Titlebook: Online Social Media Analysis and Visualization; Jalal Kawash Book 2014 Springer International Publishing Switzerland 2014 Interpreting Soc

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mucous-membrane

ted into evolutionary forces in the population. An approach to this is the analysis of phenotypic characters related to competition coefficients through the use of the niche concept as formulated by Mac- Arthur and Levins (1967; Levins, 1968). This formulation has been used in the analysis of intras

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Identifying Event-Specific Sources from Social Media,nce. The participatory nature of social media creates an environment highly conducive for people to share information, voice their opinion, and engage in discussions. It is not uncommon to find novel and specific information with intimate details for an event on social media platforms in contrast to

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ferment

Say It with Colors: Language-Independent Gender Classification on Twitter,e onset of OSNs has stretched the traditional notion of community to include groups of people who have never met in person but communicate with each other through OSNs to share knowledge, opinions, interests and activities. Here we explore in depth language independent gender classification. Our app

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BINGE

Evaluating Important Factors and Effective Models for Twitter Trend Prediction, basic issues in Twitter trend prediction, i.e., what are the important factors and what may be the appropriate models. To address the first issue, we consider different content and context factors by designing features from tweet messages, network topology, and user behavior, etc. To address the se

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Rings: A Visualization Mechanism to Enhance the User Awareness on Social Networks, generated by them. It is very easy to miss potentially interesting updates, if one does not frequently check her news feed. Also it is hard to get a sense of which friends are active and especially, which are passive or completely gone. Awareness of friends and friends’ activities, or the lack of t

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,Friends and Circles—A Design Study for Contact Management in Egocentric Online Social Networks,igned a tool for the exploratory visualization of friend groupings. These groups (“circles”) are formed by a hierarchical modularity-based algorithm for community detection (MOD). We then conducted a user study that showed that the hierarchical modularity-based circles were more helpful for users th

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