CN110020375A - A kind of appraisal procedure of social network user influence power - Google Patents

A kind of appraisal procedure of social network user influence power Download PDF

Info

Publication number
CN110020375A
CN110020375A CN201711466980.4A CN201711466980A CN110020375A CN 110020375 A CN110020375 A CN 110020375A CN 201711466980 A CN201711466980 A CN 201711466980A CN 110020375 A CN110020375 A CN 110020375A
Authority
CN
China
Prior art keywords
user
influence power
power
influence
appraisal procedure
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
Application number
CN201711466980.4A
Other languages
Chinese (zh)
Other versions
CN110020375B (en
Inventor
邹风山
王晓东
杜威
姜楠
王海鹏
卢裕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenyang Siasun Robot and Automation Co Ltd
Original Assignee
Shenyang Siasun Robot and Automation Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenyang Siasun Robot and Automation Co Ltd filed Critical Shenyang Siasun Robot and Automation Co Ltd
Priority to CN201711466980.4A priority Critical patent/CN110020375B/en
Publication of CN110020375A publication Critical patent/CN110020375A/en
Application granted granted Critical
Publication of CN110020375B publication Critical patent/CN110020375B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to social networks research field technical fields, specifically disclose a kind of appraisal procedure of social network user influence power.User force is decomposed into customer relationship influence power and user resources influence power by the present invention, and wherein customer relationship influence power includes user 1 to 1 many-many relationship influence power of 1 relationship affect power and user.User resources influence power mainly includes invisible user resources influence power and Tangible User resource influence.Influence power of the customer relationship influence power with the cum rights of user resources influence power and for the user in current social networks.Influence power appraisal procedure provided by the invention focuses on customer relationship and user resources, and the influence power of user can be more accurately evaluated for both factors in social networks.

