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InfraNodus
Top keywords (global influence):
Top topics (local contexts):
Explore the main topics and terms outlined above or see them in the excerpts from this text below.
See the relevant data in context: click here to show the excerpts from this text that contain these topics below.
Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.
Tip: here are the keyword queries that people search for but don't actually find in the search results.

Bicycle accidents hit record high in 2020 as number of cyclists grow ... Feb 19, 2021 ... The number of bicycle accidents last year in Metro Manila ... terrain but a lack of basic road safety, such as this accident where a cyclist ... https://philstarlife.com/news-and-views/499928-bicycle-accidents-2020

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Metro Manila averaged 86 motorcycle accidents a day in 2019 ... Feb 28, 2020 ... Contrary to what we thought, EDSA takes the lion's share of motorcycle accidents, with 17,382 reported in 2019. 8,735 were reported on C5, ... https://www.motopinas.com/motorcycle-news/metro-manila-averages-86-motorcycle-accidents-a-day-in-2019.html

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The Most Accident-prone Streets and Cities in Metro Manila (2014 ... This is part of our ongoing set of stories on road safety in Metro Manila. ... (2am) and the vehicles most vulnerable to crashes (motorcycles & bicycles). https://stories.thinkingmachin.es/road-danger-streets-cities/

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MMDA- TEC- ROAD SAFETY UNIT MMARAS Annual Report ROAD). SAFETY. The Metro Manila Accident Reporting and Analysis System ... The presence of major road networks in this three (3) cities like EDSA, C5 road. https://mmda.gov.ph/images/Home/FOI/MMARAS/MMARAS_Annual_Report_2019.pdf

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Motorcycles ranked deadliest vehicle in 2015 | Inquirer News Apr 4, 2016 ... According to him, the majority of Metro road accidents occurred on Commonwealth Avenue and Edsa. "When we first implemented the motorcycle ... https://newsinfo.inquirer.net/777633/motorcycles-ranked-deadliest-vehicle-in-2015

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Growth of Motorcycle Use in Metro Manila: Impact on Road Safety A4 Number of Vehicles and Casualties in Road Crashes, 2017. 30. A5 Road Crashes along EDSA City Routes. 31. A6 Road Crashes along EDSA Accident-Prone Areas. https://www.adb.org/sites/default/files/publication/617641/motorcycle-use-metro-manila-road-safety.pdf

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Cyclists, here's what to do if a car hits you - Multisport.ph If motorcycle drivers are vulnerable in the streets of Metro Manila, ... to make roads safer for cyclists, turning biking into a safe and viable mode of ... https://multisport.ph/39882/cyclists-heres-what-to-do-if-a-car-hits-you/

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There are more Metro Manila road mishaps daily than you'd think Sep 24, 2018 ... EDSA Taft Avenue — 1,542 accidents. Furthermore, the World Health Organization in 2013 cited that the Philippines loses 3 percent of its gross ... https://interaksyon.philstar.com/breaking-news/2018/09/24/134409/metro-manila-road-mishaps-daily/

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Motorbike crashes up 21% in 2018 – MMDA | Philstar.com Jun 7, 2019 ... Records from MMDA's Traffic Engineering Center-Road Safety Unit showed that 26,652 motorcycle riders in Metro Manila figured in a road crash ... https://www.philstar.com/nation/2019/06/07/1924261/motorbike-crashes-21-2018-mmda

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What Are Common Causes of Motorcycle Accidents? | Nolo Motorcycle riders are overrepresented in fatal traffic accidents: ... of all traffic deaths, according to the National Highway Traffic Safety Administration ... https://www.nolo.com/legal-encyclopedia/motorcycle-accidents-common-causes-30330.html

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What Are Common Causes of Motorcycle Accidents? | Nolo Motorcycle riders are overrepresented in fatal traffic accidents: ... of all traffic deaths, according to the National Highway Traffic Safety Administration ... https://www.nolo.com/legal-encyclopedia/motorcycle-accidents-common-causes-30330.html

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MMDA to 'strictly enforce' motorcycle blue lanes | The Manila Times Nov 12, 2016 ... MMDA data showed that out of the 265 daily vehicular crashes in Metro Manila, 30 involve motorcycle riders. Based on the Road Crash Statistical ... https://www.manilatimes.net/2016/11/12/todays-headline-photos/top-stories/mmda-strictly-enforce-motorcycle-blue-lanes/296116

