东南大学学报(自然科学版)
東南大學學報(自然科學版)
동남대학학보(자연과학판)
JOURNAL OF SOUTHEAST UNIVERSITY
2015年
3期
438-442
,共5页
机会网络%敏感性%虚拟机会网络分层模型%社团划分
機會網絡%敏感性%虛擬機會網絡分層模型%社糰劃分
궤회망락%민감성%허의궤회망락분층모형%사단화분
opportunistic network%sensitivity%virtual opportunistic network hierarchical model%community detection
为了解决在消息敏感的机会网络中社团划分结果不可重用的问题,提出了一种与消息类型相匹配的机会网络分层模型。首先,将机会网络的物理节点集映射为与消息类型匹配的虚拟节点集,并以此为基础建立虚拟机会网络层;然后,在虚拟机会网络层上,建立虚拟节点集的社会关系;最后,对虚拟节点集的社会关系进行社团划分。实验结果表明:在消息数量相同的条件下,当消息序列中相邻位置消息的类型差异度分别为40%和100%时,在虚拟层上进行社团划分的时间与在物理机会网络上直接进行社团划分的时间相比分别减少约58%和89%;基于分层模型的社团划分的运行次数仅依赖于消息类型的数量,而不会随消息数量或消息序列中不同类型消息交错方式的变化而变化。
為瞭解決在消息敏感的機會網絡中社糰劃分結果不可重用的問題,提齣瞭一種與消息類型相匹配的機會網絡分層模型。首先,將機會網絡的物理節點集映射為與消息類型匹配的虛擬節點集,併以此為基礎建立虛擬機會網絡層;然後,在虛擬機會網絡層上,建立虛擬節點集的社會關繫;最後,對虛擬節點集的社會關繫進行社糰劃分。實驗結果錶明:在消息數量相同的條件下,噹消息序列中相鄰位置消息的類型差異度分彆為40%和100%時,在虛擬層上進行社糰劃分的時間與在物理機會網絡上直接進行社糰劃分的時間相比分彆減少約58%和89%;基于分層模型的社糰劃分的運行次數僅依賴于消息類型的數量,而不會隨消息數量或消息序列中不同類型消息交錯方式的變化而變化。
위료해결재소식민감적궤회망락중사단화분결과불가중용적문제,제출료일충여소식류형상필배적궤회망락분층모형。수선,장궤회망락적물리절점집영사위여소식류형필배적허의절점집,병이차위기출건립허의궤회망락층;연후,재허의궤회망락층상,건립허의절점집적사회관계;최후,대허의절점집적사회관계진행사단화분。실험결과표명:재소식수량상동적조건하,당소식서렬중상린위치소식적류형차이도분별위40%화100%시,재허의층상진행사단화분적시간여재물리궤회망락상직접진행사단화분적시간상비분별감소약58%화89%;기우분층모형적사단화분적운행차수부의뢰우소식류형적수량,이불회수소식수량혹소식서렬중불동류형소식교착방식적변화이변화。
In order to solve the problem that the community detection results cannot be repeatedly used in the information sensitivity opportunistic network, an opportunistic network hierarchical model which matches with information types is proposed.First, the physical node set in the opportunistic network is mapped as a virtual node set which matches with information types, based on which the virtual opportunistic network layer is established.Then, the social relationship of the virtual node set is built on the virtual opportunistic network layer.Finally, community detection is conducted on the social relationship of the virtual node set.The experimental results show that when the difference de-grees of the types of adjacent information in the information sequence are 40%and 100%, the time consumption in community detection on the virtual layer decreases by about 58%and 89%compared with that in the physical opportunistic network with the same information quantity, respectively.The execution number of the community detection operations based on the layer model only depends on the number of the information types, and does not change with the change of the information quanti-ty or the overlapping ways of the different information types in the information sequence.