CN114328634A - Enterprise relation network construction and relation evaluation method - Google Patents
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Abstract
The invention provides an enterprise relational network construction and relation evaluation method, which comprises the steps of obtaining data of an initial enterprise and a target enterprise; performing relation query based on the initial enterprise to obtain an intermediate relation object, and performing relation query based on the intermediate relation object until a target enterprise is queried or a preset path length condition is met; synchronously recording the relationship and path data information in the query process, and constructing an enterprise relationship network between the starting enterprise and the target enterprise; traversing based on an enterprise relationship network to obtain all paths from an initial enterprise to a target enterprise; and performing relation evaluation on each path in all the obtained paths based on a set rule, and outputting a final scoring result of each path. The invention constructs the enterprise relationship network according to the level inquiry and evaluates the path in the network, thereby realizing the intuitive and rapid acquisition of the relationship result between enterprises.
Description
Technical Field
The invention relates to the technical field of enterprise relationship analysis, in particular to a method for constructing an enterprise relationship network and evaluating a relationship.
Background
With the progress of society and the development of science and technology, various industries have changed greatly, and the competition among enterprises becomes more and more intense. If the enterprise wants to obtain more customers in competition, the enterprise has to take relevant measures to maintain the customer group, and meanwhile, the mining of potential customers is emphasized, so that the enterprise can be helped to obtain more customer resources and development opportunities. In this increasingly competitive era, the discovery and analysis of customer relationships is very important for the development of enterprises, and the finding of customers with relatively close potential relationships has a great promoting effect on the business cooperation and product marketing of enterprises. Therefore, in the current market environment, if the deep mining and analysis of the customer relationship can be realized, a proper and effective communication path between the enterprise and the potential target customer can be found, and a communication bridge is built between the enterprise and the customer according to the actual conditions of the enterprise, the enterprise can be helped to remarkably improve the profitability and the competitive power of the enterprise, and the enterprise can be promoted to develop better.
At present, although a related software platform can query enterprise related information, data information is queried aiming at an individual target, and relational data between two enterprises cannot be acquired.
Disclosure of Invention
In order to solve the problems, the invention provides an enterprise relational network construction and relationship evaluation method, which comprises the steps of inquiring in a hierarchical mode according to data of an initial enterprise and a target enterprise and a preset relationship type, acquiring relationship path data between the two enterprises and constructing an enterprise relational network; and traversing the enterprise relational network to acquire all path data, evaluating based on set rules according to different path data information, and intuitively outputting scores of different paths.
The invention provides a method for constructing an enterprise relational network, which comprises the following steps:
acquiring data of an initial enterprise and a target enterprise;
performing relation query based on the initial enterprise to obtain an intermediate relation object;
according to the intermediate relation object, carrying out relation query, and repeating the operation until the target enterprise is queried or a preset path length condition is met;
and synchronously recording the relation and path data information in the query process, and constructing an enterprise relation network between the starting enterprise and the target enterprise based on the relation and path data information.
Further, the relationship query specifically includes the following process:
a1: setting relation query parameters, including setting the starting enterprise N1, setting the target enterprise N2, setting a relation path length, setting a relation type, establishing a temporary intermediate object set and an intermediate object set, and establishing a structure array G (N, E), wherein N is an enterprise set, and E is a relation set;
a2: initializing elements in the temporary intermediate object set as the starting enterprise;
a3: querying an intermediate relation object with a set relation type of elements in the temporary intermediate object set by calling a third-party platform;
a4: storing the intermediate relation object obtained by query in the intermediate object set, removing the queried elements in the temporary intermediate object set, and updating the temporary intermediate object set and the intermediate object set;
a5: storing the elements in the updated intermediate object set in an enterprise set N, and storing the queried relationship corresponding to the elements in a relationship set E;
a6: and updating the relation path length, judging whether the current relation path length meets a preset condition, if not, returning to A3, and if so, finishing the query.
The invention also provides an enterprise relationship evaluation method, which comprises the following steps:
s1: acquiring an enterprise relationship network to be evaluated;
s2: traversing the enterprise relational network to be evaluated, and acquiring all paths from the initial enterprise to the target enterprise;
s3: and performing relation evaluation on each path in all the obtained paths based on a set rule, and outputting a final scoring result of each path.
