CN111372194A - Intelligent identification method for mobile phone card changing user - Google Patents
Intelligent identification method for mobile phone card changing user Download PDFInfo
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- CN111372194A CN111372194A CN201811591639.6A CN201811591639A CN111372194A CN 111372194 A CN111372194 A CN 111372194A CN 201811591639 A CN201811591639 A CN 201811591639A CN 111372194 A CN111372194 A CN 111372194A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention provides an intelligent identification method for a mobile phone card changing user, which utilizes signaling data of a telecom operator to collect and store the position of a base station where an IMSI identification number is located in a certain area, the time of entering and exiting the base station and track information; and marking the IMSI which suddenly disappears as an old card, analyzing a residence place of the old card for a period of time before the IMSI disappears, finding the IMSI which newly appears in a certain period of time under a corresponding base station of the residence place, then screening according to whether the working place of the new IMSI is the same as the old card or not, carrying out similarity judgment on the behavior tracks of the screened new IMSI and the old card, and if the similarity exceeds a certain threshold value, considering that the new IMSI and the old card IMS are the same user, otherwise, judging that the new IMSI and the old card IMS are not the same user.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a card changing user identification method based on mobile communication big data.
Background
With the continuous popularization of smart phones and 4G networks, more and more mobile communication big data analysis is applied to smart city construction, including demographic, traffic planning, service facility layout and the like according to the movement track and activity rule of users. In actual life, as the competition of operators is intensified continuously, the mobile phone numbers of users are changed frequently, if mobile data after number changing is not connected, personal data are broken, urban population behavior tracks are analyzed, activity rules are influenced, and effective identification is not carried out on card changing users in the prior art.
Disclosure of Invention
The invention aims to provide a card-changing user identification method based on mobile communication big data, which can associate mobile phone numbers before and after card changing of a user, solve the problem of data connection of card-changing users in communication data and improve the accuracy of demographic analysis of the big data.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent identification method for a mobile phone card changing user is characterized by comprising the following steps:
(1) data acquisition: acquiring and storing the position of the base station where each IMSI identification number is located in a statistical area and the time information of base station entering and exiting in a time period by utilizing signaling data of a telecom operator to obtain the moving track data of each IMSI;
(2) data preprocessing: carrying out interpolation compensation on missing signaling entering and exiting a base station, and if a user only enters a certain base station time and does not leave the base station time or only leaves the certain base station time and does not enter the base station time in a statistical time period, carrying out interpolation on missing data, wherein interpolation time points are the starting time and the ending time of the statistical time period;
(3) and (3) judging the logged-out user: in the statistical time period, if a certain mobile phone signaling suddenly disappears and continuously disappears for more than a set time, the card is considered to be cancelled, the IMSI is screened out and marked as an old card;
(4) judging the residence of the old card: reading the track data of a certain time period before the old card signaling disappears, and counting the track data of the old card signaling in the time period every day by 21:00 to the next day 6:00, further counting the stay time of each base station, and judging the geographical position corresponding to the base station with the longest stay time as the residence place;
(5) the old card is judged in the working place: reading the track data of a certain time period before the old card signaling disappears, and counting the track data in the time period, wherein the track data is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place;
(6) and (3) discovering a new card: finding IMSIs newly appeared in the old card residence base station within a certain time after old card signaling disappears, and taking the newly appeared IMSIs as new cards to be screened;
(7) screening for new cards according to residence: counting each new card 21:00 to the next day 6:00, further counting the stay time of each base station, and judging the geographical position corresponding to the base station with the longest stay time as the residence place; screening out new cards with the same residence places as the old cards, and further screening according to the working places;
(8) screening new cards according to job site: and (4) counting new cards screened out in the step (7) according to the same residence places, wherein each new card is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place; taking a new card which works in the same place as the old card as a candidate new card;
(9) and (3) judging the behavior similarity: and (4) performing behavior similarity analysis on the tracks of the IMSI of each candidate new card and the IMSI of the old card obtained in the step (8), judging the same user when the behavior similarity is high, and otherwise, judging the same user as the different user.
The invention mainly identifies the card-changing user from three aspects, wherein the IMSI appearance time of the card-changing user is effectively connected, the residence place is consistent with the working place, and the behavior tracks are highly similar. If the above are satisfied, the users can be identified as the same user, otherwise, the users are not the same user. The invention has high recognition rate, is beneficial to connecting the information of the card changing users, keeps the integrity of data and improves the accuracy of urban population analysis.
