CN109615521A - Anti- arbitrage recognition methods, system and server based on anti-arbitrage model of marketing - Google Patents
Anti- arbitrage recognition methods, system and server based on anti-arbitrage model of marketing Download PDFInfo
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Abstract
The present invention provides a kind of anti-arbitrage recognition methods, system and server based on anti-arbitrage model of marketing, and the anti-arbitrage recognition methods includes: to obtain a digraph according to the trading activity data of trade company and user；Obtain each connected subgraph in the digraph；The grade point of each node in each connected subgraph is calculated, and determines central node and boundary node in the connected subgraph according to the grade point；The bargaining colony with trade center is filtered out according to the central node, the boundary node and default constraint condition；Determine the bargaining colony with the presence or absence of anti-arbitrage behavior according to the default anti-arbitrage model of marketing.The present invention passes through largely transaction, transfer data, design a kind of anti-arbitrage model of marketing, it is capable of the virtual trading behavior of the fast and accurately suspicious group of fixation and recognition by the anti-arbitrage model of the marketing, effectively solves the problems, such as that the examination at present for arbitrage virtual trading behavior of marketing need to be checked one by one by manual type under line.
Description
Technical field
The present invention relates to internet financial fields, specially a kind of based on battalion more particularly to e-marketing technical field
Sell anti-arbitrage recognition methods, system and the server of anti-arbitrage model.
Background technique
Marketing arbitrage is a kind of novel internet financial fraud type, it refers in particular to seek by false means from internet
The behavior of interests is extracted in pin activity.With growing stronger day by day for internet, arbitrage of marketing gradually develops complete industry interests
Chain, means also become more hidden, complicated.
In internet marketing activity, trade company's meeting federated user extracts interests by way of wash sale under partial line,
For example, in promotion.For such arbitrage means, it is merely able to be identified and prevented by way of checking one by one under line at present
Imperial, not only inefficiency, also adds additional cost of labor.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide one kind based on anti-arbitrage model of marketing
Anti- arbitrage recognition methods, system and server, the mode for detecting and being identified by wash sale extracts the electronics of interests
Trading activity.
In order to achieve the above objects and other related objects, the present invention provides a kind of anti-arbitrage based on anti-arbitrage model of marketing
Recognition methods, the anti-arbitrage recognition methods based on anti-arbitrage model of marketing include: the trading activity according to trade company and user
Data obtain a digraph；Obtain each connected subgraph in the digraph；It calculates and is respectively saved in each connected subgraph
The grade point of point, and determine according to the grade point central node and boundary node in the connected subgraph；In described
Heart node, the boundary node and default constraint condition filter out the bargaining colony with trade center；It is anti-according to default marketing
Arbitrage model determines the bargaining colony with the presence or absence of anti-arbitrage behavior.
In one embodiment of the invention, the central node and boundary node be respectively participate in marketing activity trade company and
User, the consumption being associated as between the trade company and the user between the central node and the boundary node and transfers accounts
Behavior.
In one embodiment of the invention, in the connected subgraph: the maximum node of grade point is center node, Qi Tajie
Point is boundary node.
In one embodiment of the invention, the default constraint condition are as follows: | | log (Pi/Pj)||≈||log(Pu/Pv)||
∈ (0, ε)；log(Pk/Pi)>1；Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor node i etc.
Grade value, PjFor the grade point of node j, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε
For the threshold parameter manually set, ε ∈ (0.001,0.1).
