
Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related topics. In this study, we performed the trend and collaboration network analysis (CNA) in Korea for 2010–2019 among researchers who are related to human–computer interaction, one of the hottest research areas in ICT. Publication data were collected from SciVal, and the collaboration network was determined using degree, closeness, betweenness centralities, and PageRank. Hence, key researchers were identified based on their centrality metrics. The dataset contained 7,155 publications, thus reflecting the contributions of a total of 243 authors. The results of our data analysis demonstrated that key researchers can be identified via CNA; this aspect was not evident from the results of the most productive researchers. Additionally, on the basis of the results, the implications and limitations of this study were analyzed.
Citation: Seungpeel Lee, Jisu Kim, Eun Been Choi, Sojung Shin, Dogun Kim, HyeRim Yu, Seoyun Kim, Wongi S. Na, Eunil Park. Computational analysis of a collaboration network on human-computer interaction in Korea[J]. Mathematical Biosciences and Engineering, 2022, 19(12): 13911-13927. doi: 10.3934/mbe.2022648
[1] | Linyu Li, Jun Yue, Xia Zhang . Double total domination number of Cartesian product of paths. AIMS Mathematics, 2023, 8(4): 9506-9519. doi: 10.3934/math.2023479 |
[2] | Chang-Xu Zhang, Fu-Tao Hu, Shu-Cheng Yang . On the (total) Roman domination in Latin square graphs. AIMS Mathematics, 2024, 9(1): 594-606. doi: 10.3934/math.2024031 |
[3] | Wei Gao, Zahid Iqbal, Shehnaz Akhter, Muhammad Ishaq, Adnan Aslam . On irregularity descriptors of derived graphs. AIMS Mathematics, 2020, 5(5): 4085-4107. doi: 10.3934/math.2020262 |
[4] | Saeed Kosari, Yongsheng Rao, Zehui Shao, Jafar Amjadi, Rana Khoeilar . Complexity of signed total k-Roman domination problem in graphs. AIMS Mathematics, 2021, 6(1): 952-961. doi: 10.3934/math.2021057 |
[5] | Abel Cabrera-Martínez, Andrea Conchado Peiró, Juan Manuel Rueda-Vázquez . Further results on the total Italian domination number of trees. AIMS Mathematics, 2023, 8(5): 10654-10664. doi: 10.3934/math.2023540 |
[6] | Ahlam Almulhim . Signed double Italian domination. AIMS Mathematics, 2023, 8(12): 30895-30909. doi: 10.3934/math.20231580 |
[7] | Abel Cabrera Martínez, Iztok Peterin, Ismael G. Yero . Roman domination in direct product graphs and rooted product graphs. AIMS Mathematics, 2021, 6(10): 11084-11096. doi: 10.3934/math.2021643 |
[8] | Abel Cabrera-Martínez, Andrea Conchado Peiró . On the {2}-domination number of graphs. AIMS Mathematics, 2022, 7(6): 10731-10743. doi: 10.3934/math.2022599 |
[9] | Nuttawoot Nupo, Chollawat Pookpienlert . Fractional domination and fractional total domination on Cayley digraphs of transformation semigroups with fixed sets. AIMS Mathematics, 2024, 9(6): 14558-14573. doi: 10.3934/math.2024708 |
[10] | Usman Babar, Haidar Ali, Shahid Hussain Arshad, Umber Sheikh . Multiplicative topological properties of graphs derived from honeycomb structure. AIMS Mathematics, 2020, 5(2): 1562-1587. doi: 10.3934/math.2020107 |
Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related topics. In this study, we performed the trend and collaboration network analysis (CNA) in Korea for 2010–2019 among researchers who are related to human–computer interaction, one of the hottest research areas in ICT. Publication data were collected from SciVal, and the collaboration network was determined using degree, closeness, betweenness centralities, and PageRank. Hence, key researchers were identified based on their centrality metrics. The dataset contained 7,155 publications, thus reflecting the contributions of a total of 243 authors. The results of our data analysis demonstrated that key researchers can be identified via CNA; this aspect was not evident from the results of the most productive researchers. Additionally, on the basis of the results, the implications and limitations of this study were analyzed.
It is important to determine survivors, which ultimately shape an ecosystem. However, answering this fundamental question depends on what we consider in a food web. There are studies on ecosystems that incorporate a different concept, like epidemics [10,11] and allelopathy [8].