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Smoke Engulfed EDSA Shaw Flyover Due To Accident Sep 1, 2020 ... Staying safe while driving · 10 bike shops in Metro Manila · 70-year-old lolo bikes around the metro on colourful outfits · Gamer orders custom ... https://thesmartlocal.com/philippines/edsa-shaw-flyover-accident/

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Accident Prone Roads in the Philippines | Moneymax Top 5 Accident Prone Areas Along EDSA. The MMDA's latest road safety findings reveal the most dangerous parts of EDSA. Be very careful when traversing these ... https://www.moneymax.ph/car-insurance/articles/accident-prone-roads-philippines

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Motoring News 2020: Metro Manila road-accident stats for 2019 ... Feb 29, 2020 ... There were more motorcycle-related deaths, however, with 234 reported fatalities. More fatal motorcycle accidents were recorded in 2019 than in ... https://www.topgear.com.ph/news/motoring-news/news-roundup-29-february-2020-a2619-20200229-lfrm

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MMDA Resolution No. 12-01, s. 2012 | Official Gazette of the ... Jan 26, 2012 ... METRO MANILA COUNCIL. MMDA Resolution No. 12-01. Series of 2012. ESTABLISHING A MOTORCYCLE LANE ALONG EPIFANIO DELOS SANTOS AVENUE (EDSA). https://mirror.officialgazette.gov.ph/2012/01/26/mmda-resolution-no-12-01-s-2012/

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MMDA releases EDSA road crash data for 2020 Sep 9, 2020 ... MMDA: Sharp drop in EDSA road crashes this year, only 618 ... compare Metropolitan Manila Development Authority (MMDA) statistics in 2020 to ... https://www.topgear.com.ph/news/motoring-news/mmda-edsa-road-crash-data-2020-a962-20200909

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Bicycling Surges in Manila Amid Covid-19 Lockdowns - The New ... Dec 13, 2020 ... Metro Manila's cycling surge is notable because the area has some of ... his mountain bike in August, came close to having an accident while ... https://www.nytimes.com/2020/12/13/world/asia/philippines-manila-bicycles-coronavirus.html

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Speed limits in the Philippines - Wikipedia Metropolitan Manila Development Authority. Retrieved March 29, 2019. ^ "Road Safety – Imagine law". Retrieved ... https://en.wikipedia.org/wiki/Speed_limits_in_the_Philippines

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Motoring News 2021: Mud on EDSA, Hidilyn Diaz's new Kia, ECQ ... Aug 8, 2021 ... "In a Facebook post this morning, Metropolitan Manila Development ... Two motorcycle accidents have already been recorded,' he said, ... https://www.topgear.com.ph/news/motoring-news/news-roundup-080621-a2619-20210808-lfrm2

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MMDA: 9,000 errant drivers await license suspension Sep 8, 2020 ... The announcement came as MMDA pushed for road safety, having been "alarmed" of rising barrier-related crash incidents along EDSA. https://www.rappler.com/nation/mmda-errant-drivers-license-suspension

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The Healthy Juan: Road safety for motorists, passengers, and ... Jul 16, 2020 ... About 42 vehicular accidents happen on Epifanio Delos Santos Avenuen (EDSA) daily while crashes mostly occur in Commonwealth Avenue. Road ... https://www.gmanetwork.com/entertainment/celebritylife/health/66257/the-healthy-juan-road-safety-for-motorists-passengers-and-pedestrians/story

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Road Accidents In The Philippines: Key Figures Jul 18, 2017 ... According to the MMDA, among the most accident-prone roads in Metro Manila are Alabang-Zapote Road, Commonwealth Avenue, and Edsa. https://www.ecomparemo.com/info/road-accidents-in-the-philippines-key-figures

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Lawmakers express varying sentiments over the establishment of ... Jun 13, 2020 ... "I don't like the idea of a bike lane in EDSA. ... in pushing for the setting up of protected bike lanes "on the roads and not on sidewalks. https://mb.com.ph/2020/06/13/lawmakers-express-varying-sentiments-over-the-establishment-of-bike-lanes-along-edsa/

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Beyond EDSA and Commonwealth, other crash-prone QC roads ... Dec 5, 2017 ... Quezon City recorded a total of 33,717 road crashes last year, the highest in Metro Manila according to the MMDA. For the government, it's ... https://verafiles.org/articles/beyond-edsa-and-commonwealth-other-crash-prone-qc-roads-need

