CN113099478A - Equipment relationship network construction method, device, equipment and computer storage medium - Google Patents
Equipment relationship network construction method, device, equipment and computer storage medium Download PDFInfo
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- H—ELECTRICITY
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
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Abstract
The application provides a method, a device, equipment and a computer storage medium for constructing an equipment relationship network. The device relationship network construction method comprises the following steps: acquiring equipment connection record information of each wireless local area network in a preset time period; calculating a first connection weight between each wireless local area network and the devices connected with the wireless local area network based on the device connection record information; based on the first connection weight, calculating second connection weights between different devices connected with the same wireless local area network pairwise; and constructing the equipment relation network based on the second connection weight. According to the method and the device for establishing the device relationship network, the device relationship network establishing efficiency can be improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a computer storage medium for constructing a device relationship network.
Background
Under the background of internet marketing, the data platform can construct a social relationship network of the equipment, identify the relationship type and the relationship affinity degree between the equipment, and determine different relationship types and connection strengths according to the product type and the requirements of advertisers, so that targeted crowd packages with different attributes are defined, and more intelligent targeted advertisement push is realized.
The current ways of constructing social relationship networks are divided into two categories, namely constructing through interactive information and constructing through individual behaviors.
The social relationship network constructed by the interactive information, such as the relationship between the user social network and the family established by the voice call record and the short message and multimedia message communication information: calculating a frequency index of user interaction based on the voice communication information, the short message and multimedia message communication information and the communication frequency, calculating an interaction index by combining information such as times, duration and the like, establishing an interaction circle of the user according to the ranking of the interaction index, and establishing a work circle and a life circle by combining other related information such as preference of interaction time intervals and the like.
A social relationship network constructed by individual behaviors, such as a relationship strength network of devices constructed by devices connecting wireless local area network (Wlan) information: and calculating the cosine similarity between the connected Wlans according to the times of the equipment connecting the Wlans within a period of time, taking the cosine similarity as the strength of the relationship between the equipment, and then carrying out community discovery according to the connection condition.
However, in terms of computational efficiency, the prior art calculates pairwise associations between devices and then identifies and establishes social circles. For mass data, the efficiency of association between every two computing devices is low, and further the efficiency of constructing a device relationship network is low.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for constructing a device relationship network and a computer storage medium, which can improve the efficiency of constructing the device relationship network.
In a first aspect, an embodiment of the present application provides a method for constructing an equipment relationship network, including: acquiring equipment connection record information of each wireless local area network in a preset time period; calculating a first connection weight between each wireless local area network and the devices connected with the wireless local area network based on the device connection record information; based on the first connection weight, calculating second connection weights between different devices connected with the same wireless local area network pairwise; and constructing the equipment relation network based on the second connection weight.
Optionally, the device connection record information includes at least one of the number of connected devices, a connection period, and a connection duration.
Optionally, for each wireless lan, the first connection weight is a ratio between the number of days the device connects to the wireless lan and the total number of days the device connects to all the wireless lans.
Optionally, after acquiring the device connection record information of each wireless local area network within the preset time period, the method further includes: the type of the wireless local area network is determined based on the device connection record information.
Optionally, based on the first connection weight, calculating, pairwise, second connection weights between different devices connected to the same wireless lan, including: based on the first connection weight, calculating the third connection weight between different devices connected with the same wireless local area network pairwise; and adjusting the third connection weight based on the coefficient corresponding to the type of the wireless local area network to obtain a second connection weight.
Optionally, based on the first connection weight, calculating, pairwise, second connection weights between different devices connected to the same wireless lan, including: and aggregating the first connection weight aiming at different devices connected with a plurality of wireless local area networks of the same type to obtain a second connection weight.
In a second aspect, an embodiment of the present application provides an apparatus for constructing a device relationship network, including: the acquisition module is used for acquiring the equipment connection record information of each wireless local area network in a preset time period; the first calculation module is used for calculating first connection weight between each wireless local area network and the equipment connected with the wireless local area network based on the equipment connection record information; the second calculation module is used for pairwise calculating second connection weights between different devices connected with the same wireless local area network based on the first connection weights; and the construction module is used for constructing the equipment relation network based on the second connection weight.
Optionally, the device connection record information includes at least one of the number of connected devices, a connection period, and a connection duration.
Optionally, for each wireless lan, the first connection weight is a ratio between the number of days the device connects to the wireless lan and the total number of days the device connects to all the wireless lans.