Our work considers a microbial food web in the presence of parasitic fungi (e.g., chytrids). The importance of parasites in food webs has been emphasized in the literature; see [5,6,7]. According to a review paper [15] by Sommer et al, researchers have only recently considered parasites as one of the main drivers for phytoplankton succession. This review highlights the theory of mycoloop, a food chain conceived by Kagami and her team to explain the transfer of energy from large phytoplankton (Asterionella) to zooplankton (Daphnia) via parasitic fungi [1,2,3,4].
In this paper, we consider the following chemostat model based on Figure 1, where
{N(t)=[I−qN(t)]−[aSPS(t)+aLPL(t)]N,N(0)>0,S(t)=[aSN(t)−bZ(t)−q]PS(t),PS(0)≥0,L(t)=[aLN(t)−βF(t)−q]PL(t),PL(0)≥0,F(t)=[fFβPL(t)−γZ(t)−q]F(t),F(0)≥0,Z(t)=[ePbPS(t)+eFγF(t)−(q+mZ)]Z(t),Z(0)≥0. | (1.1) |
The parameters of this model are described in Table 1.
Parameter | Description |
| Input amount of phosphorus (nutrient level) |
| Input concentration of nutrient |
| Washout rate |
| Zooplankton mortality rate, |
besides washout rate | |
| Nutrient affinity of phytoplankton |
| Infectivity constant of fungi |
| Zooplankton clearance rate for small phytoplankton |
| Zooplankton clearance rate for fungi |
| Gross growth efficiency (GGE) of zooplankton from fungi |
| GGE of zooplankton from small phytoplankton |
| GGE of fungi from its host |
Miki, Takimoto and Kagami formulated system (1.1) in their paper [9] and performed a local (steady-state) analysis to investigate the roles of parasitic fungi. We assume
We focus on global dynamics and the limiting behavior of the solution
φ(t)=(N(t),PS(t),PL(t),F(t),Z(t)) |
as
Let
X:={x=(N,PS,PL,F,Z):N>0,PS≥0,PL≥0,F≥0,Z≥0}. |
It is easy to show the state space
The rest of this paper is organized as follows. In Section 2, we establish that our model is dissipative, from which the nutrient uniformly persists regardless of the input
First we show that our model system (1.1) is dissipative, as stated in the following theorem.
Theorem 2.1. Each solution of system (1.1) in
lim supt→∞[N(t)+PS(t)+PL(t)+F(t)fF+Z(t)max{eP,fFeF}]≤N(0). | (2.1) |
Proof. Let
u=N+PS+PL+FfF+cZ. |
It follows that
u(t)≤N(0)+[u(0)−N(0)]exp(−qt) | (2.2) |
for all
Theorem 2.2. The nutrient
Proof. Observe that
N≥I−qN−max(aS,aL)(PS+PL)N≥I−qN−max(aS,aL)(N(0)+ϵ)N≥I−(q+max(aS,aL)(N(0)+ϵ))N,t≥Tϵ. |
Hence
The ecologically relevant equilibrium points lie in the state space
λS=qaS,λL=qaL. |
From [14], our basic assumption is
(H)0<λS<λL<Iq. |
That is, we assume phytoplankton species of small size,
When
{dNdt=I−qN−aSPSN−aLPLN,dPSdt=aSPSN−bZPS−qPS,dPLdt=aLNPL−qPL,dZdt=ePbPSZ−(q+mZ)Z | (3.1) |
and its food web is shown in Figure 2.
The conditions for the global stability of the equilibrium points of system (3.1) are stated in the next theorem.
