We introduce a new method for visualizing and analyzing information landscapes of ideas and events posted on public web pages through customized web-search engines and keywords.This research integrates GIScience and w...We introduce a new method for visualizing and analyzing information landscapes of ideas and events posted on public web pages through customized web-search engines and keywords.This research integrates GIScience and web-search engines to track and analyze public web pages and their web contents with associated spatial relationships.Web pages searched by clusters of keywords were mapped with real-world coordinates(by geolocating their Internet Protocol addresses).The resulting maps represent web information landscapes consisting of hundreds of populated web pages searched by selected keywords.By creating a Spatial Web Automatic Reasoning and Mapping System prototype,researchers can visualize the spread of web pages associated with specific keywords,concepts,ideas,or news over time and space.These maps may reveal important spatial relationships and spatial context associated with selected keywords.This approach may provide a new research direction for geographers to study the diffusion of human thought and ideas.A better understanding of the spatial and temporal dynamics of the‘collective thinking of human beings’over the Internet may help us understand various innovation diffusion processes,human behaviors,and social movements around the world.展开更多
Many scholars have argued that the importance of geographic proximity in human interactions has been diminished by the use of the Internet,while others disagree with this argument.Studies have noted the distance decay...Many scholars have argued that the importance of geographic proximity in human interactions has been diminished by the use of the Internet,while others disagree with this argument.Studies have noted the distance decay effect in both cyberspace and real space,showing that interactions occur with an inverse relationship between the number of interactions and the distance between the locations of the interactors.However,these studies rarely provide strong evidence to show the influence of distance on interactions in cyberspace,nor do they quantify the differences in the amount of friction of distance between cyberspace and real space.To fill this gap,this study used massive amounts of social media data(Twitter)to compare the influence of distance decay on human interactions between cyberspace and real space in a quantitative manner.To estimate the distance decay effect in both cyberspace and real space,the distance decay function of interactions in each space was modeled.Estimating the distance decay in cyberspace in this study can help predict the degree of information flow across space through social media.Measuring how far ideas can be diffused through social media is useful for users of location-based services,policy advocates,public health officials,and political campaigners.展开更多
文摘We introduce a new method for visualizing and analyzing information landscapes of ideas and events posted on public web pages through customized web-search engines and keywords.This research integrates GIScience and web-search engines to track and analyze public web pages and their web contents with associated spatial relationships.Web pages searched by clusters of keywords were mapped with real-world coordinates(by geolocating their Internet Protocol addresses).The resulting maps represent web information landscapes consisting of hundreds of populated web pages searched by selected keywords.By creating a Spatial Web Automatic Reasoning and Mapping System prototype,researchers can visualize the spread of web pages associated with specific keywords,concepts,ideas,or news over time and space.These maps may reveal important spatial relationships and spatial context associated with selected keywords.This approach may provide a new research direction for geographers to study the diffusion of human thought and ideas.A better understanding of the spatial and temporal dynamics of the‘collective thinking of human beings’over the Internet may help us understand various innovation diffusion processes,human behaviors,and social movements around the world.
基金This material is based upon work supported by the National Science Foundation[grant number 1416509]IBSS project titled‘Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks’and National Science Foundation[grant number 1634641]IMEE project titled‘Integrated Stage-Based Evacuation with Social Perception Analysis and Dynamic Population Estimation’.
文摘Many scholars have argued that the importance of geographic proximity in human interactions has been diminished by the use of the Internet,while others disagree with this argument.Studies have noted the distance decay effect in both cyberspace and real space,showing that interactions occur with an inverse relationship between the number of interactions and the distance between the locations of the interactors.However,these studies rarely provide strong evidence to show the influence of distance on interactions in cyberspace,nor do they quantify the differences in the amount of friction of distance between cyberspace and real space.To fill this gap,this study used massive amounts of social media data(Twitter)to compare the influence of distance decay on human interactions between cyberspace and real space in a quantitative manner.To estimate the distance decay effect in both cyberspace and real space,the distance decay function of interactions in each space was modeled.Estimating the distance decay in cyberspace in this study can help predict the degree of information flow across space through social media.Measuring how far ideas can be diffused through social media is useful for users of location-based services,policy advocates,public health officials,and political campaigners.