Detailed Description
The specific implementation mode of the invention is as follows:
(1) data acquisition: and acquiring and storing the position of the base station where each IMSI identification number is located in a statistical area and the time information of entering and exiting the base station in a time period by utilizing the signaling data of the telecom operator to obtain the moving track data of each IMSI.
(2) Data preprocessing: carrying out interpolation compensation on missing signaling entering and exiting a base station, and if a user only enters a certain base station time and does not leave the base station time or only leaves the certain base station time and does not enter the base station time in a statistical time period, carrying out interpolation on missing data, wherein interpolation time points are the starting time and the ending time of the statistical time period;
for example, a T user enters sector X at 21:00:00 on day 1 of 6 month, leaves sector X at 7:00:00 on day 2 of 6 month, and the T user enters sector Y at 22:00:00 on day 2 of 6 month, and leaves at 7:00: 00:00 on day 3 of 6 month, and when the information of the T user on day 2 of 6 month is collected, the time point of entering sector X and the time point of leaving sector Y are missing, so that it is necessary to interpolate the time point of entering sector X at 00:00: 00:00 on day 2 of 6 month, and the time point of leaving sector Y at 23:59:59 on day 2 of 6 month.
(3) And (3) judging the logged-out user: and in the statistical time period, if a certain mobile phone signaling suddenly disappears and continuously disappears for more than a set time, the card is considered to be cancelled, and the IMSI is screened out and marked as an old card.
E.g., IMSI-01 has not appeared after month 5 and has not appeared in the corresponding city for 1 month (30 days), it can be determined that IMSI-0 has been deregistered.
(4) Judging the residence of the old card: reading the track data of a certain time period before the old card signaling disappears, and counting the track data of the old card signaling in the time period every day by 21:00 to the next day 6:00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the residence place.
For example, the residence time of the user under the base station connected between 21:00 and 6:00 and under the base station is respectively: if the base station X1 is connected for 3 hours, the base station X2 is connected for 4 hours, and the base station X3 is connected for 1 hour, it can be determined that the geographic location corresponding to the base station X2 is the residence of the user a.
In order to avoid the influence of a temporary place of residence, such as a temporary business trip, on the place of residence determination, it is possible to select a place of residence within a certain time and comprehensively determine whether or not the place of residence is the place of residence. If the selected time period is one month (30 days), if the T user lives 22 days at A1, 2 days at A2, and 6 days at A3, the T residence can be considered to be A1.
(5) The old card is judged in the working place: reading the track data of a certain time period before the old card signaling disappears, and counting the track data in the time period, wherein the track data is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place;
for example, the base stations and the stay time of the user connecting from 9 pm to 6 am are respectively: if the base station X1 is connected for 3 hours, the base station X2 is connected for 4 hours, and the base station X3 is connected for 1 hour, it can be determined that the geographic location corresponding to the base station X2 is the working place.
Because the working place is generally a working day, and in order to avoid the influence of going out from a temporary area, such as temporary business trips, and the like, the working place in a certain time can be selected to comprehensively determine whether the place is the working place. If a working day in a month (30 days) is selected for judgment, if the working day in a month is 21 days, the T user works for 15 days at A1, 2 days at A2 and 4 days at A3, the working place of T can be judged to be A1.
(6) And (3) discovering a new card: finding IMSIs newly appeared in the old card residence base station within a certain time after old card signaling disappears, and taking the newly appeared IMSIs as new cards to be screened;
for example, it is determined that IMSI-0 is a deregistered IMSI, a base station where a residence place of one month (30 days) before the IMSI deregistration is located is found, all IMSIs that newly appear in 7-10 after the base station deregisters IMSI-0 are found, and some of the new IMSIs may be the same user as IMSI-0, and further screening and determination are required.
(7) Screening for new cards according to residence: counting each new card 21:00 to the next day 6:00, further counting the stay time of each base station, and judging the geographical position corresponding to the base station with the longest stay time as the residence place; and screening out new cards with the same residence places as the old cards, and further screening according to the working places.
The residence of the new card is determined in the same way as the old card, but the time of the moving track is selected to be one month (30 days) after the new card appears.
By this step, the new cards are narrowed down and then further screened on a job-by-job basis.
(8) Screening new cards according to job site: for the new cards screened out according to the same residence, each new card is counted in a certain time period, wherein the counting time period is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place; a new card that works the same as the old card is taken as a candidate new card.
The new card is determined operationally in the same way as the old card, but the time of its trajectory is chosen to be one month (30 days) after the new card appears.