Description

A kind of appraisal procedure of social network user influence power
Technical field
The present invention relates to social networks research field, in particular to a kind of appraisal procedure of social network user influence power.
Background technique
In recent years, the demand with people to information and transmitting information is obtained is increasing, and social networks is to meet The good medium of these demands of people, so that social networks is rapidly developed, social networks is by each opposite One complicated virtual society of independent user's composition, it is the most popular network application of current internet, deep change The rule and mode of internet information spreading, such as social networks representative at present: microblogging, Renren Network, Facebook, Twitter etc..At any time, the interaction for participating in social networks everywhere becomes a kind of demand.Different region, varying environment User interconnects, and how to help user to identify most influential user in current social networks, facilitates user The high bean vermicelli user in some social networks is got to know, while also businessman being helped to filter out suitable product promotion person, it is another Aspect, the user of high-impact affect the spin for focus incident to a certain extent, reasonably guide these people And then control the public opinion direction application value with higher in the social networks.Online social networks gets rid of region because of it Limitation, relys more on the content that user is shown on the social networks, has lacked in traditional social networks between different user The trusting relationship established of face-to-face communication exchange.Therefore, several features are reasonably selected and then establish a more science Social network user influence power appraisal procedure have great importance.
On the one hand the social network user influence power appraisal procedure of current main-stream passes through the weight that PageRank is linked Assessment, in conjunction with the pass through mechanism of influence power, and then judge the influence power of some user.Some scholars use follower in network Quantity or transmission of news process judge the size of user force.But these methods need repeated iteration, Time complexity is higher, and general applicability is weaker.And all it is not involved with the i.e. influence power of a main aspect of influence power Key Relationships are influence power of the people to other people.One user establish influence power be because his content information for being exported or he The interpersonal resource grasped produces certain influence to other people, and then constructs personal influence power.
To sum up, the existing influence power appraisal procedure for user's individual in social networks, faces extensive social networks Scene, either be all difficult to meet the requirements on analytical effect and efficiency.
Summary of the invention
The appraisal procedure of social network user influence power provided by the invention, assessment social networks that can be accurate and effective The influence power of user.
The appraisal procedure of a kind of social network user influence power provided according to the present invention, comprising the following steps: (1) calculate User to 1 pair of 1 relationship affect power caused by bean vermicelli and to 1 many-many relationship influence power caused by participated in society user inside the group, And different weights are distributed, take and calculate customer relationship influence power;Wherein, user refers to 1 pair of 1 relationship affect power caused by bean vermicelli User occupies the ratio for total time being associated in social activity in family with its single bean vermicelli contacts time, and user hands in social activity It is past to refer to user with the summation of all beans vermicelli contacts time total time;1 many-many relationship influence power refers to that good friend of the user in community accounts for The ratio of community total user quantity, and carry out Macro or mass analysis user in its institute for each community number of users as corresponding weight The influence power of the community of participation;(2) influence power for calculating user's intangible resource and user's physical resources and generating respectively, and distribute Different weights take and obtain user resources influence power;Wherein, user's intangible resource influence power refers to the previous graduate college of user, profession It is field, work unit, expert's identity, bean vermicelli quantity, in close relations with certain big V with high bean vermicelli quantity, these information and structure The influence power built, user's physical resources influence power refer to the influence power of the output of the content due to user in social networks and generation, The weight parameter of user's intangible resource and user's physical resources influence power depends on the bean vermicelli quantity and User Activity institute shadow of user The ratio of the number of users rung;(3) customer relationship influence power and user resources influence power are combined, distributes different power respectively Weight, takes and calculates the final influence power of user.
Wherein, the weight proportion of 1 pair of 1 relationship affect power and 1 many-many relationship influence power is 4: 1.
Wherein, content output of the user in social networks includes the resource that user is pushed, the text including user's forwarding Chapter, picture, audio-video frequency media resource, and the activity initiated by user.
Wherein, intangible resource influence power is to use the pertinent statistical parameters of social networks quantity in social networks as base Plinth calculates the intangible resource influence power of user using Gaussian kernel density estimation.
Wherein, the social activity that the calculation method of physical resources influence power is carried out for user in the regular period can influence To number of users account for the ratio of current active number of users in the social networks, any active ues quantity is that all social networks are used The 20% of amount amount.
Wherein, the user uses 20% number of users before contacts frequency ranking to 1 pair of 1 relationship affect power caused by bean vermicelli According to being analyzed.
Wherein, it is described using based on the pertinent statistical parameters of social networks quantity in social networks to make user's bean vermicelli Quantity is as parameter.
Wherein, in the case of user is the expert in certain field, user's bean vermicelli is used when assessing intangible resource influence power The influence power mean value of strong preceding 20% user of influence power is as adjusting parameter in quantity.
Wherein, the weight proportion of both user resources influence power and customer relationship influence power is 4: 1.
Wherein, the weight parameter of user's intangible resource and user's physical resources influence power is set as 1: 4 ratio Example.
Influence power appraisal procedure provided by the invention focuses on customer relationship and user resources, in social networks this two Kind factor can more accurately evaluate the influence power of user:
(1) Multiple factors involved by user have been fully considered, the good friend and user associated including user is for institute Participate in the influence power of other users in community.
