计算机技术与发展
計算機技術與髮展
계산궤기술여발전
Computer Technology and Development
2015年
10期
140-144
,共5页
田飞%陈翰雄%黄雅云%陈春玲
田飛%陳翰雄%黃雅雲%陳春玲
전비%진한웅%황아운%진춘령
自适应网络%重置概率%传播临界值%稳定性
自適應網絡%重置概率%傳播臨界值%穩定性
자괄응망락%중치개솔%전파림계치%은정성
adaptive network%resetting probability%epidemic threshold%stability
自适应网络是反映网络动力学和节点动力学相互作用、相互反馈的网络。针对链接重置概率与病毒传播率呈线性正相关关系的自适应网络,建立了基于可变重置概率的自适应网络SIS病毒传播模型的动力学方程。利用非线性微分动力学系统,研究病毒在自适应复杂网络上的传播行为,并通过分析非线性系统对应的雅可比矩阵特征方程,研究系统平衡点的存在条件并对其作稳定性分析。研究发现,当病毒传播阈值R0<1时,系统的无病平衡点局部渐进稳定,不存在地方病平衡点;当病毒传播阈值R0>1时,系统无病平衡点不稳定,存在惟一的地方病平衡点,且该地方病平衡点局部渐进稳定。最后通过数值仿真验证了所得结论的正确性。结果表明,当病毒传播阈值小于1时,病毒将逐渐消亡;当病毒传播阈值大于1时,网络中的病毒将持续传播。
自適應網絡是反映網絡動力學和節點動力學相互作用、相互反饋的網絡。針對鏈接重置概率與病毒傳播率呈線性正相關關繫的自適應網絡,建立瞭基于可變重置概率的自適應網絡SIS病毒傳播模型的動力學方程。利用非線性微分動力學繫統,研究病毒在自適應複雜網絡上的傳播行為,併通過分析非線性繫統對應的雅可比矩陣特徵方程,研究繫統平衡點的存在條件併對其作穩定性分析。研究髮現,噹病毒傳播閾值R0<1時,繫統的無病平衡點跼部漸進穩定,不存在地方病平衡點;噹病毒傳播閾值R0>1時,繫統無病平衡點不穩定,存在惟一的地方病平衡點,且該地方病平衡點跼部漸進穩定。最後通過數值倣真驗證瞭所得結論的正確性。結果錶明,噹病毒傳播閾值小于1時,病毒將逐漸消亡;噹病毒傳播閾值大于1時,網絡中的病毒將持續傳播。
자괄응망락시반영망락동역학화절점동역학상호작용、상호반궤적망락。침대련접중치개솔여병독전파솔정선성정상관관계적자괄응망락,건립료기우가변중치개솔적자괄응망락SIS병독전파모형적동역학방정。이용비선성미분동역학계통,연구병독재자괄응복잡망락상적전파행위,병통과분석비선성계통대응적아가비구진특정방정,연구계통평형점적존재조건병대기작은정성분석。연구발현,당병독전파역치R0<1시,계통적무병평형점국부점진은정,불존재지방병평형점;당병독전파역치R0>1시,계통무병평형점불은정,존재유일적지방병평형점,차해지방병평형점국부점진은정。최후통과수치방진험증료소득결론적정학성。결과표명,당병독전파역치소우1시,병독장축점소망;당병독전파역치대우1시,망락중적병독장지속전파。
The adaptive network is the kind of network that reflects the relation of interaction and mutual feedback between node dynamics and network dynamics. Based on a specific adaptive epidemic spreading model,in which the resetting probability is affected significantly, linearly and positively by the virus transmission rate,a modified susceptible-infected-susceptible epidemic model with varied resetting probability in adaptive networks is presented. Epidemic spreading dynamics is studied by nonlinear differential dynamic system. The exist-ing condition and local stability of the equilibrium in this network model are investigated by analyzing its corresponding characteristic e-quation of Jacobian Matrix of the nonlinear system. It is shown that when the epidemic threshold R0 < 1, the disease-free equilibrium is asymptotically locally stable and endemic equilibrium does not exist. And if R0 > 1,the disease-free equilibrium is not stable and there exists the only asymptotically locally stable endemic equilibrium. Numerical simulations are given to verify the results of theoretical analy-sis. The result shows that when the epidemic threshold is less than 1,the disease will die out,and when the epidemic threshold is greater than 1,the disease will continue to spread in the network.