Theorem 3.1. Let
N⋆=Iq+aSP⋆S,P⋆S=q+mZePb. |
For system (3.1), the following statements hold:
(i) If
(ii) If
(iii) If
Proof. The statements are established as follows:
(ⅰ) We introduce the Lyapunov function given by
V=∫NλSξ−λSξdξ+c1∫PS^PSξ−^PSξdξ+c2PL+c3Z, |
where
∙V=(N−λS)(IN−q−aSPS−aLPL)+c1(PS−^PS)(aSN−bZ−q)+c2PL(aLN−q)+c3Z(ePbPS−(q+mZ))=(N−λS)(IN−IλS−aS(PS−^PS)−aLPL)+c1(PS−^PS)(aS(N−λS)−bZ)+c2PL(aL(N−λS)−aL(λL−λS))+c3Z(ePb(PS−^PS)−((q+mZ)−ePb^PS)). |
Choose
q+mZePb=P⋆S>^PS=I−qλSaSλS⇔I−qλS<aSλSP⋆S⇔N⋆<λS, |
it follows that
∙V=−I(N−λS)2NλS−PLaL(λL−λS)−1eP((q+mZ)−ePb^PS)Z≤0. |
Therefore, LaSalle's invariance principle implies that
(ⅱ)Note that
V=∫NN⋆ξ−N⋆ξdξ+∫PSP⋆Sξ−P⋆Sξdξ+PL+1eP∫ZZ⋆ξ−Z⋆ξdξ. |
We obtain
∙V=(N−N⋆)[IN−IN⋆−aS(PS−P⋆S)−aLPL]+(PS−P⋆S)[aS(N−N⋆)−b(Z−Z⋆)]+PL(aL(N−N⋆)−(q−aLN⋆))+1eP(Z−Z⋆)(ePb(PS−P⋆S))=−I(N−N⋆)2NN⋆−PL(q−aLN⋆)≤0, |
by using the equivalent expression
λL>N⋆⇔q−aLN⋆>0. |
Hence, by LaSalle's invariance principle,
(ⅲ) We construct the following Lyapunov function:
V=∫NNCξ−NCξdξ+∫PSPCSξ−PCSξdξ+∫PLPCLξ−PCLξdξ+1eP∫ZZCξ−ZCξdξ, |
where
NC=λL,PCS=q+mZePb=P⋆SPCL=1aL(INC−q−aSP⋆S)ZC=1b(aSNC−q). |
From the assumptions that
∙V=(N−NC)[IN−INC−aS(PS−PCS)−aL(PL−PCL)]+(PS−PCS)[aS(N−NC)−b(Z−ZC)]+(PL−PCL)(aL(N−NC))+1eP(Z−ZC)(ePb(PS−PCS))=−I(N−NC)2NNC≤0. |
We conclude from the invariance principle that
As a consequence of the above theorem, we obtain the following equivalent expressions:
N⋆<λS⇔I<λS(q+aSP⋆S)=q(λS+P⋆S)λS<N⋆<λL⇔λS(q+aSP⋆S)<I<λL(q+aSP⋆S)⇔q(λS+P⋆S)<I<q(λL+λLλSP⋆S)λL<N⋆<Iq⇔λL(q+aSP⋆S)<I⇔q(λL+λLλSP⋆S)<I |
Letting
(ⅰ) if
(ⅱ) if
(ⅲ) if
The global stability of equilibrium points of system (3.1) is depicted in Figure 3.
We consider the case that
{N=I−qN−aSPSN−aLPLN,S=[aSN−q]PS,L=(aLN−βF−q)PL,F=(fFβPL−q)F,N(0)>0,PS(0)>0,PL(0)>0,F(0)>0 | (3.2) |
and its food web is presented in Figure 4.
From hypothesis
Theorem 3.2. Under assumption
For the case when
{dNdt=I−qN−aLPLN,dPLdt=aLNPL−βFPL−qPL,dFdt=fFβPLF−γZF−qF,dZdt=eFγFZ−(q+mZ)F,N(0)>0,PL(0)>0,F(0)>0,Z(0)>0 | (3.3) |
with the corresponding food web provided in Figure 5.
