CN107257419B - One kind quantifying estimation method based on Bayesian analysis interpersonal relationships - Google Patents
One kind quantifying estimation method based on Bayesian analysis interpersonal relationships Download PDFInfo
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- CN107257419B CN107257419B CN201710355788.1A CN201710355788A CN107257419B CN 107257419 B CN107257419 B CN 107257419B CN 201710355788 A CN201710355788 A CN 201710355788A CN 107257419 B CN107257419 B CN 107257419B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2218—Call detail recording
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Abstract
The invention discloses one kind to quantify estimation method based on Bayesian analysis interpersonal relationships, by analyzing address list, message registration, short message record, according to different weight elements, calculate target person and the relationship assessment value between other people, and emphasis investigation officer is screened by the height of relationship assessment value, improve the efficiency of public security technical search.
Description
Technical field
The present invention relates to fields of communication technology, and in particular to one kind quantifies valuation side based on Bayesian analysis interpersonal relationships
Method.
Background technique
Current all criminal offences all interconnect networking, mobile.It is stored in intelligent mobile terminal and crime related content,
The government bodies such as public security organs are associated the interpersonal relationships valuation between people from the electronic data in smart phone, to analyze and
Target person people in close relations usually plays the role of the detection of case vital.
During practical cracking of cases, call is generally comprised to the electronic data analysis in the mobile terminal of target person
Record analysis and short message record and analyze, and common way is manually to carry out recording by record and short message and remembering in address list
The contact person of record is associated, and then goes out the contact person in close relations with target person according to information siftings such as connection frequencies.So
And the analysis of character relation not only heavy workload, the serious manpower and material resources time resource for occupying personnel in charge of the case, simultaneously because content
Cumbersome, personnel in charge of the case is easy to ignore certain important informations.
Present invention is primarily concerned with points: how to quickly move through to the information inside mobile terminal, to related to target person
Communication Personnel carry out close relation degree analyzing, and quantization valuation carried out to the tightness degree of relationship, solution is comformed multi-joint system
Emphasis personnel are quickly screened in people, facilitate personnel in charge of the case's pooling of resources key breakthrough.
Summary of the invention
For problem of the prior art, the present invention proposes that a kind of Bayesian analysis interpersonal relationships that is based on quantifies estimation method,
By analyzing address list, message registration, short message record, according to different weight elements, target person and other are calculated
Relationship assessment value between people, and emphasis investigation officer is screened by the height of relationship assessment value, improve the effect of public security technical search
Rate.
Used technical solution is the present invention to solve above-mentioned technical problem:
The present invention provides a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, comprising the following steps:
S1 extracts address list, message registration and the short message record of target person, according to factfinding result to having defined
The relation value of interpersonal relationships carries out initial assignment, the actual relationship value as clear interpersonal relationships；
S2 carries out the association of address list and message registration and the association of address list and short message record, for statistical analysis,
Obtain target person and each relationship valuation impact factor for contacting the human world value, and with the value of impact factor divide target person and
The relationship level of contact person；
S3 initializes the weight of each impact factor, while relationship level value is arranged to different relationship levels, calculates bright
The true contact person of interpersonal relationships and the relationship valuation of target person, in conjunction with clear interpersonal relationships actual relationship value on each influence
The weight of the factor is reversely adjusted；S4 utilizes the pass of the weight calculation All Contacts of the obtained each impact factor of step S3
It is valuation.
Preferably, relationship valuation impact factor described in step S2 include: talk times day accounting, account for duration of call day
Than, short message transmission times day accounting, short message content sensitive word score day accounting, short message number of words day accounting.
Preferably, dividing target person and the relationship of contact person etc. according to the value of each impact factor described in step S3
Grade specifically: according to talk times day accounting, duration of call day accounting, short message transmission times day accounting, short message content sensitive word
Score day accounting, the size of the value of short message number of words day accounting relationship level is divided into close relationship, medium relationship and conventional relationship.
