CN108182639A - A kind of network forum microcommunity determines method and system - Google Patents
A kind of network forum microcommunity determines method and system Download PDFInfo
- Publication number
- CN108182639A CN108182639A CN201711469236.XA CN201711469236A CN108182639A CN 108182639 A CN108182639 A CN 108182639A CN 201711469236 A CN201711469236 A CN 201711469236A CN 108182639 A CN108182639 A CN 108182639A
- Authority
- CN
- China
- Prior art keywords
- user
- forum
- target network
- user member
- text
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention discloses a kind of network forum microcommunities to determine method and system.This method includes：The target network forum text in each target network forum is obtained from multiple target network forums；The user name of the author that posts of each target network forum text and the user name of the author of all follow-up are extracted, obtains user member set；User member set by predetermined threshold value is combined, obtains multigroup user member set group；User member identical in all user member sets is obtained in each user member set group；Judge whether the number of identical user member is more than preset user membership in each user member set group；If more than preset user membership, then the set that identical user member is formed is determined as network forum microcommunity.The present invention can effectively determine the accompanying relationship between the internet forum user there is no close follow-up behavior, greatly improve accuracy rate and completeness that network forum microcommunity determines.
Description
Technical field
The present invention relates to technical field of network information safety, more particularly to a kind of network forum microcommunity determine method and
System.
Background technology
Network forum microcommunity, also referred to as agglomerates subgroup, refers to the set of one group of user active in network forum, in set
User is carried out with higher frequency for specific topics to be discussed, and the power that makes any difference, such as successfully build topic discussion hot spot,
New high value knowledge etc. is generated in user interaction.And find network forum microcommunity user member, be network public-opinion management with
Intervene, especially the precondition of network forum sensitive information management and control.Accordingly, it is determined that network forum microcommunity becomes particularly to weigh
It will.
Currently, extraction and determining network microcommunity on the basis of the relational network of forum user, mainly including following four
Formalize process angle：The reciprocity of relationship；Proximity or accessibility between subgroup member；It is closed between the internal members of subgroup
The frequency of system；Relationship density between the internal members of subgroup relative to the relationship between inside and outside portion member density.Above-mentioned four kinds
Formalization process angle embodies network attribute based on microcommunity discovery procedure, and corresponding microcommunity extracting method is mainly wrapped
Include factions, n- factions, n- sects, k- clumps, k- cores etc..It can cause between each subgroup in view of n- sects, k- clumps, k- kernel methods
There is no the members repeated, and this is contradicted with across the group phenomenon of network forum member in reality, thus network forum into
Mainly using factions, n- factions analysis method in the analysis of microcommunity between member.
Forum's microcommunity is determined using factions, n- factions analysis method, specifically includes following steps：(1) extraction network opinion
User's posts and follow-up data in altar；(2) according to posting and follow-up behavior between user, the exchange frequency between user is extracted；
(3) integral net is established according to exchange relationship between internet forum user；(4) the Rule Extraction factions of foundation setting or n- factions,
In, if extraction factions, the search rule of factions is " the complete subgraph of maximum for including at least three points "；If extract n- groups
System, then the search rule of n- factions is " the distance maximum in any n- factions between user in integral net is no more than n "；(4)
Extract the user member in factions or n- factions, as network forum microcommunity.
The factions that use at present, n- factions analysis method determine forum's microcommunity, by posting to user, follow-up behavior
The statistics of frequency and analysis determine forum microcommunity member, can only be true by the internet forum user with close follow-up behavior
It is set to forum microcommunity member, and will cannot be simultaneously active in a certain specific subject, but direct follow-up relationship does not occur
Member is determined as forum microcommunity member, and which results in the omissions of forum microcommunity member so that determining forum's microcommunity
Accuracy and completeness it is not high.
Invention content
Based on this, it is necessary to provide a kind of network forum microcommunity and determine method and system, forum's microcommunity can be improved
Determining accuracy and completeness.