Using the same Lyapunov functions
Theorem 3.3. Let hypothesis
(i) If
(ii) If
(iii) If
Taking
From Section 3, there are seven distinct boundary equilibrium points of system (1.1) listed below :
E0=(N(0),0,0,0,0),ES=(λS,N(0)−λS,0,0,0),N(0)>λS,ESZ=(N⋆,P⋆S,0,0,Z⋆),N(0)>λS+P⋆S,ESLZ=(λL,P⋆S,~PL,0,˜Z),N(0)>λL+λLλSP⋆S,EL=(λL,0,N(0)−λL,0,0),N(0)>λL,ELF=(ˉN,0,ˉL,ˉF,0),N(0)>λL(1+aLfFβ),ELFZ=(ˆN,0,^PL,ˆF,ˆZ),N(0)>λL(1+aLfFβ)(1+βeFγ(1+mZq)), | (4.1) |
where
N⋆=Iq+aSP⋆S,P⋆S=q+mZePb,Z⋆=aSN⋆−qb>0,~PL=Iq−λL−aSaLP⋆S>0,˜Z=1b(aSλL−q)>0,ˉN=Iq+aLˉL,ˉL=qfFβ,ˉF=aLˉN−qβ>0,ˆF=q+mZγeF,ˆN=βˆF+qaL,ˆZ=fFβ^PL−qγ>0,^PL=I−qˆNaLˆN>0. | (4.2) |
Next we discuss the local asymptotic stability of the boundary equilibrium points in (4.1) with respect to system (1.1). Obviously
For the stability of
1FF(t)|ES=fFβPL−γZ−q=−q<0,1ZZ(t)|ES=ePb(N(0)−λS)−(q+mZ)<0,1PLL(t)|ES=aLλS−q<0 | (4.3) |
and all of the eigenvalues of the Jacobian matrix of system (1.1) at
For the stability of
1PLL|ESZ=aLN⋆−q<0,1FF|ESZ=−γZ⋆−q<0. | (4.4) |
Thus, if
For the stability of
1FF|ESLZ=fˉFβ~PL−γ˜Z−q<0. | (4.5) |
Therefore,
For the stability of
1PSS|EL=aSλL−q>0,1FF|EL=fFβ(N(0)−λL)−q<01ZZ|EL=−(q+mZ)<0. | (4.6) |
We conclude that
For the stability of
1PSS|ELF=aSˉN−q>0,1ZZ|ELF=eFγˉF−(q+mZ)>0 |
For the stability of
1PSS|ELFZ=aSˆN−bˆZ−q. | (4.7) |
Hence
A summary of the results on the asymptotic stability of boundary equilibrium points of system (1.1) is provided in Table 2.
Existence | Locally asymptotically stable if | |
| always | |
| under | |
| | |
| | |
| under | |
| | |
| | |
Now we present some extinction results in the next theorem.
Theorem 4.1. Suppose
(i) If
(ii) If
Proof. (ⅰ) Introduce the Lyapunov function
V=∫NλSξ−λSξdξ+c1∫PSN(0)−λSξ−(N(0)−λS)ξdξ+c2PL+c3F+c4Z. |
Choose
∙V=(N−λS)(IN−IλS−aS(PS−(N(0)−λS))−aLPL)+(PS−(N(0)−λS))(aS(N−λS)−bZ)+PL(aL(N−λS)−βF+(aLλS−q))+eFePF(fPβPL−γZ−q)+1ePZ(ePb(PS−(N(0)−λS))+eFγF+(ePb(N(0)−λS)−(q+mZ)))=(N−λS)(IN−IλS)+PL(aLλS−q)−eFePqF+PLF(−β+fFβeFeP)+Z(ePb(N(0)−λS)−(q+mZ))≤0. |
It folows from the invariance principle that
(ⅱ) Define the Lyapunov function by
V=∫NN⋆ξ−N⋆ξdξ+c1∫PSP⋆Sξ−P⋆Sξdξ+c2PL+c3F+c4∫ZZ⋆ξ−Z⋆ξdξ. |
Let
∙V=(N−N⋆)(IN−IN⋆−aS(PS−P⋆S)−aLPL)+(PS−P⋆S)(aS(N−N⋆)−b(Z−Z⋆))+(aL(N−N⋆)−βF+(aLN⋆−q))PL+eFeP(fFβPL−γ(Z−Z⋆)+(−γZ⋆−q))F+1eP(Z−Z⋆)(ePb(PS−P⋆S)+eFγF+ePbP⋆S−(q+mZ))=(N−N⋆)(IN−IN⋆)+FPL(−βc2+fFβeFeP)+(aLN⋆−q)PL+eFeP(−γZ⋆−q)F≤0. |
By invariance principle,
Remark 4.2: From our numerical simulation results, we conjecture that the equilibria
In this section, we determine conditions for the species in system (1.1) to coexist by applying the theory of uniform persistence of Butler, Freedman and Waltman [12,13,16]. Since the boundary dynamics for
Consider the operation diagram in Figure 3 and the case that
fFβ~PL−γ˜Z−q>0, | (5.1) |
where
Lemma 5.1 below shows that inequality (5.1) is equivalent to
I>λL(q+aLP⋆S)+aLfFβλL(γaSb(λL−λS)+q)=I2. | (5.2) |
Next, we consider the operation diagram in Figure 6 and the case that
I>IPS2=λL(1+aSfFβ)(q+βePγ(q+mZ)). |
Similarly, the equation for
aSˆN−bˆZ−q>0, | (5.3) |
where
In Lemma 5.1, we also prove that inequality (5.3) is equivalent to
I<I3=λL(q+βˆF)(1+aLfFβ)+(βˆF+q)1fFβ((λLλS−1)q+λLλSβˆF)γb. | (5.4) |
We state the lemma below.
