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The overall network shape resembled a community where distinct groups formed within the network. Our current analyses demonstrated that less than 10% of the total members interacted on Twitter. This study identified the most influential Twitter users within the '#igcs2020' community. he results also confirmed the community network shape of the #igcs2020 hashtag and found that the most frequent co-related words were 'ovarian' and 'cancer' (n=39). This study identified the most influential Twitter users within the '#igcs2020' community. he r
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