In one embodiment of the invention, the anti-arbitrage model of the default marketing includes: to transfer accounts behavior with central node
Boundary node formed boundary node set S1:S1=Set { Vi }, meet property { Ei }={ " transferring accounts " }, Set { Vi } is full
The boundary node set of sufficient condition, Vi are the boundary node for the condition that meets, and Ei is the behavior relation of Vi and central node,
Property { Ei }={ " transferring accounts " } indicates that boundary node Vi and central node are transferred accounts behavior；There is consumer behavior with central node
Boundary node formed boundary node set S2:S2=Set { Vj }, meet property { Ej }={ " consumption " }, Set { Vj } is full
The boundary node set of sufficient condition, Vj are the boundary node for the condition that meets, and Ej is the behavior relation of Vj and central node,
Property { Ej }={ " consumption " } indicates that boundary node Vi and central node have consumer behavior；The union of two boundary node sets
S3:S3=S1+S2；The default anti-arbitrage model of marketing of the basis determines the bargaining colony with the presence or absence of anti-arbitrage behavior packet
It includes: if (Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that the bargaining colony has anti-set
Sharp behavior, Num (S1), Num (S2), Num (S3) are respectively the number of node set S1 interior joint, node set S2 interior joint
Number, the number of node set S3 interior joint, T are preset threshold parameter.
The embodiment of the present invention also provides a kind of anti-arbitrage identifying system based on anti-arbitrage model of marketing, described based on battalion
The anti-arbitrage identifying system for selling anti-arbitrage model includes: oriented module, for the trading activity data according to trade company and user
Obtain a digraph；Connected subgraph module, for obtaining each connected subgraph in the digraph；Node determining module,
It is determined in the connected subgraph for calculating the grade point of each node in each connected subgraph, and according to the grade point
Central node and boundary node；Bargaining colony screening module is used for according to the central node, the boundary node and presets about
Beam conditional filtering provides the bargaining colony of trade center；Anti- arbitrage determining module, for according to the default anti-arbitrage model of marketing
Determine the bargaining colony with the presence or absence of anti-arbitrage behavior.
In one embodiment of the invention, the central node and boundary node be respectively participate in marketing activity trade company and
User, the consumption being associated as between the trade company and the user between the central node and the boundary node and transfers accounts
Behavior；In the connected subgraph: the maximum node of grade point is center node, and other nodes are boundary node.
In one embodiment of the invention, the default constraint condition are as follows: | | log (Pi/Pj)||≈||log(Pu/Pv)||
∈ (0, ε)；log(Pk/Pi)>1；Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor node i etc.
Grade value, PjFor the grade point of node j, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε
For the threshold parameter manually set, ε ∈ (0.001,0.1).
In one embodiment of the invention, the anti-arbitrage model of the default marketing includes: to transfer accounts behavior with central node
Boundary node formed boundary node set S1:S1=Set { Vi }, meet property { Ei }={ " transferring accounts " }, Set { Vi } is full
The boundary node set of sufficient condition, Vi are the boundary node for the condition that meets, and Ei is the behavior relation of Vi and central node,
Property { Ei }={ " transferring accounts " } indicates that boundary node Vi and central node are transferred accounts behavior；There is consumer behavior with central node
Boundary node formed boundary node set S2:S2=Set { Vj }, meet property { Ej }={ " consumption " }, Set { Vj } is full
The boundary node set of sufficient condition, Vj are the boundary node for the condition that meets, and Ej is the behavior relation of Vj and central node,
Property { Ej }={ " consumption " } indicates that boundary node Vi and central node have consumer behavior；The union of two boundary node sets
S3:S3=S1+S2；The anti-arbitrage determining module determines that the bargaining colony whether there is according to the default anti-arbitrage model of marketing
If anti-arbitrage behavior includes: (Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that the transaction
Group is respectively the number of node set S1 interior joint, node collection there are anti-arbitrage behavior, Num (S1), Num (S2), Num (S3)
The number of S2 interior joint, the number of node set S3 interior joint are closed, T is preset threshold parameter.
The embodiment of the present invention also provides a kind of server, including processor and memory, and the memory is stored with journey
Sequence instruction, the processor operation program instruction realize the anti-arbitrage identification side as described above based on anti-arbitrage model of marketing
Method.
As described above, anti-arbitrage recognition methods, system and the server of the invention based on anti-arbitrage model of marketing has
Below the utility model has the advantages that
The present invention designs a kind of anti-arbitrage model of marketing, passes through the anti-arbitrage of the marketing by largely transaction, transfer data
Model is capable of the virtual trading behavior of the fast and accurately suspicious group of fixation and recognition, effectively solves empty for marketing arbitrage at present
The problem of examination of quasi- trading activity need to be checked one by one by manual type under line.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is shown as the flow diagram of the anti-arbitrage recognition methods of the invention based on anti-arbitrage model of marketing.