(i) Inequalities (5.1) and (5.2) are equivalent.
(ii) Inequalities (5.3) and (5.4) are equivalent.
(iii) If
Proof. (ⅰ) Equivalence is established by substituting
1FdFdt|ESLZ=fFβ~PL−γ˜Z−q>0⇔~PL>γfFβ˜Z+qfFβ⇔1aL(IλL−q−aSP⋆S)>γfFβ˜Z+qfFβ⇔I>λL(q+aSP⋆S+aL(γfFβ˜Z+qfFβ))⇔I>λL(q+aSP⋆S)+aLfFβλL(γaSb(λL−λS)+q)=I2. |
This proves (ⅰ).
(ⅱ) First note that
1PSdPSdt|ELFZ=aSˆN−bˆZ−q>0⇔aSˆN−q>bˆZ=bfFβ^PL−qγ⇔γbfFβ(aSˆN−q+bqγ)>^PL=IaLˆN−λL⇔λL+γbfFβ(aSˆN−q+bqγ)>IaLˆN⇔I<aLˆN(λL+γbfFβ(aSˆN−q+bqγ))=I3. |
Using the equalities
aLˆN=βˆF+qandaSˆN−q=aS(ˆN−λS)=aS((λL−λS)+βˆFaL), |
we express
I3=(βˆF+q)(λL+γbfFβ(aS(λL−λS)+aSβˆFaL+bqγ)). |
Next, by the equivalence
q=λLaL<γb(aS(λL−λS)+aSaLβˆF+bqγ)⇔1+aLfFβ<1+γbfFβ(aS(1−λSλL)+aSaL1λLβˆF+bqγ1λL), |
it follows that
(ⅲ) Expanding
I2=λLq+λLaSq+mZePbqfFβγaSb(λL−λS)+q2fFβ, |
and
I3=βq+mZγeFλL+βq+mZγeFγbfFβaS(λL−λS)+βq+mZγeFγbfFβasaLβq+mZγeF+βq+mZγeFqfFβ+qλL+γbfFβqaS(λL−λS)+qaSβaLq+mZγeF+bγq2γbfFβ. |
If
We establish the coexistence of species in the next theorem wherein the proof follows directly from the above lemma.
Theorem 5.2. The following statements hold:
(i) If
(ii) If
Using the parameter values
When
{dNdt=I−qN−aSPSN−aLPLN,dPSdt=aSNPS−bZPS−qPS,dPLdt=aLNPL−βFPL−qPL,dFdt=fFβPLF−qF,dZdt=ePbPSZ−(q+mZ)Z | (6.1) |
and its food web is shown in Figure 9.
Theorem 6.1. Let
(i) If
(ii) If
(iii) If
(iv) If
Let
(ⅰ) If
(ⅱ) If
(ⅲ) If
(ⅳ) If
The global stability of system (6.1) is given in Figure 10.
Proof. (ⅰ) Note that
V=∫NλSξ−λSξdξ+∫PSP⋆Sξ−P⋆Sξdξ+PL+1fFF+1ePZ. |
Then
∙V=(N−λS)[IN−IλS−aS(PS−P⋆S)−aLPL]+(PS−P⋆S)[aS(N−λS)−bZ]+PL[aL(N−λS)−(q−aLλS)−βF]+1fFF(fFβPL−q)+1ePZ[ePb(PS−P⋆S)−[(q+mZ)−ePbP⋆S]]=−(N−λS)2NλS−qfFF−((q+mZ)−ePbP⋆S)1ePZ−(q−aLλS)PL≤0, |
from the assumption
(ⅱ) Note that
V=∫NN⋆ξ−N⋆ξdξ+∫PSPCSξ−P∗Sξdξ+PL+1fPF+1eP∫ZZ⋆ξ−Z⋆ξdξ. |
Then, by the assumptions
∙V=(N−N⋆)[IN−IN⋆−aS(PS−P⋆S)−aLPL]+(PS−P⋆S)[aS(N−N⋆)−b(Z−Z⋆)]+PL(aL(N−N⋆)−βF−(q−aLN⋆))+1fFF(fFβPL−q)+1eP(Z−Z⋆)[ePb(PS−P⋆S)−[(q+mZ)−ePbP⋆S]]=−(N−N⋆)2NN⋆−(q−aLN⋆)PL−qfFF≤0. |
Therefore
(ⅲ) Define the Lyapunov function
V=∫NλLξ−λLξdξ+∫PSP⋆Sξ−P⋆Sξdξ+∫PLP⋆Lξ−P⋆Lξdξ+1fFF+1eP∫ZˆZξ−ˆZξdξ. |
Then
∙V=(N−λL)[IN−IλL−aS(PS−P⋆S)−aL(PL−P⋆L)]+(PS−P⋆S)[aS(N−λL)−b(Z−ˆZ)]+(PL−P⋆L)(aL(N−λL)−βF)+1fFF(fFβ(PL−P⋆L)−(q−fFβP⋆L))+1eP(Z−ˆZ)(ePb(PS−P⋆S))=−I(N−λL)2NλL−1fF(q−fFβP⋆L). |
Using the assumptions
q−fFβP⋆L>0⇔qfFβ=PCL>P⋆L⇔PCL>I−qλL−aSP⋆SλLaLλL⇔(q+aSP⋆S+aLPCL)λL>I⇔λL>NC=Iq+aSP⋆S+aLPCL, |
we have
(ⅳ) Observe that the assumptions
V=∫NNCξ−NCξdξ+∫PSPCSξ−PCSξdξ+∫PLPCLξ−PCLξdξ+1fF∫FFCξ−FCξdξ+1eP∫ZZCξ−ZCξdξ, |
we obtain
∙V=(N−NC)[IN−INC−aS(PS−PCS)−aL(PL−PCL)]+(PS−PCS)[aS(N−NC)−b(Z−ZC)]+(PL−PCL)(aL(N−NC)−β(F−FC))+1fF(F−FC)(fFβ(PL−PCL))+1eP(Z−ZC)(ePb(PS−PCS))=−I(N−NC)2NNC≤0. |
Therefore it follows from invariance principle that
In this paper, we study an aquatic ecosystem with five species : a single nutrient resource
Now we discuss the role played by parasitic fungi in the coexistence of species in the food web. Recall that, in the absence of parasitic fungi, from Figure 3, coexistence of species occurs when
IF2<˜I3<I2<I3, |
where
