By Przemyslaw Kazienko, Nitesh Chawla
This number of contributed chapters demonstrates a variety of functions inside of overlapping study domain names: social media research and social community research. a number of methodologies have been used in the twelve person chapters together with static, dynamic and real-time ways to graph, textual and multimedia info research. the subjects follow to recognition computation, emotion detection, subject evolution, rumor propagation, overview of textual evaluations, buddy rating, research of public transportation networks, diffusion in dynamic networks, research of participants to groups of open resource software program builders, biometric template new release in addition to research of consumer habit inside of heterogeneous environments of cultural academic facilities. Addressing those difficult functions is what makes this edited quantity of curiosity to researchers and scholars desirous about social media and social community analysis.
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Fig. -Y. Cheng et al. #Trip Transactions 30 Time Segments x000 to (x+1)000 hours Fig. 4 Commuter flow (weekend) Figures 3 and 4 show the number of commuters at different 1 h time segments on a weekday and weekend day respectively. They show that the number of commuters peaks on both the morning and evening rush hours on weekdays, but peaks only in the evening on a weekend. The weekday trend indicates that many commuters use MRT trains to get to their work places in the morning, and return home from work in the evening.
2 Singapore MRT Network (CL), and blue for the interchange stations. We use two datasets about MRT network. The first dataset MRTDB consists of nearly 2 millions commuter trip transactions per day. In our experiment, we used three days worth of trip transaction data from November 26 (Saturday) to November 28, 2011 (Monday) to derive the commuter flow information. The second dataset GoThereDB provides data about the travel time information. MRTDB Dataset Each trip transaction consists of the origin station, destination station and the timestamps at the two stations.
Sevtsuk A, Mekonnen M (2012) Urban network analysis toolbox. Int J Geomat Spat Anal 22(2):287–305 Indifferent Attachment: The Role of Degree in Ranking Friends David Liben-Nowell, Carissa Knipe and Calder Coalson Abstract The MySpace social networking site allows each user to designate a small subset of her friends as “Top Friends,” and place them in a rank-ordered list that is displayed prominently on her profile. By examining a large set of ≈11 M MySpace users’ choices of their #1 (best) and #2 (second-best) friends from historical crawl data from when MySpace was more popular than it now is, we discover that MySpace users were nearly indifferent to the popularity of these two friends when choosing which to designate as their best friend.