CN106780066A - A kind of influence power appraisal procedure between individual and colony - Google Patents
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Abstract
The invention discloses the influence power appraisal procedure between a kind of individual and colony, the method is the related notion by defining the influence power in network between different user, is calculated group influence power algorithm.Advantages of the present invention：1) direct influence and indirect influence are defined, the interaction between node is taken into full account, the computational methods of indirect influence are given.2) by the two indices of the individual influence power with colony, one is the influence power between colony and Personal, and two is the influence power between colony and outside individuality.3) the influence power computational methods between colony and Personal are proposed；4) the influence power computational methods between colony and outside individuality are proposed；5) present invention is extracted the effect of the influence power being categorized between individual and colony by group influence power, is easy to carry out indexing research to the influence power of colony, meets social reality, improves the accuracy of influence force estimation.
Description
Technical field
The present invention relates to the influence power appraisal procedure between a kind of individual and colony, belong to network communication technology field.
Background technology
The user group of online social networks is because certain social relationships, the anon-normal of the formation such as social background or interest
It is formula, trans-regional, can Free Development huge community network colony.Seem the more sparse virtual world network group of contact
Body, influence each other the aspect such as is emerged in large numbers to popular spin, social hotspots fluctuation, special group and is played to closing weight
The effect wanted.The difference of the key elements such as individual attribute, active degree, monde, behavioural characteristic according to social user, online society
Handing over the different user in network has different influence powers.
It is not online social networks group although realistic individual border relation can embody in online social networks
Whole driving factors that body is formed.In the social of mankind's height, this causes people than random to the unique behavior pattern root of the mankind
The physical particles of diffusion have increasingly complex motor pattern.It is emphasized that the formation of any colony or network, is all
Due to the phase mutual feedback between personal relationship, so as to realize the self-organizing of the self adaptation and colony of the network user.Therefore, society is studied
The group of subscribers relation and influence power for handing over network are the keys of deep anatomy network user's group behavior.
In recent years, scholar has carried out certain research to the influence power of online social networks.Prior efforts exist to influence power
Performance and correlative factor in social activities are explored and analyzed, and research sample space at that time is smaller, can obtain
Data volume is limited.As a large amount of objectively data of online social networks support have scholar to start to user's corporations and performance in itself
Showed during influence power, user's online interaction out affect one another and influence power with the time the problems such as evolution
The research and discussion of correlation are carried out.A.Leavitt E.Burchard,D.Fisher,and S.Gilbert《The
influentials:new approaches foranalyzing influence on Twitter》(Web Ecology
Project,2009,4(2):The user data of Twitter 1-18.) etc. is analyzed, the influence power of user is divided into two types：
Influence power (conversation-based) based on talk and the influence power (content-based) based on content.Page L,
Brin S,Motwani R《The PageRank citation ranking:Bringing order to theweb》Foundation
Propagating characteristic of the interactive information on social networks, is given a mark using the forwarding time ordered pair user force of information.Kwak H,
Lee C,Park H《What is Twitter,a social network or a news media》(Proceedings of
the 19th international conference on World wide web.ACM,2010:591-600) et al. pass through
The topological structure network for calculating social user follower draws the PageRank value of social user, and as to social user
A kind of valid metric method of influence power.Yang and Leskovec《Modeling information diffudion in
implicit networks》(Proceedings of 2010 IEEE International Conference on Data
Mining.Sydney,Ausralia,2010:599-608) then think that the communication process of information is controlled by user force, with
The no positive connection of interconnection between dominant network topology and user, establishes a kind of linear effect power model LIM, uses
Relation between expression user force and past affected other users.《In online social networks between user
Influence power quantitative research》(Dai Yunjing, Shanghai Communications University, 2013) is by introducing the theoretical of Bayesian probability with virtually forwarding
Concept corrects existing model, it is proposed that influence power quantitative model between Bayes user.Research to influence power above is achieved
Certain achievement, but weighed for group influence power and portray relatively fewer with index, the method for neither one relative system
Go to portray and calculate the size of group influence power.And the present invention can be solved the problems, such as above well.
The content of the invention
Present invention aim at for above-mentioned the deficiencies in the prior art, it is proposed that the influence power between a kind of individual and colony
Appraisal procedure, the method takes into full account the relation between user force, proposes the section point symmetry groups outside colony inside and colony
The influence power index of body, in order to the size of comprehensive assessment group influence power.
The technical scheme adopted by the invention to solve the technical problem is that：The present invention is applied to online social network user and hands over
Under the network of mutual relation, using the colony of the known direct influence of weighted network simulation, the mechanism of influence power effect is taken into full account
And approach, give the influence power relation and computational methods of indirect influence size, colony inside and colony's external node.