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Poe blames poor road safety signs for high vehicular accidents ... Jun 16, 2021 ... She cited in her bill a report by the MMDA, which recorded 121,771 road crash incidents in Metro Manila in 2019, 372 of which were fatal. https://mb.com.ph/2021/06/16/poe-blames-poor-road-safety-signs-for-high-vehicular-accidents/

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MMDA: Motorcycle accidents increased to over 31,000 in 2019 ... Feb 28, 2020 ... Meanwhile, Traffic Engineering Center (MMDA-TEC) – Road Safety Unit recorded a total of 121,771 road crashes in the Metro Manila last 2019. https://www.untvweb.com/news/mmda-motorcycle-accidents-increased-to-over-31000-in-2019/

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Better warning system along EDSA needed amid barrier-linked ... Jun 20, 2020 ... MANILA--Road safety proponents are calling for additional safety devices, such as warning markers, to help minimize crashes and injuries in ... https://news.abs-cbn.com/news/06/20/20/better-warning-system-along-edsa-needed-amid-barrier-linked-crashes-motorists-say

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Gov't to bolster efforts to curb concrete-barrier related accidents Sep 9, 2020 ... Road Crash Statistics in Metro Manila from January-August this year ... Further, MMDA noted that of the 618 accidents occurred on EDSA this ... https://ph.news.yahoo.com/govt-bolster-efforts-curb-concrete-000000781.html

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Another bus hits Edsa barrier; speeding to blame: DOTr, MMDA ... Jul 27, 2020 ... MANILA – Another city bus has crashed into the concrete road ... an accident occurred, according to the Department of Transportation (DOTr). https://www.pna.gov.ph/articles/1110265

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Motorcycle rider dead, six hurt in Skyway project accident in ... Nov 21, 2020 ... Metro Manila (CNN Philippines, November 21) — A steel bar from a ... The incident happened along East Service Road in Barangay Cupang around ... http://cnnphilippines.com/news/2020/11/21/skyway-steel-girder-collapse-muntinlupa.html

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What Really Causes Traffic Congestion? - Bklyner Jul 8, 2013 ... Just get rid of all the cars, encourage the use of bikes by building ... Lane closure due to utility work; Road narrowing down; An accident. https://bklyner.com/what-really-causes-traffic-congestion-sheepshead-bay/

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Bicycle Safety Reminders: Avoid Bike Crashes, Idiots on Bike, Angry ... Nov 2, 2020 ... The number of deaths from bicycle incidents increased. ... video shows hectic road bike crashes & motorcycle & bike mishaps & accidents, ... https://www.yodisphere.com/2020/11/bicycle-safety-reminders-avoid-bike.html

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Seat Belt Law: The Most Violated Road Rule in the Philippines ... Mar 26, 2018 ... This means that too many risk serious injury and death in the event of a road crash.Imagine that you are in a car that crashes at 50 ... https://pulitzercenter.org/stories/seat-belt-law-most-violated-road-rule-philippines

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Waze - GPS, Maps, Traffic Alerts & Live Navigation - Apps on ... Always know what's happening on the road with Waze. Even if you know the way, Waze tells you about traffic, construction, police, crashes, and more in ... https://play.google.com/store/apps/details?id=com.waze&hl=en&gl=US

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Car Accidents in The Philippines: Causes, Facts & Latest Statistics Oct 6, 2021 ... In fact, in Metro Manila alone, about two children die daily due to road accidents. ... Road safety Philippines is in an alarming situation. https://philkotse.com/safe-driving/road-accidents-in-the-philippines-causes-facts-latest-statistics-5455

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Protected bike lanes key to liveable cities: Greenpeace joins EDSA ... Aug 15, 2020 ... The group is calling on Metro Manila mayors to advance protected bike ... the safe usage of our bike lanes and maintain order on the road to ... https://www.greenpeace.org/philippines/press/9951/protected-bike-lanes-key-to-liveable-cities-edsa-initiative/

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Support – #wearebikescouts The Cyclesafe program is designed to reduce the number of bicycle accidents on the road through education, community engagement, and by providing an online ... https://bikescouts.org/support/

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When are you most in danger on the road? - Thinking Machines ... Oct 1, 2015 ... An accident involving both a truck and a bicycle results in injury or death 80% of the time. Pedestrians made up 44% of fatalities. In 2014, ... https://thinkingmachin.es/stories/road-danger/

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Examples for 2.6 Poisson Distribution: ! λ x ∙ 1. Traffic accidents at a particular intersection follow Poisson distribution with an average rate of 1.4 per week. a) What is the probability that the next ... https://daviddalpiaz.github.io/stat400sp18/notes/pdf/400Ex2_6ans.pdf

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show as nodes: double brackets: categories as mentions:
discourse structure:
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Network Structure Insights
 
mind-viral immunity:
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stucture:
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The higher is the network's structure diversity and the higher is the alpha in the influence propagation score, the higher is its mind-viral immunity — that is, such network will be more resilient and adaptive than a less diverse one.