Preferably, being carried out according to the following formula in step S3 to the method for adjustment of weight:
Wherein PiIndicate the relation value of i-th of contact person, wjFor the weight of j-th of impact factor, xjFor j-th influence because
The corresponding relationship level value of son；Weight value range described in step S3 is w ∈ (0.5,10).
Preferably, this method further includes step S5: after calculating the relationship valuation of the contact person of clear interpersonal relationships, also
Rounding need to be homogenized to relationship valuation using following formula to handle:
By each relationship valuation be mapped to homogenizing be rounded (0,1 ..., 100), then arranged and exported according to descending.
The present invention is by carrying out close relation journey to Communication Personnel relevant with suspect to the information inside mobile terminal
Degree analysis, and quantization valuation is carried out to the tightness degree of relationship, valuation value range is 0 to 100, wherein 0 indicates uncorrelated,
100 indicate to be closely related.It mainly solves to comform quickly to screen emphasis personnel in more contact persons, facilitates personnel in charge of the case's pooling of resources weight
Point is broken through.
Detailed description of the invention
Fig. 1 is method flow diagram；
Specific embodiment
Below in conjunction with the accompanying drawings and embodiment the invention will be further described.
As shown in Figure 1, the present invention, which provides one kind, quantifies estimation method, including following step based on Bayesian analysis interpersonal relationships
It is rapid:
S1 extracts address list, message registration and the short message record of target person, according to factfinding result to having defined
The relation value of interpersonal relationships carries out initial assignment, the actual relationship value as clear interpersonal relationships；
In party, personnel in charge of the case can determine relation value, such as man and wife 95, sweet heart 98, parent by factfinding
87 etc. set the interpersonal relationships of suspicion according to investigation thing by personnel in charge of the case.These values are different according to object.
S2 carries out the association of address list and message registration and the association of address list and short message record, for statistical analysis,
Obtain target person and each relationship valuation impact factor for contacting the human world value, and with the value of impact factor divide target person and
The relationship level of contact person；
Relationship valuation impact factor include: talk times day accounting, duration of call day accounting, account for short message transmission times day
Than, short message content sensitive word score day accounting, short message number of words day accounting.
S3 initializes the weight of each impact factor, while relationship level value is arranged to different relationship levels, calculates bright
The true contact person of interpersonal relationships and the relationship valuation of target person, such as close relationship grade point are 15, and medium relationship is 10, general
Clearance system is 5.
Such as: address list, message registration and short message record are analyzed according to following table:
Wherein short message sensitive word score calculates the word only counted in known dictionary, such as: if there is " dear "
Short message sensitive word score+100, the short message sensitive word score -50 if there is " wretch ".This dictionary is provided by other systems, not
The emphasis of the technical program.
Rounding is homogenized to relationship valuation using following formula to handle:
By each relationship valuation be mapped to homogenizing be rounded (0,1 ..., 100), obtain final interpersonal relationship evaluation value, then root
It arranges and exports according to descending.
In conjunction with the actual relationship value of clear interpersonal relationships, the weight of each impact factor is reversely adjusted according to the following formula
It is whole；
Wherein PiIndicate the relation value of i-th of contact person, wjFor the weight of j-th of impact factor, xjFor j-th influence because
The corresponding relationship level value of son；Wherein the weight value range is w ∈ (0.5,10).
Such as: known P10,P24,P30Artificially determining actual relationship value be 50,70,90, reversely adjust w1,...,w5Make
It is close with actual relationship value that relationship valuation must be calculated, deviation is less than or equal to 5, that is, completes adjustment, obtains final interpersonal pass
It is assessed value.
S4 is estimated using the weight of the obtained each impact factor of step S3 using the relationship that formula (1) calculates All Contacts
Value.
The part not illustrated in specification is the prior art or common knowledge.The present embodiment is merely to illustrate the invention,
Rather than limit the scope of the invention, the modifications such as equivalent replacement that those skilled in the art make the present invention are considered
It falls into invention claims institute protection scope.