Further, the enterprise relational network is obtained by the enterprise relational network construction method.
Further, traversing the to-be-evaluated enterprise relationship network specifically comprises the following processes:
s201: acquiring an initial enterprise and a target enterprise in the enterprise relational network;
s202: establishing an enterprise relationship path set and an enterprise temporary query set;
s203: inquiring adjacent enterprise nodes according to the initial enterprise and the enterprise relationship network and the set relationship type;
s204: judging whether the adjacent enterprise node is the target enterprise, if so, storing the inquired path information corresponding to the target enterprise in the temporary enterprise inquiry set;
s205: and acquiring nodes which are not the target enterprise in the adjacent enterprise nodes, continuously inquiring based on the enterprise relationship network until the target enterprise is inquired, and storing corresponding path information into the temporary enterprise inquiry set.
Further, in step S3, the relationship evaluation specifically includes:
s301: evaluating path relation and path length;
s302: and obtaining the scoring results output by the path relation evaluation and the path length evaluation, performing weighted calculation according to the weights correspondingly set by the path relation evaluation and the path length evaluation, and outputting a comprehensive scoring result.
Further, the path relation evaluation specifically comprises the following steps:
respectively setting weight values for different relation types according to the relation types;
and according to the set weight values, carrying out weighted calculation on different relation types, outputting a path relation score, if a plurality of relations exist in the path, respectively calculating scores of the relations, and calculating an average value as the output path relation score.
Further, the relationship types include a stock right association relationship, a board of director high association relationship, and a same attribute relationship;
the equity incidence relation and the board of director are respectively provided with different grades, and scores are set according to the different grades;
and the same attribute relationship is provided with at least one relationship attribute, and the scoring calculation is carried out through a Bayesian formula according to the number of the relationship attributes contained between the adjacent enterprise nodes.
Further, the path length evaluation is carried out through a sigmoid function according to the length.
The invention has the following beneficial effects:
1. by means of the initial enterprise and target enterprise data, hierarchical query is conducted by utilizing a third-party platform according to a preset relationship type, relationship path data between the initial enterprise and the target enterprise is obtained, an enterprise relationship network between the two enterprises is constructed, and workers can conveniently and visually obtain relationships between the enterprises.
2. According to the enterprise relationship network, all relationship path data in the network are obtained through traversal, weight setting is carried out based on two latitudes of path relationship and path length, calculation is carried out according to set score rules, comprehensive scores are obtained through weighting calculation, and workers can quickly and conveniently locate appropriate target customers according to the comprehensive scores aiming at the relationship.
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FIG. 1 is a schematic flow chart of the method of example 1 of the present invention;
FIG. 2 is a schematic flow chart of the method of example 2 of the present invention;
fig. 3 is a schematic diagram of the effect of the enterprise relational network of the present invention.
Detailed Description
In the following description, technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Example 1
acquiring data of an initial enterprise and a target enterprise;
performing relation query based on the initial enterprise to obtain an intermediate relation object;
according to the intermediate relation object, carrying out relation query, and repeating the operation until the target enterprise is queried or a preset path length condition is met;
and synchronously recording the relation and path data information in the query process, and constructing an enterprise relation network between the starting enterprise and the target enterprise based on the relation and path data information.
The specific process is as follows:
a1: setting relation query parameters, including setting the starting enterprise n1, setting the target enterprise n2 and setting a relation path length a;
specifically, a relationship type is set, in this embodiment, the relationship type includes a stock right association relationship, a board of director high association relationship, and a same attribute relationship;
the stock right association relation has three levels, namely a legal representative, a shareholder, a large circulating shareholder, a large shareholder, a new three-plate shareholder and a historical shareholder; the association relationship of the board of director is divided into three levels, namely board of director, board of director in the bulletin and board of director of history; the same attribute relationship includes 15 same attributes, which are respectively "same name", "same telephone", "same address", "same mailbox", "same domain name", "same software copyright", "same referee document", "same patent", "same character number", "same domain name keyword or same mailbox keyword", "same history address", "same history mailbox", "same history telephone", "same history domain name", "branch office".