In case of a discourse network, high mind-viral immunity means that the text proposes multiple points of view and propagates its influence using both highly influential concepts and smaller, secondary topics.
The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

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Nodes Av Degree Density Weighed Betweenness
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Narrative Influence Propagation:
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The chart above shows how influence propagates through the network. X-axis: lemma to lemma step (narrative chronology). Y-axis: change of influence.

The more even and rhythmical this propagation is, the stronger is the central idea or agenda (see alpha exponent below ~ 0.5 or less).

The more variability can be seen in the propagation profile, the less is the reliance on the main concepts (agenda), the stronger is the role of secondary topical clusters in the narrative.
propagation dynamics: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?   show the chart
We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. most of the time non-influential words, occasionally words with a high influence).

Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha <= 0.65), variable (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

For maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). For fiction, essays, and some forms of poetry — "uniform". Informative texts will often have "variable + stationary" score. The "complex" state is an indicator that the text is always shifting its state.

Degree Distribution:
  calculate & show   ?
(based on kolmogorov-smirnov test) ?   switch to linear
Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
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Main Topical Groups:

please, add your data to display the stats...
+     full stats   ?     show categories

The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph using the Force Atlas algorithm (Jacomy et al) and are given a distinct color.
Most Influential Elements:
please, add your data to display the stats...
+     Reveal Non-obvious   ?

We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
Network Structure:
N/A
?
The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.


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Action Advice:
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Structural Gap
(ask a research question that would link these two topics):
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Reveal the Gap   Generate a Question   ?
 
A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

Latent Topical Brokers
(less visible terms that link important topics):
N/A
?

These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

Emerging Keywords
N/A

Evolution of Topics
(number of occurrences per text segment) ?
The chart shows how the main topics and the most influential keywords evolved over time. X-axis: time period (split into 10% blocks). Y-axis: cumulative number of occurrences.

Drag the slider to see how the narrative evolved over time. Select the checkbox to recalculate the metrics at every step (slower, but more precise).

 
Main Topics
(according to Latent Dirichlet Allocation):
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 ?  

LDA stands for Latent Dirichlet Allocation — it is a topic modelling algorithm based on calculating the maximum probability of the terms' co-occurrence in a particular text or a corpus.

We provide this data for you to be able to estimate the precision of the default InfraNodus topic modeling method based on text network analysis.
Most Influential Words
(main topics and words according to LDA):
loading...

We provide LDA stats for comparison purposes only. It works with English-language texts at the moment. More languages are coming soon, subscribe @noduslabs to be informed.

Sentiment Analysis


positive: | negative: | neutral:
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We analyze the sentiment of each statement to see whether it's positive, negative, or neutral. You can filter the statements by sentiment (clicking above) and see what kind of topics correlate with every mood.

The approach is based on AFINN and Emoji Sentiment Ranking

 
Use the Bert AI model for English, Dutch, German, French, Spanish and Italian to get more precise results (slower). Standard model is faster, works for English only, is less precise, and is based on a fixed AFINN dictionary.

Keyword Relations Analysis:

please, select the node(s) on the graph see their connections...
+   ⤓ download CSV   ?

Use this feature to compare contextual word co-occurrences for a group of selected nodes in your discourse. Expand the list by clicking the + button to see all the nodes your selected nodes are connected to. The total influence score is based on betweenness centrality measure. The higher is the number, the more important are the connections in the context of the discourse.
Top Relations / Bigrams
(both directions):

⤓ Download   ⤓ Directed Bigrams CSV   ?

The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).

Text Statistics:
Word Count Unique Lemmas Characters Lemmas Density
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Text Network Statistics:
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Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

 
We will build two graphs:
1) Google search results for your query;
2) Related searches for your query (Google's SERP);
Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

 
We will build two graphs:
1) the content that already exists when you make this search query (informational supply);
2) what else people are searching for when they make this query (informational demand);
You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
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