Applications of Social Media and Social Network Analysis by Przemyslaw Kazienko, Nitesh Chawla

By Przemyslaw Kazienko, Nitesh Chawla

This selection of contributed chapters demonstrates quite a lot of purposes inside of overlapping study domain names: social media research and social community research. numerous methodologies have been used in the twelve person chapters together with static, dynamic and real-time techniques to graph, textual and multimedia info research. the subjects practice to acceptance computation, emotion detection, subject evolution, rumor propagation, overview of textual evaluations, good friend score, research of public transportation networks, diffusion in dynamic networks, research of participants to groups of open resource software program builders, biometric template iteration in addition to research of consumer habit inside of heterogeneous environments of cultural academic facilities. Addressing those hard purposes is what makes this edited quantity of curiosity to researchers and scholars keen on social media and social community analysis.

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Onnela et al. [22] studied a massive dataset of weighted ties, constructed via the rate of interactions among mobile phone users. Adamic, Lauterbach, and various coauthors [1, 16, 24] have studied the role of friendship strength in determining levels of trust among members of the CouchSurfing community; for example, these authors showed that there is an inflationary effect in users’ ratings of others if those ratings are made publicly and nonanonymously. Wuchty and Uzzi [25] compared self-reported “close relationships” with those inferred based on email-response times.

Our experiments show our proposed centrality measures are different from the traditional centrality measures. The commuter flow and DelayFlow centrality values of stations can vary a lot throughout a day. They can also be very different between weekdays and weekends. This also justifies the usefulness of the new measures. • Finally, we have developed a visual analytics tool to evaluate the newly proposed centrality measures and other traditional ones. The tool allows users to select centrality measure, time of the day and other factors to be analyzed easily.

Coalson Department of Computer Science, Carleton College, 1 N. edu C. edu C. edu © Springer International Publishing Switzerland 2015 P. Kazienko and N. 1007/978-3-319-19003-7_3 41 42 D. Liben-Nowell et al. 1 Introduction Different social relationships have different priorities. Implicitly or explicitly, we all make daily decisions in which we choose one friend over another: we answer that email first; we find time for coffee with this person after telling another that we were too busy; we mention the job opportunity or free tickets to that friend instead of the other one.

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