To achieve the above object, the present invention provides following schemes：
A kind of network forum microcommunity determines method, the method includes：
The target network forum text in each target network forum is obtained from multiple target network forums, each
Target network forum text includes post time, topic of posting, the author that posts, all follow-up posted and institute
State the author of all follow-up；
The user name of the author that posts of each target network forum text of extraction and all follow-up
The user name of author, obtains multiple user members, and the multiple user member forms each target network forum text
User member set；
The user member set by predetermined threshold value is combined, obtains multigroup user member set group, it is described default
Threshold value is the number of the user member set in each user member set group, and the predetermined threshold value is greater than or equal to
2；
User member identical in all user member sets is obtained in each user member set group；
Judge whether the number of the identical user member is more than preset user in each user member set group
Membership, the preset user membership are greater than or equal to 2；
If the number of the identical user member is more than the preset user membership, by the identical use
The set that family member is formed is determined as network forum microcommunity.
Optionally, the target network opinion obtained from multiple target network forums in each target network forum
Altar text, specifically includes：
According to preset themes, network forum data are retrieved, obtain keyword set；
The mesh in each target network forum is obtained from multiple target network forums according to the keyword set
Mark network forum text.
Optionally, it is described to obtain each target network from multiple target network forums according to the keyword set
Target network forum text in forum, specifically includes：
According to the keyword set, multiple target networks are captured from multiple target network forums using data retrieval tool
Network forum text data；
According to the multiple target network forum text data, the target network in each target network forum is obtained
Forum's text.
Optionally, it is described obtained in each user member set group user identical in all user member sets into
Member, specifically includes：
Calculate the intersection of multiple user member sets in each user member set group, each member in the intersection
Element represents an identical user member.
The present invention also provides a kind of network forum microcommunities to determine system, the system comprises：
Text acquisition module, for obtaining the target in each target network forum from multiple target network forums
Network forum text, each target network forum text include post time, topic of posting, the author that posts, the hair
All follow-up of note and the author of all follow-up；
User name extraction module, for extracting the user name for the author that posts described in each target network forum text
And the user name of the author of all follow-up, multiple user members are obtained, the multiple user member forms each described
The user member set of target network forum text；
Composite module for the user member set to be combined by predetermined threshold value, obtains multigroup user member's collection
It is combined, the predetermined threshold value is the number of the user member set in each user member set group, described default
Threshold value is greater than or equal to 2；
User member's acquisition module is identical in all user member sets for being obtained in each user member set group
User member；
Judgment module, for judging whether the number of the identical user member is big in each user member set group
In preset user membership, the preset user membership is greater than or equal to 2；
Microcommunity determining module, if the number for the identical user member is more than the preset user member
The set that the identical user member is formed then is determined as network forum microcommunity by number.
Optionally, the text acquisition module, specifically includes：
Keyword set acquiring unit, for according to preset themes, being retrieved to network forum data, obtaining keyword
Set；
Text acquiring unit, for obtaining each mesh from multiple target network forums according to the keyword set
Mark the target network forum text in network forum.
Optionally, the text acquiring unit, specifically includes：
Text data obtains subelement, for according to the keyword set, using data retrieval tool from multiple targets
Multiple target network forums text data is captured in network forum；
Text obtains subelement, for according to the multiple target network forum text data, obtaining each target
Target network forum text in network forum.
Optionally, user member's acquisition module, specifically includes：
Computing unit, it is described for calculating the intersection of multiple user member sets in each user member set group
One identical user member of each element representation in intersection.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention proposes a kind of network forum microcommunity and determines method and system, the method includes：From multiple targets
The target network forum text in each target network forum is obtained in network forum；Extract each target network forum text
The user name of author of posting and the user name of the author of all follow-up, obtain multiple user members, and multiple user members are formed
The user member set of each target network forum text；User member set by predetermined threshold value is combined, is obtained multigroup
User's member set's group；User member identical in all user member sets is obtained in each user member set group；
Judge whether the number of identical user member is more than preset user membership in each user's member set's group；It is if identical
The number of user member be more than preset user membership, then the set that identical user member is formed is determined as network
Forum's microcommunity.It posts the invention avoids user, the statistics of follow-up behavior frequency and analysis, can effectively find to be not present
Accompanying relationship between the internet forum user of close follow-up behavior greatly improves accuracy rate that network forum microcommunity finds and complete
Property it is horizontal；It by the setting to predetermined threshold value, and then sets with number, realizes the control to the intensity of accompanying relationship；And
And also avoid and post between internet forum user member, follow-up behavior extraction and cataloged procedure, determining net can be effectively improved
The efficiency of network forum microcommunity.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart that a kind of network forum microcommunity of the embodiment of the present invention determines method；
Fig. 2 is the structure chart that a kind of network forum microcommunity of the embodiment of the present invention determines system.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is the flow chart that a kind of network forum microcommunity of the embodiment of the present invention determines method.