Establishing a temporary intermediate object set Q and an intermediate object set M, and establishing a structure array G (N, E), wherein N is an enterprise set, and E is a relationship set; setting the current path length parameter x to be 0;
a2: initializing the elements in the temporary intermediate object set Q as the starting enterprise n 1;
a3: querying elements in the temporary intermediate object set Q by calling a third-party platform, and querying intermediate relationship objects of enterprises which have a stock right association relationship, a board prison association relationship and the same attribute relationship with the starting enterprise n 1;
a4: storing the intermediate relation object obtained by query in the intermediate object set M, and removing the element n (n is n1 in the first query) which has been queried in the temporary intermediate object set Q, and updating the temporary intermediate object set Q and the intermediate object set M;
a5: storing the elements in the updated intermediate object set M in an enterprise set N, and storing the queried relation between the elements in the set M and N in a relation set E;
a6: and updating the relationship path length, namely x is x +1, and judging whether the current relationship path length x meets a preset condition, namely judging whether the current relationship path length x is less than a, if not, returning to A3, and if so, ending the query.
That is, the query is ended, and the path of at most a nodes is included in the enterprise set E, starting from the initial enterprise n1 and including the initial enterprise; and finally outputting the enterprise relational network with the structure shown in the figure 3.
Taking one of the paths as an example, the following description is made:
defining a structure array G which represents an enterprise relational network as (N, E), initializing a temporary intermediate object set Q, setting the relation path length as 10, and initializing the current relation path length x as 0;
obtaining an element n in a temporary intermediate object set QiI.e. n1, querying intermediate objects which have a stock right association relationship, a board director association relationship and the same attribute relationship with n1 and storing the intermediate objects in the intermediate object set M;
subtracting the current element n from the temporary intermediate object set QiI.e., n 1;
the current element niAdding the relationship with the element in the corresponding intermediate object set M into a relationship set E, and adding the element in the intermediate object set M into an intermediate object set Q and an enterprise set N, namely updating the temporary intermediate object set Q, wherein the element in the set Q is an intermediate object with a path of 1;
re-assigning the length x of the current relationship path, namely x is x + 1;
and judging whether x is smaller than 10, if so, repeating the query process, and if not, ending the query on the enterprise node in the current path.
Example 2
Embodiment 2 of the present invention discloses an enterprise relationship evaluation method based on embodiment 1 described above, and as shown in fig. 2, the method includes:
s1: acquiring an enterprise relationship network to be evaluated; in this embodiment 2, the enterprise relational network is obtained by the enterprise relational network construction method described above;
s2: traversing the enterprise relational network to be evaluated, and acquiring all paths from the initial enterprise to the target enterprise;
the specific process of traversal is as follows:
s201: acquiring an initial enterprise and a target enterprise in the enterprise relational network;
s202: establishing an enterprise relationship path set and an enterprise temporary query set;
s203: inquiring adjacent enterprise nodes according to the initial enterprise and the enterprise relationship network and the set relationship type;
s204: judging whether the adjacent enterprise node is the target enterprise, if so, storing the inquired path information corresponding to the target enterprise in the temporary enterprise inquiry set;
s205: and acquiring nodes which are not the target enterprise in the adjacent enterprise nodes, continuously inquiring based on the enterprise relationship network until the target enterprise is inquired, and storing corresponding path information into the temporary enterprise inquiry set.
Taking the query acquisition of a certain path as an example, the following description is made:
acquiring a starting enterprise and a target enterprise which need to query the relationship in the enterprise relationship network, wherein the starting enterprise and the target enterprise are respectively defined as n1 and n 2;
establishing an enterprise relation path set P and an enterprise temporary query set S, establishing an enterprise relation path temporary set P _ tmp, and initializing the P _ tmp to be empty;
placing n1 in the set P _ tmp;
inquiring and acquiring enterprise nodes adjacent to n1 according to a set relationship type from the enterprise relationship network, and storing the enterprise nodes in a set S;
judging whether the target enterprise n2 is in the set S, namely whether the inquired adjacent enterprise node is the target enterprise n 2; if yes, adding the target enterprise n2 into the set P _ tmp, forming a path and storing the path in the set P;
subtracting n2 from the set S and P _ tmp;
for each element n in the set SiAnd respectively putting the data into a set P _ tmp, and executing the query process until the target enterprise n2 is queried or the last node in the path is queried based on the enterprise relational network.
