I stayed in SBP11 for the whole day today, attending the keynote speaker sessions and all presentations. As it is a multi-disciplinary computer-modeling conference, I will not say I have interest in every topic presented. Here, I summarize my observation into four themes:
1. A few studies use social network analysis to identify the relationships among a group of people. Based on the frequency and pattern of communications and/or interactions, a social-network map can be drawn. This tactic could be used by federal agencies to identify the leaders of an organization (e.g. terrorist groups).
2. Some studies identify the frequently-used key words from a large data set (e.g. tweets) with data mining techniques, such as Latent Dirichlet Allocation (LDA). Social network analysis and LDA seems to be the “popular” methods.
3. There are more topics related to public health and medicare issues than I expected. Computer-modeling is a tool for data analysis. Where should these methods be used is researchers’ choice. Probably this is why this is multi-disciplinary conference.
4. In terms of planning a conference (event management), I feel the organizer put up a very good event. It is not a huge conference with thousands of attendees. The food was good. They are able to find a few sponsors to lower attendees’ costs --- registration fee is around $200 (I pay more than $600 for some other academic conferences); the conference was even able to provide some travel supports to students. I enjoyed the round table discussion session, where I could introduce myself to other experts and a few federal funding agencies. This conference informed me of several grant and collaboration opportunities.
Stay tuned for SBP11 Day 3. Dr. Bei Yu and I co-authored a paper entitled Toward Predicting Popularity of Social Marketing Messages in this conference, which will be presented in Day 3.
Relevant discussion: SBP11 Day 1
2. Some studies identify the frequently-used key words from a large data set (e.g. tweets) with data mining techniques, such as Latent Dirichlet Allocation (LDA). Social network analysis and LDA seems to be the “popular” methods.
3. There are more topics related to public health and medicare issues than I expected. Computer-modeling is a tool for data analysis. Where should these methods be used is researchers’ choice. Probably this is why this is multi-disciplinary conference.
4. In terms of planning a conference (event management), I feel the organizer put up a very good event. It is not a huge conference with thousands of attendees. The food was good. They are able to find a few sponsors to lower attendees’ costs --- registration fee is around $200 (I pay more than $600 for some other academic conferences); the conference was even able to provide some travel supports to students. I enjoyed the round table discussion session, where I could introduce myself to other experts and a few federal funding agencies. This conference informed me of several grant and collaboration opportunities.
Stay tuned for SBP11 Day 3. Dr. Bei Yu and I co-authored a paper entitled Toward Predicting Popularity of Social Marketing Messages in this conference, which will be presented in Day 3.
Relevant discussion: SBP11 Day 1
As far as social media and LDA, these techniques have proven useful time and time again, first story that pops into mind are the Domino's employees that got fired after posting a video of how the tampered with food in the back of the restaurant. Also, a woman was fired after discrediting her boss on her Facebook status under the Constitutional right of the boss to not have his name slandered unrightfully or untruthfully.
ReplyDeleteJumping over to the event planning, offering assistance to students was a very good idea for them as current college students are the ones who will be taking over the new rise of technology and who are able to pick up on it quicker as they have been raised in such an environment most of their lives. Also with programs such as Computer Engineering like at SU, upcoming college grads are being prepped to assess and handle situations like these as they go out into the world. Also, those in service industries like hospitality will need to be able to learn and use these systems effectively to keep up with the changing technology in the industry.
Thank you for sharing such a useful article. I had a great time. This article was fantastic to read. Continue to publish more articles on
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