By this step, the range of the new card is further narrowed, and the screened new card is used as a candidate new card for performing the determination of the track similarity with the old card.
(9) And (4) performing behavior similarity analysis on the tracks of the IMSI of each candidate new card and the IMSI of the old card obtained in the step (8), judging the same user when the behavior similarity is high, and otherwise, judging the same user as the different user.
The concrete method for analyzing the behavior similarity comprises the following steps:
(91) respectively counting the occurrence frequency or residence time of each IMSI in each base station within a certain time period according to the moving tracks of the old card and each new card, marking the IMSI as PF, and the average value of the occurrence frequency or residence time of all IMSIs in each base station as GF, wherein the PF value is averaged by day, and the GF value is averaged by day and is normalized; and performing PF/GF calculation by using the PF value and the GF value after normalization to obtain the PF-IGF value of each IMSI.
PF (person frequency) means the staying time or visiting frequency of a specific person (mobile phone user) at a certain space-time position, GF (Group frequency) means the average value of the staying time or visiting frequency of a Group (a Group of mobile phone users) at the corresponding space-time position, IGF (insulin Group frequency) is the negation of GF, PF-IGF is the joint operation of GF as denominator and PF as numerator. PF-IGF is expected to prominently reflect that a user often visits a particular spatiotemporal location, while other users within the population are not so enthusiastic about the area. In other words, a person with a high PF-IGF at a location indicates that the location can "represent" or "characterize" the user's behavioral trajectory to a considerable degree.
The space-time trajectory of the mobile phone user can be represented in a vector mode. For a certain temporal spatial range and background population, the behavior of Person [ i ] can be characterized using the following vector:
PF-IGF[i]＝[PF-IGF[i,1],PF-IGF[i,2],…PF-IGF[i,j],…PF-IGF[i,N]]
and when the PF value, the GF value and the PF-IGF value of the old card and each new card are calculated, calculating according to all base stations visited within 30 days before the old card disappears and all base stations visited within 30 days after each new card appears.
(92) Calculating the cosine value cos theta of the included angle between the IMSI of the old card and the PF-IGF value of each new card by adopting the following formula:
wherein A isiPF-IGF value, B, indicating the old card at the ith base stationiA PF-IGF value indicating that a new card is at the ith base station, i is 1, 2, … … n;
the cosine similarity is also called cosine similarity, and the similarity of two vectors is evaluated by calculating the cosine value of the included angle of the two vectors. The cosine similarity is to draw the vector into the vector space according to the coordinate value, such as the most common two-dimensional space, to obtain the included angle between them, and obtain the cosine value corresponding to the included angle, and the cosine value can be used to represent the similarity of the two vectors. The smaller the included angle is, the closer the cosine value is to 1, and the more identical the directions are, the more similar; the larger the angle, the closer the cosine values are to 0, the closer they are to being orthogonal, and the poorer the similarity.
The space-time trajectory of the mobile phone user behavior directly reflects the spatial position behavior of the mobile phone user, and the similarity of every two mobile phone users can be analyzed by using the cosine similarity index of the included angle for PF-IGF attribute values of different users in a plurality of areas.
(93) And according to the cosine similarity theory, judging the behavior similarity of the old card and the new card by calculating the cosine value cos theta of the included angle.
The cosine value cos theta of the included angle between the old card and the new card is larger, and the behavior tracks of the old card and the new card are closer; the smaller the value of the cosine of the angle cos θ, the less the behavior locus of the two is irrelevant. The cosine value of the included angle is equal to 1, which means that the moving tracks of the two IMSIs are completely the same, and equal to 0 means that the moving tracks of the two IMSIs are completely unrelated.
When the method is used for judging, the new card IMSI with the cosine value cos theta of the included angle with the old card IMSI exceeding a certain threshold value is judged to be the same user with the old card IMSI.
According to the empirical value, when the cosine value of the included angle between two IMSIs exceeds 0.9, it means that the moving track heights of the two IMSIs are the same. Therefore, in the practice of the present invention, the threshold value may be set to 0.9.
