Abstract Both researchers andpractitioners have been applying agent-based modeling and simulation acrossrange of disciplines. Political science, social sciences, biology, ecology,business, computer simulation, economic science, military studies and policyare examples of these disciplines. Through fast and exhaustive research anddevelopment, application and knowledge of ABMS endure to enlarge and assembled.Rumor is unproven statement orinterpretation spread and have very strong impact on humans life. Spread ofrumor can have multiple negative effects.
Rumors are as old as human history butit has emerged with the rise of internet. There are many damaging effects thatemerge in past decades as rate of spreading misinformation has significantlyincreased with the increase of technologies. The spread of rumor is more andfaster in these days than ever before. Since rumor spreading has harmful effectas it can intend panic and anxiety, there is need to control the spread of fakeinformation. A rumor is spread through the individuals or through some mediums.
We will explore the spread of rumor from individuals to individuals. There isstrategy to randomly choose some individuals and let them know the rumor is notconfirmed.IntroductionRumor is unproved and unconfirmedinformation which is spread among public and it is hard to determine whether itis true or false. In most cases rumor is false news. The rumor spread isgrowing rapidly with the growth of internet technologies. The spread of falseinformation and rumors poses growing risks to society and the economy. There arestudies from theoretical as well as empirical point of view that are focused onprice and market selection due to the spread of rumor. In other domains like sociology,psychology, and policy management domain, researches about rumors are mainlyfocused mainly on the effect of rumors on management and policymaking to reduceanxiety and damage.
If rumor is false it may cause real threat to theindividuals or institutions. It has influence on perception and understandingsof events. It can harm economy and itmay invoke fear as well. Scholars have established the rumor spread models tolook for rumor spread law.
The first rumor-spreadmathematical model was proposed by Daley and Kendall in 1965, called DK model 1.In this model, he divided the public in three categories the one were who donot know the rumor, people who know and spread the rumor, and people who knowthe rumor but do not transmit it. There was thought by Maki and Thompson 2that when a spreader meets another only first one stops propagating. Theserumor models laid foundations for follow up studies. A realistic model will havemajor theoretical and practical significance. A rumor spreads among individuals.There are two methods proposed to control rumor at present. One is by changingnetwork topology of rumor spread and other is by external strategies.
In this model the rumor model ismodified and strategy is to random select the individuals to tell them aboutthe falsity of rumor so that they are not affected by rumor and provide amethod to suppress the spread of harms of rumor. ObjectiveThe objective is to control therumor by suppression of inconvenient rumors. Suppressing rumor is an attempt tocontrol the thoughts of individuals. It is manipulation of communicationcontent so that desired perspectives will be formed.MethodologyIn rumor model the individual isin centered among eight neighbors. The individuals who know the rumor isspreading it by telling one of his neighbor.
The simulation keeps track of thenumber of people who know the rumor. In this paper we modified the rumor model to minimizethe rumor spread a strategy is used that randomly select individuals such thatthese individuals do not believe on rumor. These individuals suppress rumor bytargeting their neighbors which are affected by rumor. They selectively choosea few neighboring individuals and let them know the truth of the rumor.