Fig. 2 is shown as the signal of each connected subgraph in the anti-arbitrage recognition methods of the invention based on anti-arbitrage model of marketing
Figure.
Fig. 3 is shown as the whole implementation process signal of the anti-arbitrage recognition methods of the invention based on anti-arbitrage model of marketing
Figure.
Fig. 4 is shown as the functional block diagram of the anti-arbitrage identification of the invention based on anti-arbitrage model of marketing.
Component label instructions
The 100 anti-arbitrage identifying systems based on anti-arbitrage model of marketing
110 oriented modules
120 connected subgraph modules
130 node determining modules
140 bargaining colony screening modules
150 anti-arbitrage determining modules
S110~S150 step
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
It please refers to Fig.1 to Fig.4.It should be clear that this specification structure depicted in this specification institute accompanying drawings, ratio, size etc., only to
Cooperate the revealed content of specification, so that those skilled in the art understands and reads, being not intended to limit the invention can be real
The qualifications applied, therefore do not have technical essential meaning, the tune of the modification of any structure, the change of proportionate relationship or size
It is whole, in the case where not influencing the effect of present invention can be generated and the purpose that can reach, it should all still fall in disclosed skill
Art content obtains in the range of capable of covering.Meanwhile in this specification it is cited as "upper", "lower", "left", "right", " centre " and
The term of " one " etc. is merely convenient to being illustrated for narration, rather than to limit the scope of the invention, relativeness
It is altered or modified, under the content of no substantial changes in technology, when being also considered as the enforceable scope of the present invention.
The purpose of the present embodiment is that providing a kind of anti-arbitrage recognition methods, system and clothes based on anti-arbitrage model of marketing
Business device, the mode for detecting and being identified by wash sale extract the electronic transaction behavior of interests.
Anti- arbitrage recognition methods, system and server of the invention based on anti-arbitrage model of marketing described in detail below
Principle and embodiment, make those skilled in the art do not need creative work be appreciated that it is of the invention based on the anti-set of marketing
Anti- arbitrage recognition methods, system and the server of sharp model.
Specifically, as shown in Figure 1, the embodiment provides a kind of anti-arbitrage knowledges based on anti-arbitrage model of marketing
Other method, the anti-arbitrage recognition methods based on the anti-arbitrage model of marketing the following steps are included:
Step S110 obtains a digraph according to the trading activity data of trade company and user；
Step S120 obtains each connected subgraph in the digraph；
Step S130, calculates the grade point of each node in each connected subgraph, and determines institute according to the grade point
State the central node and boundary node in connected subgraph；
Step S140, being filtered out according to the central node, the boundary node and default constraint condition has in transaction
The bargaining colony of the heart；
Step S150 determines the bargaining colony with the presence or absence of anti-arbitrage behavior according to the default anti-arbitrage model of marketing.
Below to the step S110 of the anti-arbitrage recognition methods based on anti-arbitrage model of marketing in the present embodiment to step
S150 is described in detail.
Step S110 obtains a digraph according to the trading activity data of trade company and user.
As shown in Fig. 2, specifically, the trade company for participating in marketing activity and user are respectively set as central node and boundary
Node, and being associated between central node and boundary node, the consumption between trade company and user and behavior of transferring accounts, according to quotient
The behavioral data of family and user obtain a digraph, i.e., act the oriented connection of the trade company for having trading activity data and user
Come.
Step S120 obtains each connected subgraph in the digraph.
As shown in Fig. 2, having the associated boundary node of consumption and and central node with central node in marketing arbitrage scene
Associated boundary node of transferring accounts has very a high proportion of coincidence.Each connection in digraph is obtained using network-in-dialing nomography
Subgraph.Specifically, in one drawing, if there is behavior relation (having path to be connected) between two vertex, claiming this two o'clock is connection
's；If any two vertex is all connection in a figure, this figure is connected graph.