Claims (8)
1. An intelligent identification method for a mobile phone card changing user is characterized by comprising the following steps:
(1) data acquisition: acquiring and storing the position of the base station where each IMSI identification number is located in a statistical area and the time information of base station entering and exiting in a time period by utilizing signaling data of a telecom operator to obtain the moving track data of each IMSI;
(2) data preprocessing: carrying out interpolation compensation on missing signaling entering and exiting a base station, and if a user only enters a certain base station time and does not leave the base station time or only leaves the certain base station time and does not enter the base station time in a statistical time period, carrying out interpolation on missing data, wherein interpolation time points are the starting time and the ending time of the statistical time period;
(3) and (3) judging the logged-out user: in the statistical time period, if a certain mobile phone signaling suddenly disappears and continuously disappears for more than a set time, the card is considered to be cancelled, the IMSI is screened out and marked as an old card;
(4) judging the residence of the old card: reading the track data of a certain time period before the old card signaling disappears, and counting the track data of the old card signaling in the time period every day by 21:00 to the next day 6:00, further counting the stay time of each base station, and judging the geographical position corresponding to the base station with the longest stay time as the residence place;
(5) the old card is judged in the working place: reading the track data of a certain time period before the old card signaling disappears, and counting the track data in the time period, wherein the track data is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place;
(6) and (3) discovering a new card: finding IMSIs newly appeared in the old card residence base station within a certain time after old card signaling disappears, and taking the newly appeared IMSIs as new cards to be screened;
(7) screening for new cards according to residence: counting each new card 21:00 to the next day 6:00, further counting the stay time of each base station, and judging the geographical position corresponding to the base station with the longest stay time as the residence place; screening out new cards with the same residence places as the old cards, and further screening according to the working places;
(8) screening new cards according to job site: and (4) counting new cards screened out in the step (7) according to the same residence places, wherein each new card is 9: 00-18: 00, further counting the stay time of each base station, and determining the geographical position corresponding to the base station with the longest stay time as the working place; taking a new card which works in the same place as the old card as a candidate new card;
(9) and (3) judging the behavior similarity: and (4) performing behavior similarity analysis on the tracks of the IMSI of each candidate new card and the IMSI of the old card obtained in the step (8), judging the same user when the behavior similarity is high, and otherwise, judging the same user as the different user.
2. The intelligent identification method for the mobile phone card changing user according to claim 1, characterized in that: the statistical time period described in steps (1) to (3) is 30 consecutive days.
3. The intelligent identification method for the mobile phone card changing user according to claim 1, characterized in that: and (5) judging the residence place and the working place of the old card in the step (4) and the step (5) according to the track data 30 days before the old card signaling disappears.
4. The intelligent identification method for the mobile phone card changing user according to claim 1, characterized in that: and (4) finding a new card in the step (6), wherein the new IMSI appears in the base station where the old card resides within 7-10 days after the old card signaling disappears.
5. The intelligent identification method for the mobile phone card changing user according to claim 1, characterized in that: and (4) determining the residence and working places of the new card in the step (7) and the step (8) according to the moving track of the new card for 30 days continuously after the new card appears.
6. The intelligent identification method for the mobile phone card changing user according to claim 1, characterized in that: and (4) judging the behavior similarity in the step (9), wherein the specific method is as follows:
(91) respectively counting the number of times of each IMSI appearing in each base station or the residence time PF within a certain time period and the average value GF of the number of times of all IMSIs appearing in each base station or the residence time according to the moving tracks of the old card and each new card, wherein the PF value is averaged by days, and the GF value is averaged by people and is normalized; PF/GF calculation is carried out by using the normalized PF value and GF value to obtain the PF-IGF value of each IMSI;
(92) calculating the cosine value cos theta of the included angle between the IMSI of the old card and the PF-IGF value of each new card by adopting the following formula:
wherein A isiPF-IGF value, B, indicating the old card at the ith base stationiIndicating the PF-IGF value of a new card at the ith base station, i ═ 1, 2,……n；
(93) and judging the behavior similarity of the old card and the new card according to the obtained cosine value cos theta of the included angle: the more the cosine value cos theta of the included angle is increased, the more the moving behavior tracks of the old card and the new card are similar; the smaller the value of the cosine value cos theta of the included angle is, the more irrelevant the activity behavior track of the old card and the new card is; and judging the new card IMSI with the cosine value cos theta of the included angle with the old card IMSI exceeding a certain threshold value as the same user as the old card IMSI.
7. The intelligent identification method for the mobile phone card changing user according to claim 6, characterized in that: in step (91), the PF value, GF value, and PF-IGF value of the old card and each new card are calculated, respectively, based on all base stations visited within 30 days before the old card disappeared and all base stations visited within 30 days after each new card appeared.
8. The intelligent identification method for the mobile phone card changing user according to claim 6, characterized in that: the threshold is 0.9.
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