Claims (6)
1. one kind quantifies estimation method based on Bayesian analysis interpersonal relationships, which comprises the following steps:
S1 extracts address list, message registration and the short message record of target person, according to factfinding result to clearly interpersonal
The relation value of relationship carries out initial assignment, the actual relationship value as clear interpersonal relationships；
S2 carries out the association of address list and message registration and the association of address list and short message record, for statistical analysis, obtains
The value of target person and each relationship valuation impact factor for contacting the human world, and divide target person with the value of impact factor and contact
The relationship level of people；
S3 initializes the weight of each impact factor, while relationship level value is arranged to different relationship levels, calculates clear people
The contact person of border relationship and the relationship valuation of target person, in conjunction with clear interpersonal relationships actual relationship value to each impact factor
Weight reversely adjusted；
S4 utilizes the relationship valuation of the weight calculation All Contacts of each impact factor adjusted.
2. according to claim 1 a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, it is characterised in that: step
Relationship valuation impact factor described in rapid S2 include: talk times day accounting, duration of call day accounting, account for short message transmission times day
Than, short message content sensitive word score day accounting, short message number of words day accounting.
3. according to claim 2 a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, it is characterised in that: step
The relationship level of target person and contact person is divided described in rapid S2 according to the value of each impact factor specifically: according to call time
A few days accounting, duration of call day accounting, short message transmission times day accounting, short message content sensitive word score day accounting, short message number of words
Relationship level is divided into close relationship, medium relationship and conventional relationship by the size of the value of day accounting.
4. according to claim 3 a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, it is characterised in that: step
The calculation method of relationship valuation described in rapid S3, such as formula (1):
Wherein PiIndicate the relationship valuation of i-th of contact person, wjFor the weight of j-th of impact factor, xjFor j-th of impact factor
Corresponding relationship level value.
5. according to claim 4 a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, it is characterised in that: meter
After calculating the relationship valuation of the contact person of clear interpersonal relationships, also need to be homogenized rounding processing to relationship valuation using following formula:
By each relationship valuation be mapped to homogenizing be rounded (0,1 ..., 100), then arranged and exported according to descending.
6. according to claim 5 a kind of based on Bayesian analysis interpersonal relationships quantization estimation method, it is characterised in that: step
Weight value range described in rapid S3 is w ∈ (0.5,10).
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| CN110109908B (en) * | 2017-12-29 | 2023-06-06 | 成都蜀信信用服务有限公司 | Analysis system and method for mining potential relationship of person based on social basic information |
| CN108668023A (en) * | 2018-04-28 | 2018-10-16 | 北京小米移动软件有限公司 | Communication message processing method and device |
| US11558339B2 (en) * | 2019-05-21 | 2023-01-17 | International Business Machines Corporation | Stepwise relationship cadence management |
| CN110599015A (en) * | 2019-08-29 | 2019-12-20 | 武汉赛可锐信息技术有限公司 | Interpersonal relationship estimation method, interpersonal relationship estimation device, interpersonal relationship estimation equipment and interpersonal relationship estimation medium based on big data |
| CN110659335A (en) * | 2019-09-26 | 2020-01-07 | 四川科瑞软件有限责任公司 | Analysis method for recessive drug addicts |
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| US20040122803A1 (en) * | 2002-12-19 | 2004-06-24 | Dom Byron E. | Detect and qualify relationships between people and find the best path through the resulting social network |
| CN1987852A (en) * | 2005-12-21 | 2007-06-27 | 腾讯科技（深圳）有限公司 | Method and device for determining communication object attribute according to news content |
| CN102111730B (en) * | 2011-04-02 | 2013-07-31 | 北京互通无限科技有限公司 | Mobile terminal address list-based information-distributing method and system |
| CN103455842B (en) * | 2013-09-04 | 2015-06-03 | 福州大学 | Credibility measuring method combining Bayesian algorithm and MapReduce |
| CN103634473B (en) * | 2013-12-05 | 2016-03-23 | 南京理工大学连云港研究院 | Based on mobile phone method for filtering spam short messages and the system of Naive Bayes Classification |
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