Referring to Fig. 1, the network forum microcommunity of embodiment determines method, including：
Step S1：The target network forum text in each target network forum is obtained from multiple target network forums
This, each target network forum text include posting the time, topic of posting, the author that posts, it is described post it is all with
Note and the author of all follow-up.It specifically includes：
According to preset themes, network forum data are retrieved, obtain keyword set K={ k1,k2,...,kn,
Middle n is keyword number, in order to improve the complete degree of data research result, keyword k1,k2,…,knBetween there is semantic substitute
Property；
According to the keyword set K, multiple targets are captured from multiple target network forums using data retrieval tool
Network forum text data；
According to the multiple target network forum text data, the target network in each target network forum is obtained
Forum text ti, i=1,2 ..., m, numbers of the m for target network forum text, i-th of target network forum text tiContent
Include the author of time of posting, topic of posting, the author that posts, all follow-up posted and all follow-up.
Step S2：The user name of the author that posts of each target network forum text of extraction and described all
The user name of the author of follow-up, obtains multiple user members, and the multiple user member forms each target network forum
The user member set of text.
Specifically, for target network forum text ti, extraction target network forum text tiThe author that posts user name
And the user name of the author of all follow-up, obtain target network forum text tiUser member setWherein, l is target network forum text tiThe number of middle user member；
For m target network forum text t1,t2,…,tm, obtain corresponding user member set U1,U2,…,Um。
Step S3：The user member set by predetermined threshold value is combined, obtains multigroup user member set group, institute
The number that predetermined threshold value is the user member set in each user member set group is stated, the predetermined threshold value is more than
Or equal to 2.
Specifically, setting predetermined threshold value v >=2, number of combinations are denoted asBy the user member set U in step S21,
U2,…,UmIt is combined, obtains by predetermined threshold value vGroup user's member set's group is as follows：
G1=U1,U2,…,Uv
G2=U1,U2,…,Uv-1,Uv+1。
…
Step S4：User member identical in all user member sets is obtained in each user member set group.Tool
Body includes：
Calculate the intersection R of multiple user member sets in each user member set group1、R2..., in the intersection
One identical user member of each element representation, wherein
R1=U1∩U2∩…∩Uv
R2=U1∩U2∩…∩Uv-1∩Uν+1
...
Step S5：Judge whether the number of the identical user member is more than in each user member set group to preset
User membership, the preset user membership be greater than or equal to 2.
Specifically, judge respectivelyWhether the number of middle element is greater than or equal to 2.
Step S6：If the number of the identical user member is more than the preset user membership, by described in
The set that identical user member is formed is determined as network forum microcommunity.
If specifically, R1The number of middle element is greater than or equal to 2, then R1For network forum microcommunity, result is otherwise abandoned
R1If R2The number of middle element is greater than or equal to 2, then R2For network forum microcommunity, result R is otherwise abandoned2, and so on, ifThe number of middle element is greater than or equal to 2, thenFor network forum microcommunity, result is otherwise abandoned
Network forum microcommunity in the present embodiment determines method, avoid user post, the statistics of follow-up behavior frequency
With analysis, it can effectively find accompanying relationship between the internet forum user there is no close follow-up behavior, greatly improve network
The accuracy rate and completeness that forum's microcommunity determines are horizontal；It by the setting to predetermined threshold value, and then sets with number, realizes
Control to the intensity of accompanying relationship；And it also avoids and posts between internet forum user member, follow-up behavior extraction and compile
Code process can effectively improve the efficiency of determining network forum microcommunity.
