BRINGING DEVELOPERS AND DEVOPS TOGETHER AROUND BIG DATA

#J_ONTHEBEACH
BRINGING DEVELOPERS
AND DEVOPS TOGETHER
AROUND BIG DATA
20TH-21ST MAY 2016
LA TÉRMICA, MÁLAGA, SPAIN

#J_ONTHEBEACH
In May 2016, Málaga has been the edge
of the Big Data World thanks to the
J_OnTheBeach conference where more
than 40 international speakers from
leading companies have share their best
practices, frameworks and technologies
with more than 350 attendees.
Twitter has been the major social
network chosen by most of the
participants, to exchange their points of
view on the conference, technologies and
speakers.
Sponsors have been using this network to
promote the conference, and human
resources departments have published
their open positions regarding
technologies related to the Conference, in
order to let attendees be aware of them.
Ingraph, a Big Data Analytics platform
based on graphs has been used at
J_OnTheBeach to follow, measure, and
categorize Twitter activity around the
conference during one week.

#J_ONTHEBEACH
WHO IS THE MOST IMPORTANT PERSON OR COMPANY SPEAKING ABOUT THE
CONFERENCE ?
The response is... depend, because the concept of “important” person may be
understood in many different ways. That’s why Ingraph measure Twitter accounts
relevance according to different concepts:
COOLEST TEACHER:
Who is getting more Twitter
engagement when talking about the
conference and related technologies,
among all J_OnTheBeach speakers. The
winner in this category has been
@jaime_allen.
Jamie is author of Effective Akka
(O’Reilly), and the co-author of the
upcoming Reactive Design Patterns
(Manning). Jamie is a computer
languages enthusiast who enjoys writing
performant code that most efficiently
leverages the resources at hand.
Jamie is considered by Ingraph as the
Coolest Teacher thanks to its talk “The
future of Service-Based Architectures”,
and the impact of this talk on Twitter.

#J_ONTHEBEACH
TRENDSETTER:
Who is getting more Twitter
engagement when talking about the
conference and related technologies.
The winner in this category is @47deg.
47 Degrees is a global consulting firm
and certified Lightbend and Databricks
partner, specializing in Scala, Play, Akka
and Spark.
BOOKWORM:
Who is performing more Twitter activity
talking about the event and related
technologies. The winner in this
category is @Nickiehills.
Nicola Hills, is Software Development
Executive at ITRS, company owner of
Valo.io, and JOnTheBeach conference
organizer.

#J_ONTHEBEACH
MOST POPULAR:
Which new @J_OnTheBeach follower has
more visibility on Twitter. The winner in
this category is @Kellabyte.
Kelly Sommers is 4x Windows Azure
MVP and Former 2x DataStax MVP for
Apache Cassandra, and the most
popular J_OnTheBeach new follower,
with more than 25.000 followers on
Twitter.
GEEKIEST:
Who is performing more Twitter activity
about the event and the geekiest
technologies. The winner in this
category is @47deg.
Again, 47 Degrees achieve the top
ranking, thanks to its tweets regarding
the geekiest technologies (Spark, Akka,
Scala,...)

#J_ONTHEBEACH
¿WHAT’S THE TOP TWEETS AROUND J_ONTHEBEACH CONGRESS?
Ingraph captures every tweet from Twitter about J_OnTheBeach, and perform a
ranking over them, taking into account different criteria, like number of retweets, likes,
mentions of the tweets, as well as the potential audience of them, taking also into
account how relevant are Twitter accounts interacting with each Tweet.
Here we can see that the twitter accounts that achieve more relevance about their
tweets around the conference are @47deg (one of the conference sponsors),
@J_OnTheBeach (the official account of the conference and @latermicamlg (account of
the place where the conference was held in Málaga).

#J_ONTHEBEACH
WHAT’RE THE MOST COMMON WORDS AT TWEETS ABOUT JONTHEBEACH ?
The J_OnTheBeach conference tweets wordcloud give us an idea of the most repeated
words at tweets about the conference at Twitter.
Here it is possible to see clearly that, of course J_OnTheBeach Twitter account and
official hashtag are included in most of the tweet regarding the conference.
Words like great, thanks, awesome, and best repeated at many tweets, give us
information regarding a high level of satisfaction of the people with the conference.
Regarding speakers, Mar Cabra (@Cabralens) with its conference about Panama
Papers, Valo.io, the conference organizer (@valo_io), Justo Ruiz (@justoruizferrer)
ITRS&Valo CTO, the sponsor @intellimentsec (Silver sponsors) and @eburyuk (Fintech
company), achieved a relevant number of mentions at J_OnTheBeach tweets.
#BigData and #Málaga, complete the list of most used hashtags at J_OntheBeach
tweets.

