enterprise relationship analysis method as described above.
The computer program product provided by the application solves the technical problem that the integrity of the enterprise relationship is low at present. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present application are the same as the beneficial effects of the enterprise relationship analysis method provided by the above embodiment, and are not described herein again.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all equivalent structures or equivalent processes, which are directly or indirectly applied to other related technical fields, and which are not limited by the present application, are also included in the scope of the present application.
Claims (10)
1. An enterprise relationship analysis method, comprising:
the method comprises the steps of obtaining public information of each enterprise, wherein the public information comprises stock right information, legal person information and high management information;
analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise;
and inputting each target data set into a preset enterprise relationship model, and outputting a relationship chain between each enterprise.
2. The method of claim 1, wherein the step of analyzing the equity information, the corporate information, and the high management information to obtain a target data set for each of the businesses comprises:
performing stock right penetration analysis on the enterprises according to the stock right information to generate stock occupation data among the enterprises;
inquiring the legal person job information and legal person stock holding information of each enterprise according to the legal person information to obtain legal person data among the enterprises;
according to the high management information, determining organization architecture data of each enterprise;
and merging the share data, the legal person data and the organization architecture data to generate the target data set.
3. The method as claimed in claim 2, wherein the step of performing a stock penetration analysis on the enterprises according to the stock information to generate stock data between the enterprises comprises:
according to the stock right information, performing upward and/or downward penetration analysis on each enterprise to obtain a penetration result;
and if the penetration result is detected to reach a preset penetration layer number threshold value, generating the share data.
4. The business relationship analysis method of claim 1, wherein said step of inputting each of said target data sets into a predetermined business relationship model and outputting a relationship chain between each of said businesses comprises:
inputting each target data set into the preset enterprise relationship model to generate an enterprise relationship matrix;
and connecting the enterprises according to the enterprise relation matrix to obtain the relation chain.
5. The method according to claim 4, wherein the step of connecting the enterprises according to the enterprise relationship matrix to obtain the relationship chain comprises:
determining the connection relation between the enterprises according to the enterprise relation matrix;
and connecting the related enterprises according to the connection relation to obtain the relation chain.
6. The business relationship analysis method of claim 1, wherein after the step of inputting each of the target data sets into a preset business relationship model and outputting a relationship chain between the businesses, further comprising:
obtaining an intersection detection result by performing intersection detection on the relation chain;
and adjusting the layout view corresponding to the relationship chain according to the intersection detection result so as to perform visualization.
7. The enterprise relationship analysis method of claim 6, wherein the step of adjusting the layout view corresponding to the relationship chain for visualization according to the intersection detection result comprises:
determining intersection point coordinates in the layout according to the intersection detection result;
and adjusting the intersection point coordinates to generate a relation graph of each enterprise, and visualizing the relation graph.
8. An enterprise relationship analysis apparatus, comprising:
the system comprises an acquisition public information module, a management module and a management module, wherein the acquisition public information module is used for acquiring public information of each enterprise, and the public information comprises stock right information, legal person information and high management information;
the multidimensional analysis module is used for analyzing the stock right information, the legal person information and the high management information to obtain a target data set of each enterprise;
and the relation chain generation module is used for inputting each target data set into a preset enterprise relation model and outputting a relation chain between each enterprise.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the business relationship analysis method of any one of claims 1 to 7.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program for implementing an enterprise relationship analysis method, the program being executed by a processor to implement the steps of the enterprise relationship analysis method according to any one of claims 1 to 7.
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| CN115129879A (en) * | 2021-03-24 | 2022-09-30 | 北京智数天下科技有限公司 | Method for constructing enterprise relational knowledge base based on knowledge graph |
| 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 |
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