IF2=q(λL+λLλSP⋆S),P⋆S=q+mZePb˜I3=λLq+aSP⋆SλL+aLqfFβλL=IF2+aLqfFβλLI2=λL(q+aSP⋆S)+aLfFβλL(q+γaSb(λL−λS))I3=˜I3+aLfFβλLγaSb(λL−λS). |
In view of the above, the best case for the coexistence of species of the food web is when
Finally, we note that in [9] the authors discuss the role of parasitic fungi in zooplankton biomass at steady states. Their conclusion is that the presence of an
The first author would like to acknowledge the financial support of the Department of Science and Technology-Science Education Institute (DOST-SEI), through the Accelerated Science and Technology Human Resource Development Program-National Science Consortium (ASTHRDP-NSC). The second author acknowledges the support of Ministry of Science and Technology (MOST), Taiwan and National Center of Theoretical Science, Taiwan.
The authors declare there is no conflict of interest.
[1] | K. Hornbæk, A. Oulasvirta, S. Reeves, S. Bødker, What to study in hci?, in Proc. of CHI EA '15, (2015), 2385–2388. https://doi.org/10.1145/2702613.2702648 |
[2] | A. Abdul, J. Vermeulen, D. Wang, B. Lim, M. Kankanhalli, Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda, in Proc. of CHI '18, (2018), 1–18. https://doi.org/10.1145/3173574.3174156 |
[3] | J. Huang, Z. Zhuang, J. Li, C. L. Giles, Collaboration over time: Characterizing and modeling network evolution, in Proc. of WSDM '08, (2008), 107–116. https://doi.org/10.1145/1341531.1341548 |
[4] |
F. Cheng, Y. Huang, D. Tsaih, C. Wu, Trend analysis of co-authorship network in library hi tech, Library Hi Tech., 37 (2019), 43–56. https://doi.org/10.1108/LHT-11-2017-0241 doi: 10.1108/LHT-11-2017-0241
![]() |
[5] |
B. Fida, F. Cutolo, G. di Franco, M. Ferrari, V. Ferrari, Augmented reality in open surgery, Updates Surgery, 70 (2018), 389–400. https://doi.org/10.1007/s13304-018-0567-8 doi: 10.1007/s13304-018-0567-8
![]() |
[6] |
S. D. J. Barbosa, M. S. Silveira, I. Gasparini, What publications metadata tell us about the evolution of a scientific community: The case of the brazilian human–computer interaction conference series, Scientometrics, 110 (2017), 275–300. https://doi.org/10.1007/s11192-016-2162-4 doi: 10.1007/s11192-016-2162-4
![]() |
[7] |
S. Uddin, L. Hossain, A. Abbasi, K. Rasmussen, Trend and efficiency analysis of co-authorship network, Scientometrics, 90 (2012), 687–699. https://doi.org/10.1007/s11192-011-0511-x doi: 10.1007/s11192-011-0511-x
![]() |
[8] |
J. Larrosa, Co-authorship networks of argentine economists, J. Econom. Finance Administr. Sci., 24 (2019), 82–96. https://doi.org/10.1108/JEFAS-06-2018-0062 doi: 10.1108/JEFAS-06-2018-0062
![]() |
[9] |
K. Lee, T. Nam, Hci in korea: Where imagination becomes reality, Interactions, 22 (2015), 48–51. https://doi.org/10.1145/2688446 doi: 10.1145/2688446
![]() |
[10] |
J. Y. Lee, M. Kam, N. G. Han, H. Song, Analysis of the role of library and information science related research efforts in korean human computer interaction subject field, J. Korean Soc. Inform. Manag., 33 (2016), 177–200. https://doi.org/10.3743/KOSIM.2016.33.2.177 doi: 10.3743/KOSIM.2016.33.2.177
![]() |