Step S130, calculates the grade point of each node in each connected subgraph, and determines institute according to the grade point
State the central node and boundary node in connected subgraph.
In this present embodiment, the central node and boundary node are respectively trade company and the user for participating in marketing activity, institute
State the consumption being associated as between the trade company and the user between central node and the boundary node and behavior of transferring accounts.
In this present embodiment, in the connected subgraph: the maximum node of grade point is center node, and other nodes are boundary
Node.
I.e. in this present embodiment, according between node consumption and the behavior of transferring accounts calculate the PageRank value of each node
(grade point), size are equal to consumption and behavior number of transferring accounts between the node and other nodes.
Grade point embodies grade of the node in connected subgraph, and higher grade shows the node in transaction
The heart.Assuming that the number of the highest node of grade is k, then k node is center node, and other nodes are boundary node.
Step S140, being filtered out according to the central node, the boundary node and default constraint condition has in transaction
The bargaining colony of the heart.
Specifically, in this present embodiment, the default constraint condition are as follows:
||log(Pi/Pj)||≈||log(Pu/Pv) | | ∈ (0, ε)；
log(Pk/Pi)>1；
Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor the grade point of node i, PjFor node
The grade point of j, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε is manually set
Threshold parameter, ε ∈ (0.001,0.1).
The PageRank value for the node that note number is i is Pi, and the friendship of trade center is filtered out according to constraint condition as above
Easy group.
Step S150 determines the bargaining colony with the presence or absence of anti-arbitrage behavior according to the default anti-arbitrage model of marketing.
Specifically, in this present embodiment, the default anti-arbitrage model of marketing includes:
1) boundary node for the behavior of transferring accounts forms boundary node set S1 with central node:
S1=Set { Vi }, meets property { Ei }={ " transferring accounts " }, and Set { Vi } is the boundary node set for the condition that meets
It closes, Vi is the boundary node for the condition that meets, and Ei is the behavior relation of Vi and central node, property { Ei }={ " transferring accounts " } table
Show boundary node Vi and central node is transferred accounts behavior；
2) boundary node of consumer behavior forms boundary node set S2 with central node:
S2=Set { Vj }, meets property { Ej }={ " consumption " }, and Set { Vj } is the boundary node set for the condition that meets
It closes, Vj is the boundary node for the condition that meets, and Ej is the behavior relation of Vj and central node, property { Ej }={ " consumption " } table
Show that boundary node Vi and central node have consumer behavior；
3) the union S3:S3=S1+S2 of two boundary node sets.
If the default anti-arbitrage model of marketing of the basis determines that the bargaining colony includes: with the presence or absence of anti-arbitrage behavior
(Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that there are anti-arbitrage rows for the bargaining colony
For Num (S1), Num (S2), Num (S3) are respectively the number of node set S1 interior joint, of node set S2 interior joint
Number, the number of node set S3 interior joint, T are preset threshold parameter, wherein T is the threshold parameter manually rule of thumb set,
Such as T empirical value takes 0.85.
As shown in figure 3, obtaining relevant transaction after marketing activity starts according to region, time, marketing activity, transferring accounts
Then data generate connected subgraph, carried out by preset algorithm (constraint condition and market anti-arbitrage model) and setup parameter based on
It calculates, wherein it according to the distribution of computing resource, can both be calculated, can also be calculated with real-time perfoming at regular intervals, thus
Generate doubtful marketing arbitrage blacklist.Relevant air control personnel can carry out artificial investigation and key monitoring according to the list.
The embodiment of the present invention also provides a kind of server, including processor and memory, and the memory is stored with journey
Sequence instruction, the processor operation program instruction realize the anti-arbitrage identification side as described above based on anti-arbitrage model of marketing
Method.
In the exemplary embodiment, the server can be by one or more application specific integrated circuit (ASIC), number
Word signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, above-mentioned based on anti-arbitrage of marketing for executing
The anti-arbitrage recognition methods of model.
