<p><b>(A)</b> Response probability <i>p</i> versus structure of source user <i>u</i><sub><i>s</i></sub> and be-mentioned user <i>u</i><sub><i>m</i></sub>. <b>(B)</b> Response probability <i>p</i> versus structure of two be-mentioned users <i>u</i><sub><i>m</i>1</sub> and <i>u</i><sub><i>m</i>2</sub>. From (a)(b), we can both observe that the response probability is the highest when a reciprocal followship exists between users. <b>(C)</b> Response probability <i>p</i> versus degree ratio , where <i>d</i>(<i>u</i><sub><i>m</i></sub>) represents the number of followers of be-mentioned user <i>u</i><sub><i>m</i></sub> and <i>d</i>(<i>u</i><sub><i>s</i></sub>) is the number of followers of source user <i>u</i><sub><i>s</i></sub>. We find that th...
What explains the large variation in the number of contacts (degree) that di¤erent participants of s...
<p>Plot A and D: Strength distribution of the semantic (A) and users’ interest network (D). The dist...
<p>The probability of retweeting as a function of the number of followees who have tweeted a post, (...
<p>(a) The degree distribution specifies how likely it is for a person to have a particular number o...
<p><b>(a)</b> The size of the maximum matching <i>n</i><sub>max</sub> increases monotonically with t...
Human interpersonal communications drive political, technological, and economic systems, placing imp...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
<p>Total number of nodes (<i>N</i>); number of edges (<i>E</i>); average degree per node (〈<i>k</i>〉...
<p><b>(A)</b> Cumulative distribution <i>P</i>(≥ <i>k</i>) where <i>k</i> denotes the number of ‘@’ ...
<p>Fraction of realizations in which the innovative method has been adopted versus the initial perfo...
Abstract. How the information diffuses over a large social network depends on both the model employe...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
Human interpersonal communications drive political, technological, and economic systems, placing imp...
<p>Initially, all nodes in network <i>A</i> (<i>B</i>) are positive (negative). (a) <i>P</i><sub>+</...
<p>Relationship between the number of responses to the questionnaire and its rate of diffusion in so...
What explains the large variation in the number of contacts (degree) that di¤erent participants of s...
<p>Plot A and D: Strength distribution of the semantic (A) and users’ interest network (D). The dist...
<p>The probability of retweeting as a function of the number of followees who have tweeted a post, (...
<p>(a) The degree distribution specifies how likely it is for a person to have a particular number o...
<p><b>(a)</b> The size of the maximum matching <i>n</i><sub>max</sub> increases monotonically with t...
Human interpersonal communications drive political, technological, and economic systems, placing imp...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
<p>Total number of nodes (<i>N</i>); number of edges (<i>E</i>); average degree per node (〈<i>k</i>〉...
<p><b>(A)</b> Cumulative distribution <i>P</i>(≥ <i>k</i>) where <i>k</i> denotes the number of ‘@’ ...
<p>Fraction of realizations in which the innovative method has been adopted versus the initial perfo...
Abstract. How the information diffuses over a large social network depends on both the model employe...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
Human interpersonal communications drive political, technological, and economic systems, placing imp...
<p>Initially, all nodes in network <i>A</i> (<i>B</i>) are positive (negative). (a) <i>P</i><sub>+</...
<p>Relationship between the number of responses to the questionnaire and its rate of diffusion in so...
What explains the large variation in the number of contacts (degree) that di¤erent participants of s...
<p>Plot A and D: Strength distribution of the semantic (A) and users’ interest network (D). The dist...
<p>The probability of retweeting as a function of the number of followees who have tweeted a post, (...