[11] | T. T. Hewett, R. Baecker, S. Card, T. Carey, J. Gasen, M. Mantei, et al., ACM SIGCHI curricula for human-computer interaction, ACM, 1992. https://doi.org/10.1145/2594128 |
[12] | R. W. Pew, Evolution of human-computer interaction: from memex to bluetooth and beyond, in The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications, CRC Press, (2002), 1–17. |
[13] | H. Lee, J. H. Park, Y. Song, Research collaboration networks of prolific institutions in the hci field in korea: An analysis of the hci korea conference proceedings, in Proceedings of HCI Korea '14, The HCI Society of Korea, (2014), 434–441. |
[14] | K. Lee, J. Lee, Usability in korea–from gui to user experience design, in Global usability, Springer, (2011), 309–331. https://doi.org/10.1007/978-0-85729-304-6_19 |
[15] |
L. Kang, S. Jackson, Collaborative art practice as hci research, Interactions, 25 (2018), 78–81. https://doi.org/10.1145/3177816 doi: 10.1145/3177816
![]() |
[16] |
S. Lee, B. Bozeman, The impact of research collaboration on scientific productivity, Soc. Studies Sci., 35 (2005), 673–702. https://doi.org/10.1177/0306312705052359 doi: 10.1177/0306312705052359
![]() |
[17] |
A. Higaki, T. Uetani, S. Ikeda, O. Yamaguchi, Co-authorship network analysis in cardiovascular research utilizing machine learning (2009–2019), Int. J. Med. Inform., 143 (2020), 104274. https://doi.org/10.1016/j.ijmedinf.2020.104274 doi: 10.1016/j.ijmedinf.2020.104274
![]() |
[18] |
F. Parand, H. Rahimi, M. Gorzin, Combining fuzzy logic and eigenvector centrality measure in social network analysis, Phys. A Statist. Mechan. Appl., 459 (2016), 24–31. https://doi.org/10.1016/j.physa.2016.03.079 doi: 10.1016/j.physa.2016.03.079
![]() |
[19] |
J. M. Bolland, Sorting out centrality: An analysis of the performance of four centrality models in real and simulated networks, Social Networks, 10 (1988), 233–253. https://doi.org/10.1016/0378-8733(88)90014-7 doi: 10.1016/0378-8733(88)90014-7
![]() |
[20] |
A. Bavelas, A mathematical model for group structures, Appl. Anthropol., 7 (1948), 16–30. https://doi.org/10.17730/humo.7.3.f4033344851gl053 doi: 10.17730/humo.7.3.f4033344851gl053
![]() |
[21] |
E. Yan, Y, Ding, Applying centrality measures to impact analysis: A coauthorship network analysis, J. Am. Soc. Inform. Sci. Technol., 60 (2009), 2107–2118. https://doi.org/10.1002/asi.21128 doi: 10.1002/asi.21128
![]() |
[22] |
F. J. Acedo, C. Barroso, C. Casanueva, J. Galán, Co-authorship in management and organizational studies: An empirical and network analysis, J. Manag. Studies, 43 (2006), 957–983. https://doi.org/10.1111/j.1467-6486.2006.00625.x doi: 10.1111/j.1467-6486.2006.00625.x
![]() |
[23] |
L. Yin, H. Kretschmer, R. A. Hanneman, Z. Liu, Connection and stratification in research collaboration: An analysis of the collnet network, Inform. Process. Manag., 42 (2006), 1599–1613. https://doi.org/10.1016/j.ipm.2006.03.021 doi: 10.1016/j.ipm.2006.03.021
![]() |
[24] |
S. Brin, L. Page, The anatomy of a large-scale hypertextual web search engine, Comput. Networks ISDN Syst., 30 (1998), 107–117. https://doi.org/10.1016/S0169-7552(98)00110-X doi: 10.1016/S0169-7552(98)00110-X