To realize the above-mentioned anti-arbitrage recognition methods based on anti-arbitrage model of marketing, as shown in figure 4, the present embodiment is also corresponding
The embodiment of the present invention is provided, a kind of anti-arbitrage identifying system 100 based on anti-arbitrage model of marketing also is provided, it is described based on battalion
The anti-arbitrage identifying system 100 for selling anti-arbitrage model includes: oriented module 110, and connected subgraph module 120, node determines mould
Block 130, bargaining colony screening module 140 and anti-arbitrage determining module 150.
In this present embodiment, the oriented module 110 is used to obtain one according to the trading activity data of trade company and user
A digraph.
As shown in Fig. 2, specifically, the trade company for participating in marketing activity and user are respectively set as central node and boundary
Node, and being associated between central node and boundary node, the consumption between trade company and user and behavior of transferring accounts, according to quotient
The behavioral data of family and user obtain a digraph, i.e., act the oriented connection of the trade company for having trading activity data and user
Come.
In this present embodiment, the connected subgraph module 120 is used to obtain each connected subgraph in the digraph.
As shown in Fig. 2, having the associated boundary node of consumption and and central node with central node in marketing arbitrage scene
Associated boundary node of transferring accounts has very a high proportion of coincidence.Each connection in digraph is obtained using network-in-dialing nomography
Subgraph.Specifically, in one drawing, if there is behavior relation (having path to be connected) between two vertex, claiming this two o'clock is connection
's；If any two vertex is all connection in a figure, this figure is connected graph.
In this present embodiment, the node determining module 130 be used to calculate each node in each connected subgraph etc.
Grade is worth, and central node and boundary node in the connected subgraph are determined according to the grade point.
In this present embodiment, the central node and boundary node are respectively trade company and the user for participating in marketing activity, institute
State the consumption being associated as between the trade company and the user between central node and the boundary node and behavior of transferring accounts.
In this present embodiment, in the connected subgraph: the maximum node of grade point is center node, and other nodes are boundary
Node.
I.e. in this present embodiment, according between node consumption and the behavior of transferring accounts calculate the PageRank value of each node
(grade point), size are equal to consumption and behavior number of transferring accounts between the node and other nodes.
Grade point embodies grade of the node in connected subgraph, and higher grade shows the node in transaction
The heart.Assuming that the number of the highest node of grade is k, then k node is center node, and other nodes are boundary node.
In this present embodiment, the bargaining colony screening module 140 is used for according to the central node, the boundary node
The bargaining colony with trade center is filtered out with default constraint condition.
Specifically, in this present embodiment, the default constraint condition are as follows:
||log(Pi/Pj)||≈||log(Pu/Pv) | | ∈ (0, ε)；
log(Pk/Pi)>1；
Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor the grade point of node i, PjFor node
The grade point of j, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε is manually set
Threshold parameter, ε ∈ (0.001,0.1).
The PageRank value for the node that note number is i is Pi, and the friendship of trade center is filtered out according to constraint condition as above
Easy group.
In this present embodiment, the anti-arbitrage determining module 150 is used for according to the anti-arbitrage model determination of default marketing
Bargaining colony whether there is anti-arbitrage behavior.
In this present embodiment, the default anti-arbitrage model of marketing includes:
There is the boundary node for the behavior of transferring accounts to form boundary node set S1 with central node:
1) S1=Set { Vi }, meets property { Ei }={ " transferring accounts " }, and Set { Vi } is the boundary node for the condition that meets
Set, Vi are the boundary node for the condition that meets, and Ei is the behavior relation of Vi and central node, property { Ei }={ " transferring accounts " }
Indicate that boundary node Vi and central node are transferred accounts behavior；
2) boundary node of consumer behavior forms boundary node set S2 with central node:
S2=Set { Vj }, meets property { Ej }={ " consumption " }, and Set { Vj } is the boundary node set for the condition that meets
It closes, Vj is the boundary node for the condition that meets, and Ej is the behavior relation of Vj and central node, property { Ej }={ " consumption " } table
Show that boundary node Vi and central node have consumer behavior；
3) the union S3:S3=S1+S2 of two boundary node sets；
The anti-arbitrage determining module 150 determines the bargaining colony with the presence or absence of anti-according to the default anti-arbitrage model of marketing
If arbitrage behavior includes: (Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that the transaction group
Body is respectively the number of node set S1 interior joint, node set there are anti-arbitrage behavior, Num (S1), Num (S2), Num (S3)
The number of S2 interior joint, the number of node set S3 interior joint, T are preset threshold parameter.Wherein, T is manually rule of thumb to set
Fixed threshold parameter, such as T empirical value take 0.85.