(2) multiple special influences as user in entire social networks including user's bean vermicelli quantity are considered Power improves influence power of the user with numerous beans vermicelli in social networks.
Detailed description of the invention
Fig. 1 is the flow chart of the appraisal procedure of social network user influence power provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing 1 and specific implementation Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only to explain this hair It is bright, but not to limit the present invention.
With reference to Fig. 1, user force is decomposed into customer relationship influence power and user resources influence power, wherein customer relationship Influence power includes user 1 to 1 many-many relationship influence power of 1 relationship affect power and user., and 1 pair of 1 relationship affect power refers mainly to user The ratio for total time being associated in social activity in family is occupied with having the single bean vermicelli contacts time.User associates always in social activity Time refers to user with the summation of all beans vermicelli contacts time, and 1 many-many relationship influence power refers mainly to user and participates in multiple community in turn The generated influence power in community.The influence power with oneself there is the user of friend relation to account for society dependent on user in community The ratio of the total user's number of group.
User resources influence power mainly includes invisible user resources influence power and Tangible User resource influence.Physical resources Media resources and the organization activities, development project such as influence power article, message, picture that mainly signified user pushes or forwards The influence power Deng caused by, intangible resource influence power mainly emphasize the influence power as caused by certain properties users, these categories Property includes several speciality of user, such as previous graduate college, professional domain, work unit, expert's identity, bean vermicelli quantity, also includes Some concatenation abilities, as certain big V with high bean vermicelli quantity is in close relations etc..
The weight of customer relationship influence power and user resources influence power and the as shadow of the user in current social networks Ring power.Its specific appraisal procedure are as follows:
Step 1: using the customer relationship influence power of definition, calculating user to 1 pair of 1 influence power caused by bean vermicelli and to institute Influence power more than 1 pair caused by society user inside the group is participated in, and distributes different weights, takes and calculate customer relationship influence power;
Step 2: using the user resources influence power of definition, calculating is divided due to user's intangible resource and user's physical resources The influence power not generated, and different weights are distributed, take and calculate user resources influence power;
Step 3: in conjunction with customer relationship influence power and user resources influence power, distributing different weights respectively, take and calculate The final influence power of user.
The relationship affect power of user includes 1 pair of 1 relationship affect power and 1 many-many relationship influence power.1 pair of 1 relationship affect is advocated Refer to that user occupies the ratio for total time being associated in social activity in family with its single bean vermicelli contacts time.It is used herein as contacts frequency 20% user data is analyzed before rate ranking.Good friend Zhan Shequn of the 1 many-many relationship influence power Main Analysis user in community The ratio of total user quantity, and each community number of users is carried out into Macro or mass analysis user as corresponding weight and is participated at it Community influence power.The weight proportion of 1 pair of 1 relationship affect power and 1 many-many relationship influence power is 4: 1.
Intangible resource influence power refers mainly to the influence power that user includes the information such as qualification, identity and constructs.Due to the influence Power can not the reasonable amount of being had assessment, present invention uses user's bean vermicelli quantity as parameter, estimates in conjunction with Gaussian kernel density Meter method judges the intangible resource of user.In view of user may be the expert in some field, in this case, the powder of user Silk quantity may be less, but user has stronger influence power in the field.Therefore, the present invention uses user's bean vermicelli quantity The influence power mean value of strong preceding 20% user of middle influence power is as adjusting parameter, to promote the few user of bean vermicelli quantity.
Physical resources influence power refers mainly to content output and the influence power of generation due to user, and content output includes using The resource that family is pushed specifically includes the media resources such as article, picture, the audio-video of user's forwarding, and initiated by user Activity etc..The use that the calculation method of physical resources influence power can influence for the social activity that user in the regular period carries out Amount amount accounts for the ratio of current active number of users in the social networks, and current active user refers to user social contact over a period to come Number of activities are more than or equal to all user social contact number of activities in the period and sort from high to low the user of the 20th quantile.Simply For the sake of, 20% replacement of all social network user quantity can be used in any active ues quantity.
User resources influence power mainly includes intangible resource influence power based on user's bean vermicelli quantity and based on user social contact User's physical resources influence power including activity.In the time range of setting, the bean vermicelli quantity of user is substantially without generation If too big variation uses user's bean vermicelli quantity average in the period basic as calculating changed.Use social activity In network based on the pertinent statistical parameters of social networks quantity, the invisible of user is calculated using Gaussian kernel density estimation Resource influence.Meanwhile considering that influence power is on influence caused by the final influence power of user in user's bean vermicelli.Use user social contact The ratio of any active ues quantity is influenced in user's Zhan Dangqian social networks that activity is influenced with the physical resources for judging user Power.Wherein, any active ues refer to that its social activity number is more than or equal to social network user number of activities from height over a period to come The user for the 20th quantile that sorts on earth.Give tangible and intangible resource influence power respectively with different weights, wherein physical resources Weight proportion with intangible resource is 4: 1, and then calculates the resource influence of user.
Final influence power of the user in social networks is calculated using user resources influence power and customer relationship influence power. The weight proportion of the two is 4: 1.
The above described specific embodiments of the present invention are not intended to limit the scope of the present invention..Any basis Any other various changes and modifications made by technical concept of the invention should be included in the guarantor of the claims in the present invention It protects in range.

