[av_heading heading=’Social Network Analysis’ tag=’h2′ color=” style=” padding=’10’]
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The different ways people, systems and artifacts are connected provide a wealth of data that if properly analyzed and visualized can provide important patterns of connections, ties, propagation of information, influences, enforcement/emergence of regulations and policies, interdependencies between actors, groups, etc. Social network analysis can be used as a tool for real-world experimentation to understand how different patterns (of whatever concerning actors’ social life) emerge, or as a way to allow systems’ reconfigurability by measuring how important, satisfactory or stimulating are different things shared between actors through their connections and how these result to actual behaviors.
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[av_iconlist_item title=’Selected Publications’ link=” linktarget=” icon=’ue84d’ font=’entypo-fontello’]
| Christos Vlassopoulos, Ioannis Kontopoulos, Michail Apostolou, Alexander Artikis, Dimitrios Vogiatzis: Dynamic graph management for streaming social media analytics. DEBS 2016: 382-385 |
| Maria Karanasou, Christos Doulkeridis and Maria Halkidi: “DsUniPi: An SVM-based approach for Sentiment Analysis of Figurative Language on Twitter”, 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015. |
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