As shown in figure 3, obtaining relevant transaction after marketing activity starts according to region, time, marketing activity, transferring accounts
Then data generate connected subgraph, carried out by preset algorithm (constraint condition and market anti-arbitrage model) and setup parameter based on
It calculates, wherein it according to the distribution of computing resource, can both be calculated, can also be calculated with real-time perfoming at regular intervals, thus
Generate doubtful marketing arbitrage blacklist.Relevant air control personnel can carry out artificial investigation and key monitoring according to the list.
In conclusion the present invention designs a kind of anti-arbitrage model of marketing, by this by largely transaction, transfer data
Anti- arbitrage model of marketing is capable of the virtual trading behavior of the fast and accurately suspicious group of fixation and recognition, effectively solves to be directed at present
The problem of examination of marketing arbitrage virtual trading behavior need to be checked one by one by manual type under line.So the present invention has
Effect overcomes various shortcoming in the prior art and has high industrial utilization value.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, includes that institute is complete without departing from the spirit and technical ideas disclosed in the present invention for usual skill in technical field such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (10)
1. a kind of anti-arbitrage recognition methods based on anti-arbitrage model of marketing, which is characterized in that described based on anti-arbitrage mould of marketing
The anti-arbitrage recognition methods of type includes:
A digraph is obtained according to the trading activity data of trade company and user；
Obtain each connected subgraph in the digraph；
The grade point of each node in each connected subgraph is calculated, and is determined in the connected subgraph according to the grade point
Central node and boundary node；
The bargaining colony with trade center is filtered out according to the central node, the boundary node and default constraint condition；
Determine the bargaining colony with the presence or absence of anti-arbitrage behavior according to the default anti-arbitrage model of marketing.
2. the anti-arbitrage recognition methods according to claim 1 based on anti-arbitrage model of marketing, which is characterized in that in described
Heart node and boundary node are respectively trade company and the user for participating in marketing activity, between the central node and the boundary node
The consumption being associated as between the trade company and the user and behavior of transferring accounts.
3. according to right want 2 described in the anti-arbitrage recognition methods based on the anti-arbitrage model of marketing, which is characterized in that the connection
In subgraph: the maximum node of grade point is center node, and other nodes are boundary node.
4. the anti-arbitrage recognition methods according to claim 1 based on anti-arbitrage model of marketing, which is characterized in that described pre-
If constraint condition are as follows:
||log(Pi/Pj)||≈||log(Pu/Pv) | | ∈ (0, ε)；
log(Pk/Pi)>1；
Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor the grade point of node i, PjFor node j's
Grade point, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε is the threshold value manually set
Parameter, ε ∈ (0.001,0.1).
5. the anti-arbitrage recognition methods according to claim 1 based on anti-arbitrage model of marketing, which is characterized in that described pre-
The anti-arbitrage model of pin of anchoring a tent includes:
There is the boundary node for the behavior of transferring accounts to form boundary node set S1 with central node:
S1=Set { Vi }, meets property { Ei }={ " transferring accounts " }, and Set { Vi } is the boundary node set for the condition that meets, Vi
For the boundary node for meeting condition, Ei is the behavior relation of Vi and central node, and property { Ei }={ " transferring accounts " } indicates side
Boundary node Vi and central node are transferred accounts behavior；
There is the boundary node of consumer behavior to form boundary node set S2 with central node:
S2=Set { Vj }, meets property { Ej }={ " consumption " }, and Set { Vj } is the boundary node set for the condition that meets, Vj
For the boundary node for meeting condition, Ej is the behavior relation of Vj and central node, and property { Ej }={ " consumption " } indicates side
Boundary node Vi and central node have consumer behavior；
The union S3:S3=S1+S2 of two boundary node sets；
The default anti-arbitrage model of marketing of the basis determines that the bargaining colony includes: with the presence or absence of anti-arbitrage behavior
(if Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that the bargaining colony exists anti-
Arbitrage behavior, Num (S1), Num (S2), Num (S3) are respectively the number of node set S1 interior joint, node set S2 interior joint
Number, the number of node set S3 interior joint, T be preset threshold parameter.
