000197477 001__ 197477
000197477 005__ 20181203023439.0
000197477 037__ $$aARTICLE
000197477 245__ $$aA Model of Online Social Interactions based on Sentiment Analysis and Content Similarity
000197477 269__ $$a2013
000197477 260__ $$c2013
000197477 336__ $$aJournal Articles
000197477 520__ $$aIn this paper we create a model of human behavior in online communities, based on the network topology and on the communication content. The model contains eleven distinct hypotheses, which validate three intuitions. The rst intuition is that the network topology alone fails to clearly distinguish between the users who contribute to the community and the troublemakers. The second intuition is that the content of the messages exchanged in an online community can separate good and insightful contri- butions from the rest. The third intuition is that there is a delay until the network stabilizes and un- til standard measures, such as betweenness central- ity, can be used accurately. Taken together, these three intuitions are a solid case against indiscrimi- nately using network measures. They also underline the importance of the communication content. We show that the sentiment within the messages, espe- cially antagonism, can signicantly alter the commu- nity perception. We create a novel sentiment analysis technique to identify antagonistic behavior. We use real world data, taken from the Slashdot discussion forum to validate our model. All the find- ings are accompanied by extremely signicant t-test p-values.
000197477 700__ $$0245897$$aMusat, Claudiu-Cristian$$g220142
000197477 700__ $$0240959$$aFaltings, Boi$$g105074
000197477 700__ $$aRoussille, Philippe
000197477 773__ $$tThe Academy of Science and Engineering Human Journal
000197477 8564_ $$s1182629$$uhttps://infoscience.epfl.ch/record/197477/files/ASE.pdf$$yn/a$$zn/a
000197477 909C0 $$0252184$$pLIA$$xU10406
000197477 909CO $$ooai:infoscience.tind.io:197477$$pIC$$particle
000197477 917Z8 $$x208605
000197477 937__ $$aEPFL-ARTICLE-197477
000197477 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000197477 980__ $$aARTICLE