Optionally, the apparatus further comprises: and the determining module is used for determining the type of the wireless local area network based on the equipment connection record information.
Optionally, the second calculating module includes: the calculating unit is used for calculating the third connection weight between different devices connected with the same wireless local area network pairwise based on the first connection weight; and the adjusting unit is used for adjusting the third connection weight based on the coefficient corresponding to the type of the wireless local area network to obtain a second connection weight.
Optionally, the second calculating module includes: and the aggregation unit is used for aggregating the first connection weight aiming at different devices connected with a plurality of wireless local area networks of the same type to obtain a second connection weight.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements a device relationship network construction method as shown in the first aspect.
In a fourth aspect, the present application provides a computer storage medium, on which computer program instructions are stored, and when executed by a processor, the computer program instructions implement the device relationship network building method shown in the first aspect.
The device relationship network construction method, device, equipment and computer storage medium can improve the device relationship network construction efficiency. The equipment relation network construction method comprises the steps of obtaining equipment connection record information of each wireless local area network in a preset time period; calculating a first connection weight between each wireless local area network and the devices connected with the wireless local area network based on the device connection record information; based on the first connection weight, calculating second connection weights between different devices connected with the same wireless local area network pairwise; and constructing the equipment relation network based on the second connection weight. Therefore, after the device connection record information of each wireless local area network in the preset time period is obtained, the method determines the connection weight between different devices connected with the same wireless local area network based on the device connection record information, and can improve the device relation network construction efficiency.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a device relationship network building method according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating a device relationship network building method according to another embodiment of the present application.
Fig. 3 is a schematic structural diagram of an apparatus for constructing a device relationship network according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the prior art problems, embodiments of the present application provide a method, an apparatus, a device, and a computer storage medium for constructing a device relationship network. First, a method for constructing a device relationship network provided in the embodiment of the present application is described below.
Before describing the device relationship network construction method, the related terms referred to below are explained.
WIFI is shared: the devices are connected with the same WIFI network. Dividing into the same Bssid or different Bssids belonging to the same Wlan according to the mac address (Bssid) of the Wlan; the connection time can be divided into the connection of the same Wlan at the same time, different time periods on the same day and different time.
Device relationships: social relationships between individuals behind mobile devices. Mainly divided into a working relationship and a relationship of relatives and friends; the working relationship is divided into a co-worker relationship and a customer relationship, and the relationship between relatives and friends is divided into a relationship between relatives and friends. All the relationships have different degrees of strength, which are expressed by 0-1 points, and the relationship is stronger when the score is higher.
Device relationship network: the method comprises the steps of representing equipment by points, representing the relation type and the connection strength between the equipment by edges, representing various types of relations between the equipment in a graph form, and combining algorithm models of different service scenes to realize service requirements such as fraud prevention and control, anti-money laundering, marketing and the like by analyzing various abstract information, statistical information, attribute information and the like in a relation network.
Fig. 1 shows a flowchart of a device relationship network building method according to an embodiment of the present application. As shown in fig. 1, the device relationship network construction method includes: s101, acquiring device connection record information of each wireless local area network in a preset time period.
In one embodiment, the device connection record information includes at least one of the number of connected devices, a connection period, and a connection duration.
In one embodiment, after obtaining the device connection record information of each wireless local area network within the preset time period, the method further comprises: the type of the wireless local area network is determined based on the device connection record information.
S102, calculating first connection weight between each wireless local area network and the equipment connected with the wireless local area network based on the equipment connection record information.
In one embodiment, for each wireless local area network, the first connection weight is a ratio between the number of days the device connects to the wireless local area network and the total number of days the device connects to all wireless local area networks.
S103, based on the first connection weight, second connection weights between different devices connected with the same wireless local area network are calculated pairwise.
In one embodiment, pairwise calculating a second connection weight between different devices connected to the same wireless local area network based on the first connection weight includes: based on the first connection weight, calculating the third connection weight between different devices connected with the same wireless local area network pairwise; and adjusting the third connection weight based on the coefficient corresponding to the type of the wireless local area network to obtain a second connection weight.
In one embodiment, pairwise calculating a second connection weight between different devices connected to the same wireless local area network based on the first connection weight includes: and aggregating the first connection weight aiming at different devices connected with a plurality of wireless local area networks of the same type to obtain a second connection weight.
And S104, constructing the equipment relation network based on the second connection weight.