6. a kind of anti-arbitrage identifying system based on anti-arbitrage model of marketing, which is characterized in that described based on anti-arbitrage mould of marketing
The anti-arbitrage identifying system of type includes:
Oriented module, for obtaining a digraph according to the trading activity data of trade company and user；
Connected subgraph module, for obtaining each connected subgraph in the digraph；
Node determining module, for calculating the grade point of each node in each connected subgraph, and it is true according to the grade point
Central node and boundary node in the fixed connected subgraph；
Bargaining colony screening module, for being provided according to the screening of the central node, the boundary node and default constraint condition
There is the bargaining colony of trade center；
Anti- arbitrage determining module, for determining the bargaining colony with the presence or absence of anti-arbitrage row according to the default anti-arbitrage model of marketing
For.
7. the anti-arbitrage identifying system according to claim 6 based on anti-arbitrage model of marketing, which is characterized in that in described
Heart node and boundary node are respectively trade company and the user for participating in marketing activity, between the central node and the boundary node
The consumption being associated as between the trade company and the user and behavior of transferring accounts；In the connected subgraph: the maximum section of grade point
Point is center node, and other nodes are boundary node.
8. the anti-arbitrage identifying system according to claim 6 based on anti-arbitrage model of marketing, which is characterized in that described pre-
If constraint condition are as follows:
||log(Pi/Pj)||≈||log(Pu/Pv) | | ∈ (0, ε)；
log(Pk/Pi)>1；
Wherein: i, j, u, v are the node that connected subgraph interior joint number is not k, PiFor the grade point of node i, PjFor node j's
Grade point, PuFor the grade point of node u, PvFor the grade point of node v, PkFor the grade point of node k；ε is the threshold value manually set
Parameter, ε ∈ (0.001,0.1).
9. the anti-arbitrage identifying system according to claim 6 based on anti-arbitrage model of marketing, which is characterized in that described pre-
The anti-arbitrage model of pin of anchoring a tent includes:
There is the boundary node for the behavior of transferring accounts to form boundary node set S1 with central node:
S1=Set { Vi }, meets property { Ei }={ " transferring accounts " }, and Set { Vi } is the boundary node set for the condition that meets, Vi
For the boundary node for meeting condition, Ei is the behavior relation of Vi and central node, and property { Ei }={ " transferring accounts " } indicates side
Boundary node Vi and central node are transferred accounts behavior；
There is the boundary node of consumer behavior to form boundary node set S2 with central node:
S2=Set { Vj }, meets property { Ej }={ " consumption " }, and Set { Vj } is the boundary node set for the condition that meets, Vj
For the boundary node for meeting condition, Ej is the behavior relation of Vj and central node, and property { Ej }={ " consumption " } indicates side
Boundary node Vi and central node have consumer behavior；
The union S3:S3=S1+S2 of two boundary node sets；
The anti-arbitrage determining module determines the bargaining colony with the presence or absence of anti-arbitrage row according to the default anti-arbitrage model of marketing
To include:
(if Num (S1)+Num (S2)-Num (S3))/(Num (S1)+Num (S2)) > T, it is determined that the bargaining colony exists anti-
Arbitrage behavior, Num (S1), Num (S2), Num (S3) are respectively the number of node set S1 interior joint, node set S2 interior joint
Number, the number of node set S3 interior joint, T be preset threshold parameter.
10. a kind of server, including processor and memory, the memory are stored with program instruction, which is characterized in that described
Processor runs program instruction and realizes such as claim 1 to the described in any item anti-arbitrage models based on marketing of claim 5
Anti- arbitrage recognition methods.
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