Claims (10)

1. a kind of appraisal procedure of social network user influence power, which comprises the following steps: (1) calculate user couple 1 pair of 1 relationship affect power caused by bean vermicelli and to 1 many-many relationship influence power caused by participated in society user inside the group, and distribute Different weights take and calculate customer relationship influence power;Wherein, user refers to that user is same to 1 pair of 1 relationship affect power caused by bean vermicelli Its single bean vermicelli contacts time occupies the ratio that total time is associated at family in social activity, and the user associates in social activity Refer to user with the summation of all beans vermicelli contacts time total time;1 many-many relationship influence power refers to that good friend of the user in community accounts for society The ratio of group's total user quantity, and each community number of users is carried out into Macro or mass analysis user as corresponding weight and is joined at it With community influence power;(2) influence power for calculating user's intangible resource and user's physical resources and generating respectively, and distribute not Same weight takes and obtains user resources influence power;Wherein, user's intangible resource influence power refers to the previous graduate college of user, profession neck Domain, work unit, expert's identity, bean vermicelli quantity, with certain big V degree in close relations with high bean vermicelli quantity, these information and The influence power of building, user's physical resources influence power refer to the influence of the output of the content due to user in social networks and generation Bean vermicelli quantity and User Activity institute of the weight parameter of power, user's intangible resource and user's physical resources influence power dependent on user The ratio of the number of users influenced;
(3) customer relationship influence power and user resources influence power are combined, different weights is distributed respectively, takes and calculate user most Whole influence power.
2. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that 1 pair of 1 relationship affect power Weight proportion with 1 many-many relationship influence power is 4: 1.
3. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that the user is in social activity Content output in network includes article, the picture, audio-video frequency media resource of the resource that user is pushed or user's forwarding, or by The activity that user is initiated.
4. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that the intangible resource shadow Ring power be using the pertinent statistical parameters of social networks quantity in social networks based on, use Gaussian kernel density estimation come Calculate the intangible resource influence power of user.
5. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that physical resources influence power Calculation method accounted in the social networks for the number of users that can influence of social activity that user in the regular period carries out The ratio of current active number of users, any active ues quantity are the 20% of all social network user quantity.
6. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that the user is to bean vermicelli Generated 1 pair of 1 relationship affect power is analyzed using 20% user data before contacts frequency ranking.
7. the appraisal procedure of social network user influence power as claimed in claim 4, which is characterized in that described to use social network It is to make user's bean vermicelli quantity as parameter based on the pertinent statistical parameters of social networks quantity in network.
8. the appraisal procedure of social network user influence power as claimed in claim 7, which is characterized in that when user is certain field Expert in the case of, when assessing intangible resource influence power using influence power in user's bean vermicelli quantity 20% user before strong Influence power mean value is as adjusting parameter.
9. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that user resources influence power Weight proportion with both customer relationship influence powers is 4: 1.
10. the appraisal procedure of social network user influence power as described in claim 1, which is characterized in that the user is invisible The weight parameter of resource and user's physical resources influence power is set as 1: 4 ratio.
CN201711466980.4A 2017-12-28 2017-12-28 Evaluation method for influence of social network users Active CN110020375B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711466980.4A CN110020375B (en) 2017-12-28 2017-12-28 Evaluation method for influence of social network users

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711466980.4A CN110020375B (en) 2017-12-28 2017-12-28 Evaluation method for influence of social network users

Publications (2)

Publication Number Publication Date
CN110020375A true CN110020375A (en) 2019-07-16
CN110020375B CN110020375B (en) 2023-06-27

Family

ID=67187112

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711466980.4A Active CN110020375B (en) 2017-12-28 2017-12-28 Evaluation method for influence of social network users

Country Status (1)

Country Link
CN (1) CN110020375B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111062808A (en) * 2019-12-24 2020-04-24 深圳市信联征信有限公司 Credit card limit evaluation method, device, computer equipment and storage medium

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2665588A1 (en) * 2008-05-07 2009-11-07 Radian6 Technologies Inc. Method and system for determining on-line influence in social media
CN101770487A (en) * 2008-12-26 2010-07-07 聚友空间网络技术有限公司 Method and system for calculating user influence in social network
CA2754121A1 (en) * 2009-03-03 2010-09-10 Google, Inc. Method and system for providing advertising to users of social network
CN103024017A (en) * 2012-12-04 2013-04-03 武汉大学 Method for distinguishing important goals and community groups of social network
CN103886105A (en) * 2014-04-11 2014-06-25 北京工业大学 User influence analysis method based on social network user behaviors
US20140317126A1 (en) * 2004-09-02 2014-10-23 Linkedin Corporation Determining measures of influence of users of a social network
CN104240107A (en) * 2013-06-18 2014-12-24 财团法人资讯工业策进会 Community data screening system and method thereof
CN104408108A (en) * 2014-11-18 2015-03-11 重庆邮电大学 Hot topic group influence analysis system and method based on grey system theory
CN105260474A (en) * 2015-10-29 2016-01-20 俞定国 Microblog user influence computing method based on information interaction network
CN105723402A (en) * 2013-10-25 2016-06-29 西斯摩斯公司 Systems and methods for determining influencers in a social data network
US20170091193A1 (en) * 2015-09-30 2017-03-30 Linkedin Corporation Calculating an influence score of a member
CN107341270A (en) * 2017-07-28 2017-11-10 东北大学 Towards the user feeling influence power analysis method of social platform