The present invention also provides a kind of network forum microcommunities to determine system, and Fig. 2 is a kind of network opinion of the embodiment of the present invention
Altar microcommunity determines the structure chart of system.
Referring to Fig. 2, the network forum microcommunity of embodiment determines system 20, specifically includes：
Text acquisition module 201, for being obtained from multiple target network forums in each target network forum
Target network forum text, each target network forum text include post time, topic of posting, the author that posts, institute
State the author of all follow-up posted and all follow-up.
The text acquisition module 201, specifically includes：
Keyword set acquiring unit, for according to preset themes, being retrieved to network forum data, obtaining keyword
Set；
Text acquiring unit, for obtaining each mesh from multiple target network forums according to the keyword set
Mark the target network forum text in network forum.
The text acquiring unit, specifically includes：
Text data obtains subelement, for according to the keyword set, using data retrieval tool from multiple targets
Multiple target network forums text data is captured in network forum；
Text obtains subelement, for according to the multiple target network forum text data, obtaining each target
Target network forum text in network forum.
User name extraction module 202, for extracting the use for the author that posts described in each target network forum text
The user name of the author of name in an account book and all follow-up, obtains multiple user members, and the multiple user member forms each
The user member set of target network forum text.
Composite module 203 for the user member set to be combined by predetermined threshold value, obtains multigroup user member
Collection is combined, and the predetermined threshold value is the number of the user member set in each user member set group, described pre-
If threshold value is greater than or equal to 2.
User member's acquisition module 204, for being obtained in all user member sets in each user member set group
Identical user member.
User member's acquisition module 204, specifically includes：
Computing unit, for calculating the intersection of multiple user member sets, each element representation in the intersection
One identical user member.
Judgment module 205, the number for judging the identical user member in each user member set group are
No to be more than preset user membership, the preset user membership is greater than or equal to 2.
Microcommunity determining module 206, if for the identical user member number be more than the preset user into
The set that the identical user member is formed then is determined as network forum microcommunity by member's number.
Network forum microcommunity in the present embodiment determines system, avoid user post, the statistics of follow-up behavior frequency
With analysis, it can effectively find accompanying relationship between the internet forum user there is no close follow-up behavior, greatly improve network
The accuracy rate and completeness that forum's microcommunity determines are horizontal；It by the setting to predetermined threshold value, and then sets with number, realizes
Control to the intensity of accompanying relationship；And it also avoids and posts between internet forum user member, follow-up behavior extraction and compile
Code process can effectively improve the efficiency of determining network forum microcommunity.
In this specification for system disclosed in embodiment, since it is corresponded to the methods disclosed in the examples, institute
With the fairly simple of description, reference may be made to the description of the method.
Specific case used herein is expounded the principle of the present invention and embodiment, and above example is said
The bright method and its core concept for being merely used to help understand the present invention；Meanwhile for those of ordinary skill in the art, foundation
The thought of the present invention, in specific embodiments and applications there will be changes.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (8)
1. a kind of network forum microcommunity determines method, which is characterized in that the method includes：
The target network forum text in each target network forum is obtained from multiple target network forums, it is each described
Target network forum text includes post time, topic of posting, the author that posts, all follow-up posted and the institute
There is the author of follow-up；
The post user name of author and the author of all follow-up of each target network forum text of extraction
User name, obtain multiple user members, the multiple user member forms the user of each target network forum text
Member set；
The user member set by predetermined threshold value is combined, obtains multigroup user member set group, the predetermined threshold value
For the number of the user member set in each user member set group, the predetermined threshold value is greater than or equal to 2；
User member identical in all user member sets is obtained in each user member set group；
Judge whether the number of the identical user member is more than preset user member in each user member set group
Number, the preset user membership are greater than or equal to 2；
If the number of the identical user member be more than the preset user membership, by the identical user into
The set that member is formed is determined as network forum microcommunity.