The equipment relation network construction method comprises the steps of obtaining equipment connection record information of each wireless local area network in a preset time period; calculating a first connection weight between each wireless local area network and the devices connected with the wireless local area network based on the device connection record information; based on the first connection weight, calculating second connection weights between different devices connected with the same wireless local area network pairwise; and constructing the equipment relation network based on the second connection weight. Therefore, after the device connection record information of each wireless local area network in the preset time period is obtained, the method determines the connection weight between different devices connected with the same wireless local area network based on the device connection record information, and can improve the device relation network construction efficiency.
The above technical solution is explained in detail by a specific embodiment.
The embodiment aims to solve the problems that under the condition that only a large amount of networking information of equipment exists, an equipment relation network is quickly and efficiently constructed by analyzing strong and weak association information between the equipment and WIFI and between the equipment, the relation types and the compactness among a plurality of pieces of equipment are deduced, and data support is provided for scenes such as accurate marketing release, risk group mining and the like. The embodiment can speculatively identify the relationship type of the equipment by identifying the type of the Wlan, respectively calculate the relationship strength for different relationship types of the equipment according to the number of days for connecting the equipment with the Wlan and the connection time, and quickly and effectively construct the social relationship network of the equipment.
As shown in fig. 2, the connection Wlan information records of all devices in three months are taken first, then on one hand, the number of Wlan connection devices, the period of time for which Wlan is connected by devices, the average duration of time for which Wlan is connected and the type of Wlan are determined, on the other hand, the total number of days for which devices appear, the number of days and period for which devices are connected by each Wlan, and the score of device connection Wlan are determined, then, for the same common network type, the score between devices is determined, and finally, the device relationship network is determined.
The specific system process based on the Spark platform in this embodiment is as follows: 1. judging the type of the Wlan according to the dimensions of the number of the connected devices, the connection time interval, the connection duration and the like: (a) the number of home network connecting devices is small, and only one BSSID is arranged under the same Wlan; (b) the working network mostly has connection records in working days, and has more connection devices and longer connection time; (c) the number of public network connection devices is extremely large and the connection time of each device is short.
2. Calculate connection weights and other information between the device and the Wlan: (a) for a device connected with a Wlan, calculating the weight of the connected device connected with the Wlan as Sqrt (the number of days for which the device is connected with the Wlan/the number of days for which the device uploads a connection Wlan record); (b) the date and time period that the device was connected to the Wlan is recorded.
3. For different devices connected with the same Wlan, calculating connection weights pairwise: (a) the basic weight scores for device 1 and device 2 are the product of the weight scores of both devices respectively with Wlan; (b) and according to whether the two devices are in the same-day or same-time co-network, the basic score is multiplied by different coefficients by combining with the type of the Wlan.
4. Aggregating the weights of the devices which have the same internetworking relationship under a plurality of the same type of Wlans: if the devices a-b have SCOREs of y1, y2 and y3 under the same type of network, the final SCORE of the devices a-b is SCORE _ ab ═ 1- (1-y1) (1-y2) (1-y 3).
According to the method, the device interaction information is not needed, and the Wlan attribute is judged only through the device connection Wlan information to identify the relationship type between the devices; the connection score between the equipment and the Wlan is calculated firstly, and then the relation score between the equipment and the Wlan is calculated, so that the calculation is faster and more efficient.
According to the method and the device, only the behavior information of the equipment individual connected with the Wlan is needed, the mutual information among the equipment does not need to be recorded, compared with the information needed by a relation network constructed based on the equipment mutual information, a large amount of storage space is saved, the calculation is more efficient, and the individual privacy is protected.
In the embodiment, the equipment relationship type is speculatively identified by identifying the Wlan type, and the relationship strength is respectively calculated for different relationship types of the equipment according to the connection time, so that the marketing requirements of different scenes can be better met compared with the existing relationship strength network.
Fig. 3 is a schematic structural diagram of an apparatus for constructing a device relationship network according to an embodiment of the present application, and as shown in fig. 3, the apparatus for constructing a device relationship network includes: an obtaining module 301, configured to obtain device connection record information of each wireless local area network in a preset time period; a first calculating module 302, configured to calculate a first connection weight between each wireless lan and a device connected to the wireless lan based on the device connection record information; a second calculating module 303, configured to calculate, two by two, second connection weights between different devices connected to the same wlan based on the first connection weight; a building module 304, configured to build the device relationship network based on the second connection weight.
In one embodiment, the device connection record information includes at least one of the number of connected devices, a connection period, and a connection duration.
In one embodiment, for each wireless local area network, the first connection weight is a ratio between the number of days the device connects to the wireless local area network and the total number of days the device connects to all wireless local area networks.
In one embodiment, the apparatus further comprises: and the determining module is used for determining the type of the wireless local area network based on the equipment connection record information.
In one embodiment, the second calculation module 303 includes: the calculating unit is used for calculating the third connection weight between different devices connected with the same wireless local area network pairwise based on the first connection weight; and the adjusting unit is used for adjusting the third connection weight based on the coefficient corresponding to the type of the wireless local area network to obtain a second connection weight.
In one embodiment, the second calculation module 303 includes: and the aggregation unit is used for aggregating the first connection weight aiming at different devices connected with a plurality of wireless local area networks of the same type to obtain a second connection weight.
Each module/unit in the apparatus shown in fig. 3 has a function of implementing each step in fig. 1, and can achieve the corresponding technical effect, and for brevity, the description is not repeated here.
Fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
The electronic device may include a processor 401 and a memory 402 storing computer program instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
In one example, the Memory 402 may be a Read Only Memory (ROM). In one example, the ROM may be mask programmed ROM, programmable ROM (prom), erasable prom (eprom), electrically erasable prom (eeprom), electrically rewritable ROM (earom), or flash memory, or a combination of two or more of these.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the device relationship network construction methods in the above embodiments.
In one example, the electronic device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
In addition, the embodiment of the application can be realized by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the device relationship network construction methods in the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood 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 for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A device relationship network construction method is characterized by comprising the following steps:
acquiring equipment connection record information of each wireless local area network in a preset time period;
calculating a first connection weight between each wireless local area network and the equipment connected with the wireless local area network based on the equipment connection record information;
based on the first connection weight, calculating second connection weights between different devices connected with the same wireless local area network pairwise;
and constructing the equipment relation network based on the second connection weight.
2. The device relationship network building method according to claim 1, wherein the device connection record information includes at least one of a number of connected devices, a connection period, and a connection duration.
3. The device relationship network construction method according to claim 1, wherein the first connection weight is, for each of the wireless local area networks, a ratio between a number of days for which a device connects to the wireless local area network and a total number of days for which a device connects to all wireless local area networks.
4. The device relationship network construction method according to claim 1, wherein after the obtaining of the device connection record information of each wireless local area network within the preset time period, the method further comprises:
determining the type of the wireless local area network based on the device connection record information.
5. The method for constructing a device relationship network according to claim 4, wherein the calculating, two by two, second connection weights between different devices connected to the same wireless local area network based on the first connection weights includes:
based on the first connection weight, calculating third connection weights between different devices connected with the same wireless local area network pairwise;
and adjusting the third connection weight based on the coefficient corresponding to the type of the wireless local area network to obtain the second connection weight.
6. The method for constructing a device relationship network according to claim 4, wherein the calculating, two by two, second connection weights between different devices connected to the same wireless local area network based on the first connection weights includes:
and aggregating the first connection weight aiming at different devices connected with a plurality of wireless local area networks of the same type to obtain a second connection weight.
7. An apparatus for constructing a device relationship network, comprising:
the acquisition module is used for acquiring the equipment connection record information of each wireless local area network in a preset time period;
a first calculation module, configured to calculate, based on the device connection record information, a first connection weight between each of the wireless local area networks and a device connected to the wireless local area network;
the second calculation module is used for pairwise calculating second connection weights between different devices connected with the same wireless local area network based on the first connection weights;
and the construction module is used for constructing the equipment relation network based on the second connection weight.
8. The device relationship network building apparatus according to claim 7, wherein the device connection record information includes at least one of a number of connected devices, a connection period, and a connection duration.
9. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the device relationship network construction method of any of claims 1-6.
10. A computer storage medium having computer program instructions stored thereon, which when executed by a processor implement the device relationship network construction method of any one of claims 1-6.
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| CN206272854U (en) * | 2016-11-14 | 2017-06-20 | 成都信息工程大学 | A kind of social networks construction device based on WiFi network linkage record |
| CN112311612A (en) * | 2019-07-29 | 2021-02-02 | 腾讯科技（深圳）有限公司 | Family portrait construction method and device and storage medium |
| CN110659395A (en) * | 2019-08-14 | 2020-01-07 | 平安科技（深圳）有限公司 | Relational network map construction method and device, computer equipment and storage medium |
| CN112566093A (en) * | 2020-11-13 | 2021-03-26 | 腾讯科技（深圳）有限公司 | Terminal relation identification method and device, computer equipment and storage medium |
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