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140317126A1 (en) * 2004-09-02 2014-10-23 Linkedin Corporation Determining measures of influence of users of a social network
CA2665588A1 (en) * 2008-05-07 2009-11-07 Radian6 Technologies Inc. Method and system for determining on-line influence in social media
CN101770487A (en) * 2008-12-26 2010-07-07 聚友空间网络技术有限公司 Method and system for calculating user influence in social network
CA2754121A1 (en) * 2009-03-03 2010-09-10 Google, Inc. Method and system for providing advertising to users of social network
CN103024017A (en) * 2012-12-04 2013-04-03 武汉大学 Method for distinguishing important goals and community groups of social network
CN104240107A (en) * 2013-06-18 2014-12-24 财团法人资讯工业策进会 Community data screening system and method thereof
CN105723402A (en) * 2013-10-25 2016-06-29 西斯摩斯公司 Systems and methods for determining influencers in a social data network
CN103886105A (en) * 2014-04-11 2014-06-25 北京工业大学 User influence analysis method based on social network user behaviors
CN104408108A (en) * 2014-11-18 2015-03-11 重庆邮电大学 Hot topic group influence analysis system and method based on grey system theory
US20170091193A1 (en) * 2015-09-30 2017-03-30 Linkedin Corporation Calculating an influence score of a member
CN105260474A (en) * 2015-10-29 2016-01-20 俞定国 Microblog user influence computing method based on information interaction network
CN107341270A (en) * 2017-07-28 2017-11-10 东北大学 Towards the user feeling influence power analysis method of social platform

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
G. WANG 等: "Fine-Grained Feature-Based Social Influence Evaluation in Online Social Networks", 《IN IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS》, vol. 25, no. 9, pages 2286 - 2296, XP011555845, DOI: 10.1109/TPDS.2013.135 *
李志宏 等: "基于水军信任惩罚的多维用户影响力度量模型", 《***工程理论与实践》, vol. 37, no. 7, pages 1820 - 1832 *
祝升 等: "综合用户相似性与话题时效性的影响力用户发现算法", 《山东大学学报(理学版)》, vol. 51, no. 9, pages 113 - 120 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111062808A (en) * 2019-12-24 2020-04-24 深圳市信联征信有限公司 Credit card limit evaluation method, device, computer equipment and storage medium
CN111062808B (en) * 2019-12-24 2023-06-09 深圳市信联征信有限公司 Credit card limit evaluation method, credit card limit evaluation device, computer equipment and storage medium

Also Published As

Publication number Publication date
CN110020375B (en) 2023-06-27

Similar Documents

Publication Publication Date Title
CN109063010B (en) Opinion leader mining method based on PageRank
Lin et al. Sociable people beware? Investigating smartphone versus nonsmartphone dependency symptoms among young Singaporeans
Counts et al. Taking it all in? visual attention in microblog consumption
Wang et al. Semantic-aware sensing information transmission for metaverse: A contest theoretic approach
CN108763314A (en) A kind of interest recommends method, apparatus, server and storage medium
Akoglu et al. Quantifying reciprocity in large weighted communication networks
CN108353019A (en) A kind of method of association user, terminal and server
CN103530428A (en) Same-occupation type recommendation method based on developer practical skill similarity
CN103179198A (en) Topic influence individual digging method based on relational network
CN101136869A (en) Method for generating search intention based contacts group of instant communication system
CN105162695B (en) A kind of novel neighbour's mobile social networking friend-making method for secret protection
Wiiava et al. Examining a COVID-19 twitter hashtag conversation in Indonesia: a social network analysis approach
CN110020375A (en) A kind of appraisal procedure of social network user influence power
CN105577434B (en) A kind of method and apparatus of the multiple association mining based on social networks
CN103200073B (en) A kind of information processing method and device
Park et al. How use of location-based social network (LBSN) services contributes to accumulation of social capital
KR101679348B1 (en) Device, method for providing social network service and computer readable recording medium
CN110650081A (en) Virtual reality instant messaging method
Xiao et al. Comparative evaluation of cyber migration factors in the current social media landscape
CN108540369A (en) Consider that the SNDR information communication processes of user's severe dissemination describe method
Hu et al. Modeling Twitter engagement in real-world events
An et al. The effects of social capital on occupational aspiration in university students
Šuvakov et al. Collective emotion dynamics in chats with agents, moderators and Bots
Nguyen et al. Stir: Spontaneous social peer-to-peer streaming
Lee et al. Users’ dependence on mobile instant messenger

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