2. a kind of network forum microcommunity according to claim 1 determines method, which is characterized in that described from multiple targets
The target network forum text in each target network forum is obtained in network forum, is specifically included：
According to preset themes, network forum data are retrieved, obtain keyword set；
The target network in each target network forum is obtained from multiple target network forums according to the keyword set
Network forum text.
3. a kind of network forum microcommunity according to claim 2 determines method, which is characterized in that described according to the pass
Keyword set obtains the target network forum text in each target network forum from multiple target network forums, specifically
Including：
According to the keyword set, multiple target network opinions are captured from multiple target network forums using data retrieval tool
Altar text data；
According to the multiple target network forum text data, the target network forum in each target network forum is obtained
Text.
4. a kind of network forum microcommunity according to claim 1 determines method, which is characterized in that described in each user
User member identical in all user member sets is obtained in member set's group, is specifically included：
Calculate the intersection of multiple user member sets in each user member set group, each list of elements in the intersection
Show an identical user member.
5. a kind of network forum microcommunity determines system, which is characterized in that the system comprises：
Text acquisition module, for obtaining the target network in each target network forum from multiple target network forums
Forum's text, each target network forum text include posting the time, topic of posting, the author that posts, described post
All follow-up and the author of all follow-up；
User name extraction module, for extract the user name for the author that posts described in each target network forum text and
The user name of the author of all follow-up, obtains multiple user members, and the multiple user member forms each target
The user member set of network forum text；
Composite module for the user member set to be combined by predetermined threshold value, obtains multigroup user member set group,
The predetermined threshold value is the number of the user member set in each user member set group, and the predetermined threshold value is big
In or equal to 2；
User member's acquisition module, for obtaining use identical in all user member sets in each user member set group
Family member；
Judgment module, for judging it is pre- whether the number of the identical user member is more than in each user member set group
If user membership, the preset user membership be greater than or equal to 2；
Microcommunity determining module, if the number for the identical user member is more than the preset user membership,
The set that the identical user member is formed then is determined as network forum microcommunity.
6. a kind of network forum microcommunity according to claim 5 determines system, which is characterized in that the text obtains mould
Block specifically includes：
Keyword set acquiring unit, for according to preset themes, being retrieved to network forum data, obtaining keyword set
It closes；
Text acquiring unit, for obtaining each target network from multiple target network forums according to the keyword set
Target network forum text in network forum.
7. a kind of network forum microcommunity according to claim 6 determines system, which is characterized in that the text obtains single
Member specifically includes：
Text data obtains subelement, for according to the keyword set, using data retrieval tool from multiple target networks
Multiple target network forums text data is captured in forum；
Text obtains subelement, for according to the multiple target network forum text data, obtaining each target network
Target network forum text in forum.
8. a kind of network forum microcommunity according to claim 5 determines system, which is characterized in that the user member obtains
Modulus block, specifically includes：
Computing unit, for calculating the intersection of multiple user member sets in each user member set group, the intersection
In one identical user member of each element representation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711469236.XA CN108182639B (en) | 2017-12-29 | 2017-12-29 | Method and system for determining small group of internet forum |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711469236.XA CN108182639B (en) | 2017-12-29 | 2017-12-29 | Method and system for determining small group of internet forum |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108182639A true CN108182639A (en) | 2018-06-19 |
| CN108182639B CN108182639B (en) | 2021-04-09 |
Family
ID=62548733