Method flow：
Step 1：Using influence power between the user for defining, the direct influence between different user and influence indirectly are calculated
Power；
Step 2：Using the node and group influence power of definition, influence of colony's internal node to group influence power is calculated
Power；
Step 3：Using the node and colony's exterior node influence power of definition, the outside individual influence power to colony is calculated.
Step 4：Using the node and colony's exterior node influence power of definition, colony is calculated to outside individual influence power.
Further, in step 1 of the present invention, define and directly affect and indirect influence：Direct influence is institute
Have with the direct influence between direct interaction history node pair, indirect influence is all without direct interaction history section
The influence power of generation of the point between.Give the formula of influence power calculating：
Calculate node i is represented by the influence power of node j：
F (i, j) represents indirect disturbance degree of the node i to node j；PijRepresent node i to all paths of node j, k, v table
Show PijNode in path；α is multi-stress (it is contemplated that for the direct influence weighting between all nodes is averaged).If node
I and node j has direct interaction, then FijIt is exactly degree of directly affecting of the node i to node j；If node i does not have directly with node j
Interaction, then FijIndirect disturbance degree of the node i to node j.
Further, in step 2 of the present invention, the influence power between Personal and colony is defined, gives meter
Calculate Personal and group influence power.If influence power Fs (i, R) of the calculating i in colony R is just the node to colony's internal node
Degree of directly affecting and indirect disturbance degree synthesis, can be expressed as：
F (i, R)=β ∑sJ ∈ R, i ≠ jFij (2)
F (i, R) represents influence power of the node i in colony R；FijRepresent disturbance degree of the node i to node j；β for it is comprehensive because
Son
(it is contemplated that the influence power weighting for i to all nodes is averaged).
Further, in step 3 of the present invention, using node and colony's exterior node influence power of definition, calculate outside
The individual influence power to colony.Outside individuality i is represented by colony R influence powers Y (i, R)：
Y (i, R)=γ (α ∑sJ ∈ R, j ∈ V (i)Fij+β∑J ∈ R, j ∈ V (i)F (j, R)) (3)
V (i) represents the set of the node for having direct interaction with i.FijRepresent influence power of the node i to node j；F (j, R)
It is influence powers of the node j in colony R；γ is multi-stress.
Further, in step 3 of the present invention, node and colony's exterior node influence power of definition calculate colony external
The individual influence power in portion.(R i) is represented by influence power Y of the colony R to node i：
Y (R, i)=δ ∑sJ ∈ R, j ∈ V (i)Fji (4)
V (i) represents the set of the node for having direct interaction with i.FjiRepresent influence powers of the node j to node i；δ is comprehensive
Close the factor.
Beneficial effect：
1st, present invention employs the theory of complex network, by the weighting of direct influence network complex network between node
Directed networkses represent, fully illustrate the relation between node influence power.
2nd, the influence power between user is abstracted into direct influence and indirect influence by the present invention, more presses close to social network
The social reality of network.
3rd, the present invention extracts the two indices of group influence power：Internal node and group influence power index and external node
The energy grown to outside expansion with group influence power index, the internal constraint and influence and colony for being conducive to weighing colony
Power, for further research group influence power and group behavior provide quantifiable index.
4th, the method for assessment group influence power proposed by the present invention, group influence power is assessed from many aspects, meets society
Reality.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention.
Fig. 2 is the regional effection model schematic diagram of colony's Personal.
Fig. 3 is the individual regional effection model schematic diagram to colony.
Fig. 4 is instance graphs of the node a of the present invention to other nodes.
Fig. 5 is the outside individual influence power instance graph to colony.
Fig. 6 is colony to outside individual influence power instance graph.
Specific embodiment
The invention is described in further detail with reference to Figure of description.
The present invention proposes the influence power appraisal procedure between a kind of individual and colony, and the method takes into full account customer impact
Relation between power, proposes influence power index of the node outside colony inside and colony to colony, in order to comprehensive assessment group
The size of body influence power.
The present invention is applied under the network of online social network user interactive relation, known directly using weighted network simulation
The colony of influence power, takes into full account the mechanism and approach of influence power effect, gives indirect influence size, colony inside and group
The influence power relation and computational methods of external body node.Specifically include：
Step 1：Using influence power between the user for defining, the direct influence between different user and influence indirectly are calculated
Power, the calculating of the influence power is presented asymmetry；
Step 2：Using the node and group influence power of definition, influence of colony's internal node to group influence power is calculated
Power；
Step 3：Using the node and colony's exterior node influence power of definition, the outside individual influence power to colony is calculated.
Step 4：Using the node and colony's exterior node influence power of definition, colony is calculated to outside individual influence power.
In step 1 of the present invention, define and directly affect and indirect influence：Direct influence is all with direct
Direct influence between interactive history node pair, indirect influence is between all history nodes pair without direct interaction
The influence power of generation.Give the formula of influence power calculating：
Calculate node i is represented by the influence power of node j：
FijIndirect disturbance degree of the node i to node j is represented, F (i, j) represents indirect disturbance degree of the node i to node j；Pij
Node i to all paths of node j is represented, k, v represents PijNode in path；α is multi-stress (it is contemplated that being all nodes
Between direct influence weighting be averaged).If node i has direct interaction with node j, then FijIt is exactly node i to the straight of node j
Connect disturbance degree；If node i does not have direct interaction with node j, then FijIndirect disturbance degree of the node i to node j.
Further, in step 2 of the present invention, the influence power between Personal and colony is defined, gives meter
Calculate Personal and group influence power.If influence power Fs (i, R) of the calculating i in colony R is just the node to colony's internal node
Degree of directly affecting and indirect disturbance degree synthesis, can be expressed as：
F (i, R)=β ∑sJ ∈ R, i ≠ jFij (2)
F (i, R) represents influence power of the node i in colony R；FijRepresent disturbance degree of the node i to node j；β for it is comprehensive because
Son
(it is contemplated that the influence power weighting for i to all nodes is averaged).
In step 3 of the present invention, using node and colony's exterior node influence power of definition, outside individuality is calculated to colony
Influence power.Outside individuality i is represented by colony R influence powers Y (i, R)：
Y (i, R)=γ (α ∑sJ ∈ R, j ∈ V (i)Fij+β∑J ∈ R, j ∈ V (i)F (j, R)) (3)
V (i) represents the set of the node for having direct interaction with i.FijRepresent influence power of the node i to node j；F (j, R)
It is influence powers of the node j in colony R；γ is multi-stress.
Further, in step 3 of the present invention, node and colony's exterior node influence power of definition calculate colony external
The individual influence power in portion.(R i) is represented by influence power Y of the colony R to node i：
Y (R, i)=δ ∑sJ ∈ R, j ∈ V (i)Fji (4)
V (i) represents the set of the node for having direct interaction with i.FjiRepresent influence powers of the node j to node i；δ is comprehensive
Close the factor.
As shown in figure 4, node a is F to the degree of directly affecting of node bab, node b is F to the degree of directly affecting of node dbd,
There are two influence paths between node a and node d and be respectively PabdAnd Pacd, be can obtain by this two influence path COMPREHENSIVE CALCULATINGs
Node a is to the indirect disturbance degree of node d:
Fad=α1Fab·Fbd+α2Fac·Fcd
α1, α2It is the comprehensive weight factor (it is contemplated that for the direct influence weighting between all nodes is averaged).
Different nodes are different to the influence power in colony, and some nodes may produce shadow to most of node in colony
Power is rung, and some nodes may have little to no effect power in colony.One node to other nodes in colony disturbance degree
It is bigger, and the node disturbance degree influenceed by the node is also big, then the influence power in the node colony will be bigger.Such as Fig. 4 institutes
Show, influence power F (Rs, a) just for colony inside each node to the influence power of node a be just of the colony R to node a：
F (a, R)=β1Fab+β2Fad+β3Fac
β1, β2, β3It is the weight of each influence power, is the weight of each influence power.
Because influence power has asymmetry, so colony is to outside individual influence power, the outside individual shadow to colony
Ring power to have differences, as shown in Figure 5.If node d is outside group R, node d produces shadow by direct interaction node c, e to colony R
Ring, therefore the effect that key is played to colony's R influence powers of node d is point c and e.Influence power bags of the external node d to colony R
Include the influence power F of two important factors, i.e. external node d to node c, e of direct interaction in colony Rdc, FdeAnd c, e exist
Influence power F (c, R) and F (e, R) in colony R.
Outside individuality d is represented by colony R influence powers Y (d, R)：
Y (d, R)=ε1Fdc·F(c,R)+ε2Fde·F(e,R)
ε1,ε2It is the weight of each influence power.
Colony depends primarily on the influence with the node of outside individuality direct interaction in colony to outside individual influence power
Power.As shown in fig. 6, even if the influence power of c, e inside colony is very high, or in colony other nodes to c, the influence of e nodes
Power is very high, but c, e not high to the influence power of node d, and influence powers of the colony R integrally to node d be still high.Therefore, colony R
To the influence power of node d, depending on node c, direct influences of the e to node d.Influence power Y of the colony R to node d (d) may be used by R
It is expressed as：
Y (R, d)=δ1Fcd+δ2Fed
δ1, δ2It is the weight of each influence power.
Claims (7)
1. the influence power appraisal procedure between a kind of individual and colony, it is characterised in that methods described comprises the following steps：
Step 1：Using influence power between the user for defining, the direct influence and indirect influence between different user are calculated；
Step 2：Using the node and group influence power of definition, colony's internal node is calculated to group influence power；
Step 3：Using the node and colony's exterior node influence power of definition, the outside individual influence power to colony is calculated；
Step 4：Using the node and colony's exterior node influence power of definition, colony is calculated to outside individual influence power.
2. the influence power appraisal procedure between a kind of individual and colony according to claim 1, it is characterised in that in step
In 1, the calculating of the influence power is presented asymmetry.
3. the influence power appraisal procedure between a kind of individual and colony according to claim 1, it is characterised in that the step
In rapid 1, the indirect influence of calculate node takes into full account that node influences each other, and computing formula is：
Calculate node i is represented by the influence power of node j：
FijRepresent indirect disturbance degree of the node i to node j, PijNode i to all paths of node j is represented, k, v represents PijRoad
Node in footpath；α is multi-stress；If node i has direct interaction with node j, then FijIt is exactly node i to the direct of node j
Disturbance degree, if node i does not have direct interaction with node j, then FijIndirect disturbance degree of the node i to node j.
4. the influence power appraisal procedure between a kind of individual and colony according to claim 1, it is characterised in that the step
In rapid 2, Personal is calculated to group influence power, influence power Fs (i, R) of the i in colony R is just the node to colony's inside section
The degree of directly affecting of point and the Integrative expression of indirect disturbance degree are：
F (i, R)=β ∑sJ ∈ R, i ≠ jFij (2)
F (i, R) represents influence power of the node i in colony R；FijRepresent disturbance degree of the node i to node j；β is multi-stress.
5. the influence power appraisal procedure between a kind of individual and colony according to claim 1, it is characterised in that the step
In rapid 2, outside individuality is calculated to group influence power, it is assumed that important including two to the influence power of colony R in outside individuality D
Part, both outside individuality D was to the influence power of individual C, E of direct interaction in colony F, and the influence power of C, E in colony R；
Therefore, outside individuality i is expressed as to colony R influence powers Y (i, R)：
Y (i, R)=γ (α ∑sJ ∈ R, j ∈ V (i)Fij+β∑J ∈ R, j ∈ V (i)F (j, R)) (3)
V (i) represents the set of the node for having direct interaction with i, FijInfluence power of the node i to node j is represented, F (j, R) is section
Influence powers of the point j in colony R；γ is multi-stress.
6. the influence power appraisal procedure between a kind of individual and colony according to claim 2, it is characterised in that the step
In rapid 3, colony is calculated to outside individual influence power, (R i) is expressed as influence power Y of the colony R to node i：
Y (R, i)=δ ∑sJ ∈ R, j ∈ V(i)Fji (4)
V (i) represents the set of the node for having direct interaction with i, FjiRepresent influence powers of the node j to node i；δ for it is comprehensive because
Son.
7. the influence power appraisal procedure between a kind of individual and colony according to claim 1, it is characterised in that the side
Method is applied to the network of online social network user interactive relation.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111898041A (en) * | 2020-07-20 | 2020-11-06 | 电子科技大学 | Social network combined circle layer user comprehensive influence evaluation and counterfeiting discrimination method |
| CN113064996A (en) * | 2021-04-06 | 2021-07-02 | 合肥工业大学 | Method for measuring influence of thesis in asymmetric information network |
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| CN103279512A (en) * | 2013-05-17 | 2013-09-04 | 湖州师范学院 | Method for using most influential node in social network to achieve efficient viral marketing |
| US20150170295A1 (en) * | 2013-12-17 | 2015-06-18 | Palo Alto Research Center Incorporated | System and method for identifying key targets in a social network by heuristically approximating influence |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279512A (en) * | 2013-05-17 | 2013-09-04 | 湖州师范学院 | Method for using most influential node in social network to achieve efficient viral marketing |
| US20150170295A1 (en) * | 2013-12-17 | 2015-06-18 | Palo Alto Research Center Incorporated | System and method for identifying key targets in a social network by heuristically approximating influence |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111898041A (en) * | 2020-07-20 | 2020-11-06 | 电子科技大学 | Social network combined circle layer user comprehensive influence evaluation and counterfeiting discrimination method |
| CN113064996A (en) * | 2021-04-06 | 2021-07-02 | 合肥工业大学 | Method for measuring influence of thesis in asymmetric information network |
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