S3: and performing relation evaluation on each path in all the obtained paths based on a set rule, and outputting a final scoring result of each path.
The relationship evaluation specifically includes:
s301: evaluating path relation and path length;
the path relation evaluation comprises the following specific processes:
respectively setting weight values for different relation types according to the relation types;
and according to the set weight values, carrying out weighted calculation on different relation types, outputting a path relation score, if a plurality of relations exist in the path, respectively calculating scores of the relations, and calculating an average value as the output path relation score.
The relationship types comprise a stock right association relationship, a board of director high association relationship and a same attribute relationship;
the equity incidence relation and the board of director are respectively provided with different grades, and scores are set according to the different grades;
the same attribute relationship is provided with at least one relationship attribute, and scoring calculation is carried out through a Bayesian formula according to the number of the relationship attributes contained between adjacent enterprise nodes;
specifically, as shown in fig. 3, in this embodiment, the equity association relationship, the director of board, and the same attribute relationship respectively account for 40%, and 20% of the weight;
three levels are set in the association relationship of the equity of shares, namely 'legal representative', 'shareholder', 'circulation shareholder', 'ten big shareholder', 'new three-plate shareholder' and 'historical shareholder', if the relationship between two adjacent enterprise nodes contains the above contents, the equity of shares can be respectively obtained for 100, 80 or 60 points according to the levels; three levels are set in the association relationship of the board of director's altitude', the board of director's altitude in the announcement and the historical board of director's altitude, and similarly, if the relationship between two adjacent enterprise nodes includes the above-mentioned contents, 100, 80 or 60 points can be obtained in the association of the right of stock according to the levels; in terms of the same attribute relationship, there are 15 same attributes in total, namely, "same name", "same telephone", "same address", "same mailbox", "same domain name", "same software copyright", "same referee document", "same patent", "same word number", "same domain name keyword or same mailbox keyword", "same history address", "same history mailbox", "same history telephone", "same history domain name", "branch office", which are evaluated by using a bayesian formula, and the more the number of the above-mentioned fields is included in the relationship between two adjacent enterprise nodes, the higher the score of the aspect is, the bayesian formula is as follows:
wherein x is the path length, y is the number of the same attribute matches, and N is the parameter value.
In the above three dimensions, if the relationship of a certain segment of adjacent enterprise nodes does not find a matching field, 40 points are obtained by default in the corresponding aspect.
The path length evaluation is carried out by scoring calculation through a sigmoid function according to the length;
the sigmoid function calculation formula is as follows:
where x represents the path length of the current path.
In fig. 3, path: n1-x-n2 is taken as an example, the path length is 2, x, n1 and n2 are in stockholder relationship and have no same attribute, and the score evaluated on the path length is 95.26 points;
in the first segment of the relationship, namely the relationship between x and n1, only the relationship between "shareholder" is obtained, and 80, 40 and 40 points are respectively obtained in terms of equity association, director association and the same attribute, and after weighted averaging, the obtained point of the segment of the relationship is 80, 40 and 20, 56 points;
in the second stage of relation, the relation between x and n2 has only the relation of "shareholder", and the weighted average calculation is like the first stage of relation calculation, namely 56 points; and averaging the scores of the two sections of relations to obtain a score 56 of the path relation evaluation.
S302: and obtaining the scoring results output by the path relation evaluation and the path length evaluation, performing weighted calculation according to the weights correspondingly set by the path relation evaluation and the path length evaluation, and outputting a comprehensive scoring result.
Taking the above path as an example, the score of the path length evaluation of 95.26 and the score of the path relation evaluation of 56 are weighted and averaged, and finally the total score of the path, that is, 75.63 is obtained.
And outputting the comprehensive scores of all the paths, sorting according to the sequence of scores from high to low, and screening out a preset number of paths and score data.
Based on the enterprise relationship network shown in fig. 3, the final output results are shown in table 1 below.
Table 1: path and score data output result
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed.
Claims (9)
1. An enterprise relational network construction method is characterized by comprising the following steps:
acquiring data of an initial enterprise and a target enterprise;
performing relation query based on the initial enterprise to obtain an intermediate relation object;
according to the intermediate relation object, carrying out relation query, and repeating the operation until the target enterprise is queried or a preset path length condition is met;
and synchronously recording the relation and path data information in the query process, and constructing an enterprise relation network between the starting enterprise and the target enterprise based on the relation and path data information.
2. The method for constructing an enterprise relational network according to claim 1, wherein the relational query comprises the following specific processes:
a1: setting relation query parameters, including setting the starting enterprise N1, setting the target enterprise N2, setting a relation path length, setting a relation type, establishing a temporary intermediate object set and an intermediate object set, and establishing a structure array G (N, E), wherein N is an enterprise set, and E is a relation set;
a2: initializing elements in the temporary intermediate object set as the starting enterprise;
a3: querying an intermediate relation object with a set relation type of elements in the temporary intermediate object set by calling a third-party platform;
a4: storing the intermediate relation object obtained by query in the intermediate object set, removing the queried elements in the temporary intermediate object set, and updating the temporary intermediate object set and the intermediate object set;
a5: storing the elements in the updated intermediate object set in an enterprise set N, and storing the queried relationship corresponding to the elements in a relationship set E;
a6: and updating the relation path length, judging whether the current relation path length meets a preset condition, if not, returning to A3, and if so, finishing the query.
3. An enterprise relationship evaluation method is characterized by comprising the following steps:
s1: acquiring an enterprise relationship network to be evaluated;
s2: traversing the enterprise relational network to be evaluated, and acquiring all paths from the initial enterprise to the target enterprise;
s3: and performing relation evaluation on each path in all the obtained paths based on a set rule, and outputting a final scoring result of each path.
4. The business relationship evaluation method according to claim 3, wherein the business relationship network is obtained by the business relationship network construction method according to any one of claims 1 to 2.
5. The enterprise relationship evaluation method according to claim 4, wherein traversing the enterprise relationship network to be evaluated comprises the following specific processes:
s201: acquiring an initial enterprise and a target enterprise in the enterprise relational network;
s202: establishing an enterprise relationship path set and an enterprise temporary query set;
s203: inquiring adjacent enterprise nodes according to the initial enterprise and the enterprise relationship network and the set relationship type;
s204: judging whether the adjacent enterprise node is the target enterprise, if so, storing the inquired path information corresponding to the target enterprise in the temporary enterprise inquiry set;
s205: and acquiring nodes which are not the target enterprise in the adjacent enterprise nodes, continuously inquiring based on the enterprise relationship network until the target enterprise is inquired, and storing corresponding path information into the temporary enterprise inquiry set.
6. The enterprise relationship evaluation method according to claim 5, wherein in step S3, the relationship evaluation specifically includes:
s301: evaluating path relation and path length;
s302: and obtaining the scoring results output by the path relation evaluation and the path length evaluation, performing weighted calculation according to the weights correspondingly set by the path relation evaluation and the path length evaluation, and outputting a comprehensive scoring result.
7. The enterprise relationship evaluation method according to claim 6, wherein the path relationship evaluation specifically comprises the following steps:
respectively setting weight values for different relation types according to the relation types;
and according to the set weight values, carrying out weighted calculation on different relation types, outputting a path relation score, if a plurality of relations exist in the path, respectively calculating scores of the relations, and calculating an average value as the output path relation score.
8. The enterprise relationship evaluation method of claim 7, wherein the relationship types include a stock right association relationship, a board of director association relationship, and a same attribute relationship;
the equity incidence relation and the board of director are respectively provided with different grades, and scores are set according to the different grades;
and the same attribute relationship is provided with at least one relationship attribute, and the scoring calculation is carried out through a Bayesian formula according to the number of the relationship attributes contained between the adjacent enterprise nodes.
9. The enterprise relationship evaluation method according to claim 6, wherein the path length evaluation is calculated by a sigmoid function according to length.
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