软件学报
軟件學報
연건학보
JOURNAL OF SOFTWARE
2014年
12期
2837-2851
,共15页
社交网络%信息扩散%信息源定位%观察点部署%r覆盖率
社交網絡%信息擴散%信息源定位%觀察點部署%r覆蓋率
사교망락%신식확산%신식원정위%관찰점부서%r복개솔
social network%information diffusion%information source location%observer deployment%r coverage rate
准确地定位社交网络上的信息扩散源点,对于网络信息扩散控制具有重要的现实意义。现有的一种可行方法是通过在网络中观察点搜集的过程信息对扩散源进行定位,定位准确率与观察点的选择紧密相关。针对网络中的信息扩散源定位问题,提出了一种网络观察点优化部署方法。考虑单信息源的信息扩散过程,首先分析了特定信息源定位准确率与观察点部署位置之间的关系,以此为基础,发现了与任意信息源定位准确率相关的关键因素。提出基于r覆盖率的观察点部署策略,以观察点集合的r覆盖率作为目标函数,实现了r覆盖率优先观察点选取算法。在模型网络与实际网络上进行了实验,验证了该方法的有效性。提出的观察点部署策略对于网络谣言、计算机病毒的控制具有重要意义。
準確地定位社交網絡上的信息擴散源點,對于網絡信息擴散控製具有重要的現實意義。現有的一種可行方法是通過在網絡中觀察點搜集的過程信息對擴散源進行定位,定位準確率與觀察點的選擇緊密相關。針對網絡中的信息擴散源定位問題,提齣瞭一種網絡觀察點優化部署方法。攷慮單信息源的信息擴散過程,首先分析瞭特定信息源定位準確率與觀察點部署位置之間的關繫,以此為基礎,髮現瞭與任意信息源定位準確率相關的關鍵因素。提齣基于r覆蓋率的觀察點部署策略,以觀察點集閤的r覆蓋率作為目標函數,實現瞭r覆蓋率優先觀察點選取算法。在模型網絡與實際網絡上進行瞭實驗,驗證瞭該方法的有效性。提齣的觀察點部署策略對于網絡謠言、計算機病毒的控製具有重要意義。
준학지정위사교망락상적신식확산원점,대우망락신식확산공제구유중요적현실의의。현유적일충가행방법시통과재망락중관찰점수집적과정신식대확산원진행정위,정위준학솔여관찰점적선택긴밀상관。침대망락중적신식확산원정위문제,제출료일충망락관찰점우화부서방법。고필단신식원적신식확산과정,수선분석료특정신식원정위준학솔여관찰점부서위치지간적관계,이차위기출,발현료여임의신식원정위준학솔상관적관건인소。제출기우r복개솔적관찰점부서책략,이관찰점집합적r복개솔작위목표함수,실현료r복개솔우선관찰점선취산법。재모형망락여실제망락상진행료실험,험증료해방법적유효성。제출적관찰점부서책략대우망락요언、계산궤병독적공제구유중요의의。
Locating information source accurately is important for controlling its diffusion on the social network. In previous studies, a feasible way is locating the source using process information collected by the observers. Thus, the accuracy rate is closely related to the observer positions. In this paper, an optimal deployment method for observer positions is proposed. Considering the information diffusion process for single source, it firstly analyzes the relationship between the accuracy rate for locating a specified source and the positions of observers. Based on the relationship, it finds a key factor which is related to the accuracy rate of locating any source. It then suggests a method to deploy the observer positions based on r-coverage rate. It chooses the r-coverage rate of the observers as the objective function to implement the r-coverage rate first observer selection algorithm. The proposed method is tested on model and real networks respectively. Results show that the proposed method is effective. The observer deployment method is significant in controlling internet rumors and computer virus.