![]() |
[25] | H. Gil, D. Lee, S. Im, I. Oakley, Tritap: identifying finger touches on smartwatches, In Proc. of CHI '17, ACM, (2017), 3879–3890. https://doi.org/10.1145/3025453.3025561 |
[26] | H. Gil, H. Son, J. R. Kim, I. Oakley, Whiskers: Exploring the use of ultrasonic haptic cues on the face. In Proc. of CHI '18, ACM, (2018), 1–13. https://doi.org/10.1145/3173574.3174232 |
[27] | S. Je, H. Lee, M. J. Kim, A. Bianchi, Wind-blaster: A wearable propeller-based prototype that provides ungrounded force-feedback. In ACM SIGGRAPH 2018 Emerging Technologies, ACM, (2018), 1–2. |
[28] | S. Je, M. Lee, Y. Kim, L. Chan, X. Yang, A. Bianchi, Pokering: Notifications by poking around the finger. In Proc. of CHI '18, ACM, (2018), 1–10. |
[29] | J. Lee, H. Yeo, M. Dhuliawala, J. Akano, J. Shimizu, T. Starner, et al., Itchy nose: Discreet gesture interaction using eog sensors in smart eyewear. In Proceedings of the 2017 ACM International Symposium on Wearable Computers, ACM, (2017), 94–97. |
[30] | S. Shin, S. Choi, Geometry-based haptic texture modeling and rendering using photometric stereo, In Proc. of 2018 IEEE Haptics Symposium (HAPTICS), IEEE, (2018), 262–269. https://doi.org/10.1109/HAPTICS.2018.8357186 |
1. | Abel Cabrera-Martínez, Ismael Ríos Villamar, Juan M. Rueda-Vázquez, José M. Sigarreta Almira, Double total domination in the generalized lexicographic product of graphs, 2024, 47, 1607-3606, 689, 10.2989/16073606.2023.2252183 | |
2. | Antoaneta Klobučar, Ana Klobučar Barišić, Total and Double Total Domination on Octagonal Grid, 2024, 13, 2075-1680, 792, 10.3390/axioms13110792 | |
3. | Miroslava Mihajlov Carević, Domination number on an octagonal chain and an octagonal grid, 2024, 76, 1027-3190, 10.3842/umzh.v76i12.7995 |
Parameter | Description |
| Input amount of phosphorus (nutrient level) |
| Input concentration of nutrient |
| Washout rate |
| Zooplankton mortality rate, |
besides washout rate | |
| Nutrient affinity of phytoplankton |
| Infectivity constant of fungi |
| Zooplankton clearance rate for small phytoplankton |
| Zooplankton clearance rate for fungi |
| Gross growth efficiency (GGE) of zooplankton from fungi |
| GGE of zooplankton from small phytoplankton |
| GGE of fungi from its host |
Existence | Locally asymptotically stable if | |
| always | |
| under | |
| | |
| | |
| under | |
| | |
| | |
Parameter | Description |
| Input amount of phosphorus (nutrient level) |
| Input concentration of nutrient |
| Washout rate |
| Zooplankton mortality rate, |
besides washout rate | |
| Nutrient affinity of phytoplankton |
| Infectivity constant of fungi |
| Zooplankton clearance rate for small phytoplankton |
| Zooplankton clearance rate for fungi |
| Gross growth efficiency (GGE) of zooplankton from fungi |
| GGE of zooplankton from small phytoplankton |
| GGE of fungi from its host |
Existence | Locally asymptotically stable if | |
| always | |
| under | |
| | |
| | |
| under | |
| | |
| | |