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711469236.XA Active CN108182639B (en) | 2017-12-29 | 2017-12-29 | Method and system for determining small group of internet forum |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108182639B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765733A (en) * | 2014-01-02 | 2015-07-08 | 华为技术有限公司 | Method and device for analyzing social network event |
| EP2924634A1 (en) * | 2014-03-26 | 2015-09-30 | Samsung Electronics Co., Ltd | Method for grouping a plurality of devices and grouping system |
| CN105589935A (en) * | 2015-12-11 | 2016-05-18 | 成都陌云科技有限公司 | Social group recognition method |
| CN105653518A (en) * | 2015-12-25 | 2016-06-08 | 北京理工大学 | Specific group discovery and expansion method based on microblog data |
| CN105956184A (en) * | 2016-06-01 | 2016-09-21 | 西安交通大学 | Method for identifying collaborative and organized junk information release team in micro-blog social network |
| CN106156117A (en) * | 2015-04-07 | 2016-11-23 | 中国科学院信息工程研究所 | Hidden community core communication circle detection towards particular topic finds method and system |
| JP6036331B2 (en) * | 2013-01-23 | 2016-11-30 | 富士通株式会社 | Management method, management device, and management program |
-
2017
- 2017-12-29 CN CN201711469236.XA patent/CN108182639B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6036331B2 (en) * | 2013-01-23 | 2016-11-30 | 富士通株式会社 | Management method, management device, and management program |
| CN104765733A (en) * | 2014-01-02 | 2015-07-08 | 华为技术有限公司 | Method and device for analyzing social network event |
| EP2924634A1 (en) * | 2014-03-26 | 2015-09-30 | Samsung Electronics Co., Ltd | Method for grouping a plurality of devices and grouping system |
| CN106156117A (en) * | 2015-04-07 | 2016-11-23 | 中国科学院信息工程研究所 | Hidden community core communication circle detection towards particular topic finds method and system |
| CN105589935A (en) * | 2015-12-11 | 2016-05-18 | 成都陌云科技有限公司 | Social group recognition method |
| CN105653518A (en) * | 2015-12-25 | 2016-06-08 | 北京理工大学 | Specific group discovery and expansion method based on microblog data |
| CN105956184A (en) * | 2016-06-01 | 2016-09-21 | 西安交通大学 | Method for identifying collaborative and organized junk information release team in micro-blog social network |
Non-Patent Citations (1)
| Title |
|---|
| 陈鹏等: "虚拟社区中的参政议政群体挖掘研究", 《陕西科技大学学报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108182639B (en) | 2021-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Papadopoulos et al. | Popularity versus similarity in growing networks | |
| CN103258000B (en) | Method and device for clustering high-frequency keywords in webpages | |
| Serrano et al. | A novel agent-based rumor spreading model in twitter | |
| Prathap | The zynergy‐index and the formula for the h‐index | |
| Gao et al. | Modeling and predicting retweeting dynamics via a mixture process | |
| CN107341183A (en) | A kind of Website classification method based on darknet website comprehensive characteristics | |
| CN107704621A (en) | A kind of internet public feelings map visualization methods of exhibiting | |
| CN107180078A (en) | A kind of method for vertical search based on user profile learning | |
| Nasution et al. | Social network extraction based on Web: 3. The integrated superficial method | |
| Cong | Personalized recommendation of film and television culture based on an intelligent classification algorithm | |
| CN105205075B (en) | From the name entity sets extended method of extension and recommended method is inquired based on collaboration | |
| CN103455964A (en) | Case clue analyzing system and method based on case information | |
| CN108182639A (en) | A kind of network forum microcommunity determines method and system | |
| Zhang et al. | Evaluating the relationship between urban population growth and land expansion from a policymaking perspective: Ningbo, China | |
| CN104699747B (en) | A kind of approximate member's querying method based on high dimensional data filter | |
| Asgari et al. | Using an ant colony optimization algorithm for image edge detection as a threshold segmentation for OCR system | |
| Meilian et al. | Ahits-upt: A high quality academic resources recommendation method | |
| Lin et al. | Learning to rank with cross entropy | |
| CN104391866A (en) | Approximate membership query method based on high-dimension data filter | |
| CN105373539A (en) | Method and system for sharing ranking | |
| Gao et al. | Rumor detection model based on multimodal machine learning | |
| Gu et al. | A Novel Two-Stage Framework for User Identification Across Social Networks | |
| Gu et al. | Key analysis of smart tourism project setting and tourists' satisfaction degree based on data mining | |
| Sun et al. | Modeling and navigation of social information networks in metric spaces | |
| Johansson et al. | Topic propagation over time in internet security conferences: Topic modeling as a tool to investigate trends for future research |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |