The Social Tools Summit, on May 12, 2015 in Boston, was a unique conference that featured commercially available social media tools and focused on helping attendees understand how to benefit from them. Between May 11, 2015 9PM EST and May 12, 2015 9PM EST, Scraawl collected 3,433 #SocialTools15 tweets from the event. In today’s post, we will utilize Scraawl’s basic and advanced analytics to investigate the #SocialTools15 tweets to understand the users, mentions, topics, communities, sentiment, influencers, and even identify a pair of “bots” that tried to influence the event.
The 3,433 #SocialTools15 tweets included 884 users, 385 hashtags, 402 mentions, and 563 retweets. The basic statistics (i.e. the “Top 5s”) and timeline for #SocialTools15 are shown below. If you’d like to see the “Top 50s” and more for each of these categories, visit the #SocialTools15 Scraawl public report. From the “Basic Statistics” screen, you can click “Details” for any category you’d like to investigate further.
At 84% positive, #SocialTools15 sentiment, shown below, was strong throughout the day. @NicoleKroese, @susienelson, @Andi1028, and @ashishkhera had the most positive #SocialTools15 tweets. See more top positive tweets, as well as the top negative tweets, by visiting the #SocialTools15 Scraawl public report and from the “Advanced Analytics” screen, click “Details” for “Sentiment Analysis.”
From the 3,433 #SocialTools15 tweets, only 38 were geocoded. However, even from just these 38, it is easy to see the event location in Boston. Visit the #SocialTools15 Scraawl public report (under “Advanced Analytics”) to explore the other geocoded tweets or look at alternative visualizations (e.g. heatmap).
The #SocialTools15 social media experience was captured and shared in 431 images (top images shown below). @NealSchaffer’s “Social media replaces nothing, but complements everything.” was the most popular image. The 2nd most popular image was for a new book, “You are What You Tweet.” Explore all of the #SocialTools15 image rankings by visiting the #SocialTools15 Scraawl public report and selecting “Media Gallery” under “Advanced Analytics.”
Some of top influential users and hashtags from #SocialTools15 are shown below. First, looking at the top influential hashtags, @nealschaffer and @socialtoolssmmt were the top influential users for “#socialtools15,” the top influential hashtag. For “#contentmarking,” one of the other top hashtags, @seniormanager was most influential. Switching to the top influential users, you can see the other users that made @nealschaffer and @germanykentbook top influential users. Note, by looking at the users that made “@germanykentbook” a top influential user, you can quickly suspect that all of those supporting users are “bots.” Visit “Influence Discovery” under “Advanced Analytics” in the #SocialTools15 Scraawl public report to explore all of the influential users and hashtags.
Across the 3,433 #SocialTools15 tweets, Scraawl’s “Community Detection” advanced analysis identified 43 communities. The largest community, “#socialtools15 @hollychessman @ronniecuriel,” had 400 members while the average community had only 33 members. The top #SocialTools15 communities are shown below.
When looking at communities, it is always interesting to dive a little deeper to understand the relationships. Analysis of two top 10 #SocialTools15 communities are shown below. The first figure shows the realtionships across the top “#socialtools15 @hollychessman @ronniecuriel” community. Note, by selecting a specific node (e.g. @damameyer), you can look at the community from their perspective. Visit the #SocialTools15 Scraawl public report to investigate all of the top communities.
As noted earlier, based on the influence details, @germanykentbook was heavily supported by “bot” behavior. The “bot” behavior is confirmed by looking at the community. Most true communities are a complex network of interactions. In the “@whatutweetbook @germanykentbook #youarewhatyoutweet” community shown below, you can see that two Twitter “users” (i.e. @germanykentbook and @whatutweetbook) are at the center of a perfectly structured, probably fake, network. Note with Scraawl, you have the ability to filter raw tweets to eliminate any potential “bot” activity. Scraawl also offers direct “bot” detection.
Finally, we’ll take a look at the leading topics (shown below) from all the #SocialTools15 tweets. A word cloud, comprised of the key terms driving each topic is shown in the second figure. From these topics, it is clear that the #SocialTool15 community felt that the “social” “summit” offered “great” “insights” for “future” “success”.
Feel free to visit the #SocialTools15 Scraawl public report to find your own insights in the #SocialTools15 data or read other Scraawl case studies in our blog. Note, visibility of the advanced analytics (e.g. influence, communities, etc) requires registering for a free Scraawl account. If you are interested in the #SocialTools15 data for your own analysis or have any questions about Scraawl, please contact us.