#J_ONTHEBEACH
WHAT’RE THE TWEETS NUMBER EVOLUTION DAY BY DAY ?
As can be seen in the next time series, the couple of days of the event where when the
maximum number of tweets happen, achieving more than 400 tweets in the first day,
and more than 300 in the second day.
The day after the conference, the number of tweets related to it decrease to a 10%,
mainly from people giving thanks to the organization and sponsors.
The day previous to the conference the number of tweets is close to 50. After this
summary, let’s start with the graph analytics process around the conference…

#J_ONTHEBEACH
WHAT’S TWITTER USERS AT FOLLOWING THE SAME TIME TO SEVERAL SPEAKERS?
This graph show as main nodes, the twitter users accounts that have been registered
as “Roots”:
Over the whole graph of users following one speaker, it is possible to apply filters in
order to process the visual information in a more comfortable way. Ingraph provides
different filters including the followers types:

#J_ONTHEBEACH
As an example, it is provided the graph obtained applying a filter to display users that
are following at the same time @J_OnTheBeach and @jamie_allen accounts
For each user, it is used a color scale, in order to high light those users that are better
according to several parameters. In that case we have in a darker color, those
followers that followed at the same time for a high number of users.
Thus, if we want to promote something like a conference, a talk, or even a product, we
will try to get tweets for them, because interaction from this people give a higher
potential audience.
One of this Twitter users could be @skillsmatter, with more than 11.000 followers.

#J_ONTHEBEACH
An this is just the beginning, cause for each “Root” user registered we can reach
detailed insights on Ingraph.
Selecting for example @J_OnTheBeach account, we can see the followers evolution of
this account during the days of the conference, and also in previous days.
Here we can see that @J_OnTheBeach has increased its followers in 200 users in the
last month, most of them in the days of the congress, but also having a continuous
grow in previous weeks.

#J_ONTHEBEACH
HOW @J_ONTHEBEACH FOLLOWERS ARE?
That question can be answered according to several characteristics of @J_OnTheBeach
followers, including: number of followers, friends, language and geography.
In this view we can see that most of @J_OnTheBeach followers have between 128 and
2048 followers. Each column of the followers histogram show how many people are
on each followers range.
Taking a look to the friend number of @J_OnTheBeach followers, we can see that most
users have between 256 and 8192 followers, so that means that in general,
@J_OnTheBeach followers have more followers than the number of people they are
following.
According to its Language, most of the @J_OnTheBeach followers speak in Spanish and
English, what is normal considering that it is an international event where English is
the official language, but celebrated in Spain. With a minor impact it also have people
talking in French, Italian, Portuguese, and Russian between other.

#J_ONTHEBEACH
According to its timezone, more or less 50% of the people is not providing this
information (probably with location disabled in their smartphones, being the higher
group users with timezones Madrid, Pacific Time, and London.

#J_ONTHEBEACH
WHAT ABOUT THE HASHTAG OF THE CONFERENCE #J_ONTHEBEACH ?
The same kind of analysis can be done over the official conference hashtag,
considering the hashtag as “Root” node, and connecting to each one node of user at
Twitter that write a tweet with this hashtag.
Again, a different color scale is applied to “Users” nodes, according its relevance (in
that case a dark color is used for users having more followers and a light color for
those users having less followers).

#J_ONTHEBEACH
TAKING A LOOK TO THE DETAILED HASHTAGS METRICS, WE HAVE THE FOLLOWING
INSIGHTS:
Number of tweets with the selected hashtag by day in interactive temperature
calendar
Number of tweets by hour. That is interesting considering that if you want to do a
tweet with the conference hashtag, having the higher impact, may be you should do it
when more people is talking about it, because you will have more potential readers.
The bigger percentage of tweets is sent by user around 15:00 o’clock by average.

#J_ONTHEBEACH
Wordcloud. In the Infographic wordcloud, we have seen the words more commonly
used in the last week, but if take into account all tweets with the conference hashtag,
we can see a new wordcloud.
Users rankings. Finally, but may be the most important insight is the ranking of users
according to different characteristics, between users with tweets using the hashtag
#J_OnTheBeach.

#J_ONTHEBEACH

#J_ONTHEBEACH

#J_ONTHEBEACH
Another interesting way to perform visual queries on Ingraph over an interactive
graph is using colors. Thus, it is possible to apply colors according to different
parameters.
In the following example we can see users that talk about #J_OnTheBeach alone, or
join with other hashtags that also can be registered as “Roots” like Scala Málaga or
BigData Málaga, using different colors for users using one or more hashtags:

#J_ONTHEBEACH
That’s just an example of the power or graph. A graph can have as root nodes for
example people and economic transactions as connected nodes in a banking
environment or we can have postal offices as main nodes and parcel or letters as
connected nodes, and apply the same kind of analytics about it, looking for fraud
detection or logistics network optimization.
There is no limit, because almost everything can be analyzed as a network.

#J_ONTHEBEACH
EXPLORE THE NETWORK
WANT TO TRY INGRAPH
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